Intel

Bria is a visual generative AI company that specializes in creating and modifying visual content through innovative technology. The company offers a Visual Gen AI Platform that provides AI teams access to complete source code and model weights, trained on licensed data. Bria's Visual Creation API Suite features over 30 specialized APIs for various tasks, including image generation and editing. Additionally, the company delivers tailored generation services that align AI models with specific brand assets, ensuring consistency in product imagery and supporting scalable marketing efforts. By addressing legal complexities, privacy issues, and the risks of misinformation, Bria combines authentic and synthetic content to enhance the creative capabilities of marketing teams, designers, and content creators.

Quantum Machines is a start-up focused on developing advanced control and operation systems for quantum computers. The company specializes in creating innovative software, hardware, and electronics that integrate classical engineering disciplines, including electrical, hardware, and software engineering, with the principles of quantum computing. By employing expertise in algorithmics, digital signal processing, RF microwave engineering, machine learning, and quantum physics, Quantum Machines aims to enhance the capabilities of quantum technology. Their next-generation quantum controllers are designed to translate quantum algorithms into pulse sequences, enabling organizations across various industries to execute complex quantum algorithms and experiments in an intuitive and efficient manner.

TrueFoundry is an enterprise platform that enables organizations to build, deploy, and manage large language model applications efficiently. The platform streamlines the AI deployment process by automating the post-model pipeline, which includes application programming interface deployment and auto-scaling features. Additionally, it offers built-in monitoring and observability tools, allowing machine learning teams and data scientists to create explainable demo web applications for quicker feedback from business stakeholders. With its emphasis on proactive maintenance and centralized access controls, TrueFoundry aims to enhance productivity and facilitate the effective use of AI technologies across various enterprises.

Aira Technologies specializes in developing software that enhances the performance and energy efficiency of wireless networks through machine learning. By analyzing existing contextual data within mobile network systems, Aira's technology predicts and optimizes network performance, allowing Mobile Network Operators (MNOs) to improve coverage, throughput, and capacity. This innovation helps MNOs reduce energy consumption and overall operational costs while maintaining a consistent user experience in fluctuating conditions. Aira's solutions enable operators to achieve greater efficiency in resource utilization, ultimately contributing to a more sustainable and effective wireless infrastructure.

Bezoku is a proud member of the Intel Liftoff Program. Learn more from this interview with Intel - https://open.spotify.com/episode/46Tm102BjfV3B7YTngwg6F?si=IbKt_CeXS5CRyLzm8li8RQ

InAccel, Inc., established in 2018 and headquartered in Wilmington, Delaware, specializes in developing and providing hardware accelerators for applications based on novel field programmable gate arrays (FPGAs). The company offers accelerators for machine learning tasks like logistic regression and k-means clustering, as well as financial risk valuation tools such as Black-Scholes and binomial models. InAccel's products are compatible with the Amazon AWS F1 platform and are available as an 'accelerators-as-a-service' offering, enabling customers to seamlessly enhance the speed of their machine learning and analytical workloads on Apache Spark, resulting in significant performance gains and reduced cloud costs.

Bria is a visual generative AI company that specializes in creating and modifying visual content through innovative technology. The company offers a Visual Gen AI Platform that provides AI teams access to complete source code and model weights, trained on licensed data. Bria's Visual Creation API Suite features over 30 specialized APIs for various tasks, including image generation and editing. Additionally, the company delivers tailored generation services that align AI models with specific brand assets, ensuring consistency in product imagery and supporting scalable marketing efforts. By addressing legal complexities, privacy issues, and the risks of misinformation, Bria combines authentic and synthetic content to enhance the creative capabilities of marketing teams, designers, and content creators.

AI21 Labs, founded in 2017 and based in Tel Aviv-Yafo, Israel, specializes in developing generative artificial intelligence and large language models. The company creates tools designed to enhance the understanding and generation of natural language, effectively transforming how users read and write. Its AI-driven writing companion captures real intelligence, rephrasing text to convey precise meanings while providing summaries that aid in comprehension. These innovations empower users to analyze and visualize complex information more efficiently, facilitating a deeper understanding of abstract knowledge structures. Through the application of deep learning and computer vision algorithms, AI21 Labs aims to significantly improve the efficiency of reading and writing processes.

87% of AI projects never make it to production. Whether it’s because they are inaccurate, hallucinate, don’t work in real-world contexts, misunderstand real people or that they’re stuck before they start because of the “cold-start problem”, the issue comes down to not enough high-quality use-case specific, privacy-compliant labeled data for training. But real-world human-labeled data is expensive and requires a lot of data science labor – and synthetic data is so low-quality and unrelated to the model’s actual use-case that it doesn’t improve performance much. Nurdle can help. By using real-world human-labeled kernel datasets built for specific use-cases, we produce enhanced synthetic datasets that perform almost as well as human-labeled at the speed and price of synthetic datasets. Contact us for a free data gap analysis showing you what kind of data you’re missing and how much you need for your performance target. Nurdle AI uses real-world custom use case datasets to generate synthetic datasets for accurate LLMs.

Stability AI is a startup specializing in artificial intelligence-driven visual art. It designs and develops open AI tools, focusing on creating open models for various media types such as images, videos, 3D, and audio. The company fosters a global community of experts and partners, promoting collaboration in AI tool development.

Twelve Labs specializes in a multimodal artificial intelligence platform designed to enhance video understanding across various applications. The platform enables businesses and developers to analyze video content by integrating visual and auditory data, facilitating the creation of intelligent video applications. It offers APIs for functions such as searching, generating, and classifying video content, allowing users to deploy solutions on any cloud, customize models, and fine-tune with their own data. Twelve Labs serves diverse industries, including technology, media, entertainment, and security, empowering clients to harness complex video information for a range of downstream tasks.

Hugging Face, established in 2016 and based in New York, specializes in open-source machine learning technologies. It operates a platform that facilitates collaboration on machine learning projects, including models, datasets, and applications. The company aims to democratize machine learning by providing tools and services that support and advance the field, while also offering paid computing and enterprise systems to accelerate development.

MDI Health Technologies Ltd, established in 2018 and headquartered in Shoham, Israel, specializes in developing an AI-driven medication management system. This system collects and analyzes patient data, predicts medication risks and efficacies, suggests actionable insights, and monitors treatment progress. It serves patients, doctors, and clinical pharmacologists, aiding in preventing drug-related issues, optimizing medication therapy, and reducing healthcare costs.

Alkymi, Inc. is a New York-based company that specializes in developing a data inbox designed to manage unstructured data for enterprises. Founded in 2017, Alkymi provides an end-to-end solution that ingests and normalizes various forms of unstructured data, including documents, emails, PDFs, images, and XML. By leveraging advanced machine learning and automation, the platform empowers users in sectors such as financial services, compliance, human resources, and customer relationship management to convert raw data into actionable insights. This capability enhances decision-making processes, allowing organizations to respond swiftly to market changes and improve operational efficiency. Notable clients include leading firms in the private markets sector, which utilize Alkymi's technology to better scale investments and enhance client service.

Prophesee SA, founded in 2014 and based in Paris, France, specializes in advanced machine vision sensors and systems through its innovative neuromorphic vision technology. Originally known as Chronocam SAS, the company rebranded in 2018 to reflect its pioneering approach to computer vision, which mimics the human eye and brain by detecting essential motion information rather than capturing a series of images. This unique Metavision® method enables Prophesee to achieve exceptional performance metrics, including high-speed time resolution, dynamic range, and significant reductions in data volume and power consumption. Its technology caters to a diverse range of industries, including biomedical, gaming, industrial automation, mobile devices, robotics, security, and automotive applications. Prophesee's team of over 100 engineers holds more than 50 international patents and has established a global presence with offices in cities such as Grenoble, Shanghai, Tokyo, and Silicon Valley, supported by a network of prominent investors.

Inworld AI is an AI framework powering massive consumer applications. Inworld is funded by VCs including Lightspeed, Stanford University, Kleiner Perkins, Founders Fund, Section 32, M12, Intel Capital, CRV, Bitkraft, and Meta, as well as a team of all-star angels including corporate executives, top VC funds' partners, scouts, and industry veterans.

Anyscale, Inc. is a technology company based in Berkeley, California, founded by the creators of the open-source project Ray. It specializes in developing distributed programming platforms and tools that simplify the creation and scaling of artificial intelligence applications. Anyscale's software enables developers and machine learning engineers to effortlessly scale their applications from local environments to the cloud, eliminating the need for complex infrastructure. The company's framework allows users of varying skill levels to build and deploy compute-intensive applications efficiently, facilitating faster and more cost-effective market entry for AI products. Anyscale aims to enhance the end-to-end AI lifecycle, making it accessible for organizations to leverage AI technologies.

Opaque Systems is a startup that provides secure data analytics and machine learning services in the cloud. The company specializes in enabling organizations to analyze encrypted data without exposing it in an unencrypted form, thus ensuring data privacy. Their platform, built on the open-source MC2 Platform, incorporates advanced technologies such as secure hardware enclaves and cryptographic fortification. This allows users to utilize familiar tools like Apache Spark for various data-related tasks, including running SQL queries, performing complex analytics, and executing ETL (extract, transform, load) pipelines on encrypted data. Additionally, Opaque facilitates the secure training of machine learning models on sensitive data, enhancing privacy through federated learning and server-side aggregation of client updates.

Syntiant specializes in developing neuromorphic semiconductors that bring artificial intelligence and machine learning capabilities directly to edge devices, reducing reliance on cloud-based processing. The company's advanced chip solutions combine deep learning with semiconductor design to create ultra-low-power, high-performance processors for deep neural networks. These processors are ideal for always-on applications in battery-powered devices such as smartphones, smart speakers, earbuds, hearing aids, and laptops, enabling the development of AI technology for sensor, voice, and video applications across a wide range of products.

Ponder Data Inc. specializes in providing enterprise-ready tools that facilitate rapid and flexible experimentation with data at scale. The company's platform is designed to enhance productivity for data teams by enabling them to obtain insights more swiftly, utilizing familiar tools. Ponder's technology focuses on maintaining scalable machine learning and analytics capabilities, allowing users to handle workloads of varying sizes while preserving the user-friendly nature of the pandas API. This approach empowers organizations to perform data science tasks efficiently and effectively, making it easier for teams to derive valuable insights from their data.

MinIO, Inc. is a developer of a high-performance, open-source object storage server that is compatible with Amazon S3 APIs. Founded in 2014 and based in Palo Alto, California, the company specializes in providing a Kubernetes-native object store optimized for cloud-native workloads. MinIO's platform is designed to support the growing demands of unstructured data, allowing enterprises to manage various workloads such as machine learning, analytics, and data backup from a single solution. It enables application developers to create their own cloud storage systems for diverse data types, including images, videos, and log files, while ensuring portability across both public and private cloud environments. Additionally, MinIO offers a public play server that allows developers and system administrators to familiarize themselves with S3-compatible object storage.

Anyscale, Inc. is a technology company based in Berkeley, California, founded by the creators of the open-source project Ray. It specializes in developing distributed programming platforms and tools that simplify the creation and scaling of artificial intelligence applications. Anyscale's software enables developers and machine learning engineers to effortlessly scale their applications from local environments to the cloud, eliminating the need for complex infrastructure. The company's framework allows users of varying skill levels to build and deploy compute-intensive applications efficiently, facilitating faster and more cost-effective market entry for AI products. Anyscale aims to enhance the end-to-end AI lifecycle, making it accessible for organizations to leverage AI technologies.

True Fit Corporation operates a footwear and apparel personalization platform that leverages a vast database of fit and style data to enhance the online shopping experience. Founded in 2005 and based in Woburn, Massachusetts, the company offers services designed to help consumers, brands, and retailers navigate the $1 trillion footwear and apparel market. Its Genome compiles extensive, attribute-rich data to enable retailers to provide personalized fit ratings and size recommendations through its Confidence Engine, significantly boosting revenue. Additionally, True Fit's Discovery Engine allows retailers to curate tailored collections for individual consumers, while the True Insight platform delivers valuable insights for optimizing marketing and product development. The company, previously known as True Apparel Company, has formed strategic partnerships, including one with Bamboo Rose, and is supported by a team of seasoned professionals from the fashion, retail, and technology sectors.

Landing AI is a company that specializes in artificial intelligence transformation programs tailored for the manufacturing industry. Founded in 2017 and based in Palo Alto, California, the company develops solutions focused on visual inspection, automation, calibration, and automated issue identification. Its offerings cater to a diverse range of sectors, including manufacturing, retail, automotive, agriculture, telecommunications, and pharmaceuticals. The company aims to empower organizations to become AI-driven by providing a platform that enhances the accuracy of machine learning models through effective data generation and labeling. This platform helps identify environmental issues and alerts users to model changes, thereby facilitating efficient data management and accelerating troubleshooting processes. Founded by Dr. Andrew Ng, a prominent figure in AI, Landing AI is positioned to deliver practical AI solutions that drive value for businesses globally.

NeuroBlade, founded in 2017 and headquartered in Hod-Hasharon, Israel, specializes in the development and manufacturing of artificial intelligence chips designed for the inference phase in both data centers and end-devices. The company's innovative products aim to eliminate memory bottlenecks and support various AI topologies, thereby enhancing analytical query performance. NeuroBlade's proprietary computational memory technology combines extensive expertise in hardware, software, and algorithms to address the growing demand for efficient data analytics infrastructure. By focusing on reducing costs and power consumption, the company aims to facilitate faster insights for businesses navigating digital transformation. NeuroBlade also has operational presence in Taipei, Taiwan, and Palo Alto, California.

Motivo Inc. is a technology company based in Palo Alto, California, founded in 2015. It specializes in developing software solutions that leverage proprietary computational technology, including graph analytics, artificial intelligence, and machine learning, specifically tailored for the semiconductor integrated circuit (IC) industry. Motivo's innovative approach dramatically enhances yield improvement through the use of terascale data analytics, enabling fabless design companies to optimize chip design and accelerate the introduction of new products. By focusing on explainable and interpretable AI and ML technologies, Motivo provides valuable insights that help improve manufacturing outcomes in the semiconductor sector.

Opaque Systems is a startup that provides secure data analytics and machine learning services in the cloud. The company specializes in enabling organizations to analyze encrypted data without exposing it in an unencrypted form, thus ensuring data privacy. Their platform, built on the open-source MC2 Platform, incorporates advanced technologies such as secure hardware enclaves and cryptographic fortification. This allows users to utilize familiar tools like Apache Spark for various data-related tasks, including running SQL queries, performing complex analytics, and executing ETL (extract, transform, load) pipelines on encrypted data. Additionally, Opaque facilitates the secure training of machine learning models on sensitive data, enhancing privacy through federated learning and server-side aggregation of client updates.

Text IQ, Inc. is an artificial intelligence company that specializes in managing privacy, legal, and compliance issues for enterprises. Founded in 2014 and headquartered in New York, with additional offices in San Francisco, Cork, and Vancouver, Text IQ offers an Unstructured Data Platform that employs advanced AI techniques, including unsupervised machine learning and deep learning, to identify and protect sensitive information within large datasets. The platform assists organizations in discovering documents that may pose reputational risks, supports compliance teams in detecting unusual activities, and enables faster case strategy development by efficiently analyzing extensive data. Text IQ serves a diverse clientele, including Global 2000 companies and government agencies, and has garnered attention from major financial, healthcare, and technology sectors. The company has experienced significant growth in both revenue and workforce, reflecting its successful implementation of AI solutions in critical industries.

SambaNova Systems, based in Palo Alto, California, develops a technology platform that integrates hardware and software solutions for artificial intelligence and machine learning applications. Founded in 2017, the company focuses on creating systems optimized for data processing, model training, and analytics, enabling high-performance execution of machine learning tasks. SambaNova's technology is designed to be flexible and scalable, catering to various sectors such as healthcare, finance, and autonomous vehicles. By enhancing the efficiency of AI-powered algorithms, SambaNova aims to support organizations in leveraging advanced data analytics effectively.

Iris.TV, Inc. is a cloud-based platform that enhances video programming for publishers and content owners by facilitating personalized video streaming and improving audience engagement across multiple devices. Founded in 2009 and headquartered in Los Angeles, with an office in New York, the company offers a suite of tools that includes Adaptive Stream for real-time personalized streaming, Asset IQ for automated data structuring and optimization, and IRIS Vision for business intelligence and programming management. By integrating artificial intelligence and machine learning, Iris.TV automates the delivery of customized content based on audience preferences and behaviors. The platform also provides data connectivity to improve viewing experiences and advertising outcomes, enabling scalable solutions for contextual ad targeting, verification, and video recommendations, thereby maximizing video consumption while simplifying operational processes for web, mobile, and OTT distribution.

Katana Graph specializes in developing a graph intelligence platform that empowers businesses to harness the potential of large-scale irregular and unstructured data. By integrating advanced algorithms, hardware acceleration, and cutting-edge storage solutions, the company enhances graph databases, analytics, and mining capabilities, achieving significant performance improvements. This innovative platform allows clients to efficiently process and analyze complex data sets, thereby facilitating better insights and decision-making.

cnvrg.io is a comprehensive data science platform that assists enterprises in managing and scaling artificial intelligence (AI) initiatives. It offers a collaborative end-to-end solution designed to accelerate innovation and facilitate the development of impactful machine learning models. The platform supports a wide range of industries, including finance, gaming, automotive, manufacturing, and e-commerce, enabling data scientists to tackle complex challenges and create intelligent systems. cnvrg.io’s flexible code-first platform allows organizations to run projects on-premise or in the cloud, effectively organizing every stage of the data science workflow—from research and information collection to coding and model optimization. This unified approach empowers enterprises to manage, build, and automate the entire machine learning lifecycle, streamlining the transition from research to production.

SigOpt, Inc. operates an advanced optimization platform designed to enhance the performance of machine learning models, A/B tests, and physical experiments. Founded in 2014 and based in San Francisco, California, the company offers a REST API that integrates seamlessly into existing machine learning workflows. SigOpt's platform employs a black-box optimization approach, allowing users to input parameter spaces and performance metrics without needing to share underlying data. By continuously analyzing model performance, SigOpt refines its suggestions for optimal hyper-parameter configurations, thereby accelerating the model development process and improving results in a cost-effective manner. As of late 2020, SigOpt functions as a subsidiary of Intel Corporation.

Panoply Ltd. offers a cloud-based data analytics platform designed to simplify and automate data management tasks. Its product, Panoply.io, provides an end-to-end solution that streamlines processes from data sourcing to analysis, significantly enhancing the efficiency of analysts and data scientists. The platform automates critical functions such as data modeling, normalization, and cleanup, while also managing infrastructure setup, server launching, scaling, and backup. Additionally, it supports real-time data transformations, flexible schemas, and advanced data privacy and security measures. By leveraging machine learning and natural language processing, Panoply.io reduces the complexity associated with data preparation and infrastructure management, allowing users to focus on analysis rather than technical details. Founded in 2015, Panoply is headquartered in Tel Aviv, Israel, with an additional office in San Francisco, California.

Anyscale, Inc. is a technology company based in Berkeley, California, founded by the creators of the open-source project Ray. It specializes in developing distributed programming platforms and tools that simplify the creation and scaling of artificial intelligence applications. Anyscale's software enables developers and machine learning engineers to effortlessly scale their applications from local environments to the cloud, eliminating the need for complex infrastructure. The company's framework allows users of varying skill levels to build and deploy compute-intensive applications efficiently, facilitating faster and more cost-effective market entry for AI products. Anyscale aims to enhance the end-to-end AI lifecycle, making it accessible for organizations to leverage AI technologies.

Matroid, Inc. is a computer vision company based in Palo Alto, California, founded in 2016. It offers an intuitive platform that enables users to create and deploy custom computer vision detectors without the need for programming. The platform allows users to recognize specific people, events, and objects in visual media, monitor live television streams, and receive real-time notifications for custom events detected by security cameras. Matroid's solutions find applications across various industries, including construction, manufacturing, security, media, and retail. The company also provides Matroid On-Prem, a deployment solution that facilitates the monitoring of live streams and the searching of recorded video, enhancing the ability to respond to significant events as they occur.

ProteanTecs Ltd. is a software company that specializes in a cloud-based platform designed to enhance the performance and reliability of electronic systems. Founded in 2017 and headquartered in Haifa, Israel, with additional offices in Tel Aviv, Santa Clara, and Bridgewater, the company utilizes data generated by chip-embedded agents and machine learning to predict faults before they lead to failures. Its solutions deliver valuable insights across the entire value chain, benefiting chip vendors, system vendors, and digital service providers. ProteanTecs offers various capabilities, including predictive maintenance, yield improvement, and performance tuning, aimed at reducing defect parts per million (DPPM) and enhancing overall electronic performance and quality.

Verta Inc. is a software infrastructure company founded in 2018 and based in Palo Alto, California, specializing in the management and deployment of data science and machine learning (ML) models. The Verta Model Delivery & Operations Platform allows users to package and deliver any ML model quickly, utilizing best practices in DevOps for continuous integration, delivery, operations, and monitoring. This technology streamlines workflows for enterprise data science teams, facilitating faster deployment of models into production while ensuring real-time monitoring of model performance and health. Verta's solutions enable data scientists to manage the entire lifecycle of their models, enhancing collaboration and operational efficiency.

Common Sense Machines develops an artificial intelligence-based platform that translates photos and videos into 3D simulations. The company aims to harness the adaptability of human-like learning combined with the efficiency of machine processing to enable one-shot 3D perception and manipulation of everyday objects. This technology allows users to quickly and effectively create game-engine-ready assets, streamlining their creative processes and enhancing productivity in various applications.

Anodot Ltd. is a provider of a SaaS-based automated business analytics and anomaly detection platform that specializes in identifying and analyzing data anomalies in real-time. Founded in 2014 and headquartered in Ra'anana, Israel, with additional offices in London and Sydney, Anodot’s platform utilizes advanced machine learning algorithms to continuously monitor a wide range of business parameters, allowing for the swift detection of outliers and the generation of actionable insights. This capability enables data-centric companies across various industries, including eCommerce, fintech, and ad tech, to make informed decisions quickly, thereby reducing operational costs and enhancing customer experiences. Anodot's solutions are offered through a network of global resellers, and the company has established strategic collaborations to further enhance its service offerings.

SambaNova Systems, based in Palo Alto, California, develops a technology platform that integrates hardware and software solutions for artificial intelligence and machine learning applications. Founded in 2017, the company focuses on creating systems optimized for data processing, model training, and analytics, enabling high-performance execution of machine learning tasks. SambaNova's technology is designed to be flexible and scalable, catering to various sectors such as healthcare, finance, and autonomous vehicles. By enhancing the efficiency of AI-powered algorithms, SambaNova aims to support organizations in leveraging advanced data analytics effectively.

FogHorn is a developer of edge intelligence software that focuses on industrial and commercial Internet of Things (IoT) applications. Its platform enhances on-premises edge environments with advanced analytics and machine learning capabilities, facilitating applications for monitoring, diagnostics, machine performance optimization, and proactive maintenance. The software is designed for a variety of sectors, including manufacturing, energy, healthcare, and transportation, and is compatible with major IoT platforms in public cloud environments, such as AWS and Azure. This integration enables organizations to leverage real-time, industrial-grade analytics for informed decision-making, ultimately driving operational efficiency and profitability.

Anyscale, Inc. is a technology company based in Berkeley, California, founded by the creators of the open-source project Ray. It specializes in developing distributed programming platforms and tools that simplify the creation and scaling of artificial intelligence applications. Anyscale's software enables developers and machine learning engineers to effortlessly scale their applications from local environments to the cloud, eliminating the need for complex infrastructure. The company's framework allows users of varying skill levels to build and deploy compute-intensive applications efficiently, facilitating faster and more cost-effective market entry for AI products. Anyscale aims to enhance the end-to-end AI lifecycle, making it accessible for organizations to leverage AI technologies.

Prophesee SA, founded in 2014 and based in Paris, France, specializes in advanced machine vision sensors and systems through its innovative neuromorphic vision technology. Originally known as Chronocam SAS, the company rebranded in 2018 to reflect its pioneering approach to computer vision, which mimics the human eye and brain by detecting essential motion information rather than capturing a series of images. This unique Metavision® method enables Prophesee to achieve exceptional performance metrics, including high-speed time resolution, dynamic range, and significant reductions in data volume and power consumption. Its technology caters to a diverse range of industries, including biomedical, gaming, industrial automation, mobile devices, robotics, security, and automotive applications. Prophesee's team of over 100 engineers holds more than 50 international patents and has established a global presence with offices in cities such as Grenoble, Shanghai, Tokyo, and Silicon Valley, supported by a network of prominent investors.

Healx, established in 2014 and headquartered in Cambridge, UK, is a biotechnology company specializing in rare disease treatments. It employs artificial intelligence and machine learning to identify and repurpose existing drugs for new therapeutic uses, aiming to accelerate drug discovery and reduce development risks. By integrating AI, deep pharmacology expertise, and patient engagement, Healx matches treatments to disease patients, addressing unmet needs in rare diseases.

DataRobot, Inc. is a Boston-based company that specializes in developing an automated machine learning platform aimed at empowering enterprises to construct predictive models efficiently. Its offerings include DataRobot Cloud, a cloud-based platform for predictive analytics, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. Additionally, DataRobot Enterprise provides features tailored for large organizations, such as flexible deployment options, governance, and comprehensive support. The company's solutions cater to a diverse clientele, including business analysts, data scientists, executives, and IT professionals across various sectors such as banking, healthcare, and manufacturing. Founded in 2012, DataRobot has expanded its operations internationally, with locations in London, Paris, Kyiv, Tokyo, and Singapore, and maintains a strategic partnership with Snowflake to enhance its offerings.

Mech-Mind Robotics Technologies, founded in 2016 and based in Beijing, China, specializes in manufacturing smart cameras and developing AI-powered software for the logistics industry. The company produces a range of cameras, including the Mech-Eye Smart Camera, designed for tasks such as object recognition, depalletizing, assembly, sorting, and locating. Mech-Mind's technology integrates 3D vision with artificial intelligence, enabling robots to recognize objects of various shapes and sizes. With over 10,000 cameras deployed across more than 50 countries, Mech-Mind Robotics supports partners and system integrators in addressing complex automation challenges, including logistics parcel picking and related operations. The company also maintains an office in Munich, Germany, and a sales office in Shanghai, China.

Kyndi, Inc. specializes in developing an explainable artificial intelligence (XAI) platform that serves government, financial services, and healthcare sectors. The company's Kyndi AI Platform employs machine learning to facilitate business regulation and provides auditable AI systems tailored for enterprises and government entities. Kyndi's solutions enhance strategy, planning, compliance, and research operations. Additionally, the platform features a Natural Language Search capability that enables organizations to swiftly and accurately extract answers from unstructured, text-based data. Founded in 2014, Kyndi is headquartered in San Mateo, California, with an additional office in Washington, D.C. Its technology aims to boost the productivity of knowledge workers by enabling more efficient information gathering and analysis, allowing clients to make informed decisions and seize opportunities effectively.

NeuroBlade, founded in 2017 and headquartered in Hod-Hasharon, Israel, specializes in the development and manufacturing of artificial intelligence chips designed for the inference phase in both data centers and end-devices. The company's innovative products aim to eliminate memory bottlenecks and support various AI topologies, thereby enhancing analytical query performance. NeuroBlade's proprietary computational memory technology combines extensive expertise in hardware, software, and algorithms to address the growing demand for efficient data analytics infrastructure. By focusing on reducing costs and power consumption, the company aims to facilitate faster insights for businesses navigating digital transformation. NeuroBlade also has operational presence in Taipei, Taiwan, and Palo Alto, California.

BabbleLabs, Inc. specializes in developing speech enhancement and noise removal software aimed at improving communication in critical environments. The company's offerings include Clear Cloud, an API-based technology that eliminates unwanted noise from voice-sensitive projects; Clear Edge, a low-latency embedded solution for smart devices; Clear Command, which facilitates voice control and command recognition; and Clear Analytics, designed to extract actionable insights from speech streams. BabbleLabs addresses a variety of applications, including smartphones, business conferencing, customer service, automotive, and public safety. Founded in 2017 and headquartered in Campbell, California, BabbleLabs leverages advancements in speech science, deep learning, and computational processing to enhance speech quality and intelligibility, thereby fostering better interactions between humans and machines.

Landing AI is a company that specializes in artificial intelligence transformation programs tailored for the manufacturing industry. Founded in 2017 and based in Palo Alto, California, the company develops solutions focused on visual inspection, automation, calibration, and automated issue identification. Its offerings cater to a diverse range of sectors, including manufacturing, retail, automotive, agriculture, telecommunications, and pharmaceuticals. The company aims to empower organizations to become AI-driven by providing a platform that enhances the accuracy of machine learning models through effective data generation and labeling. This platform helps identify environmental issues and alerts users to model changes, thereby facilitating efficient data management and accelerating troubleshooting processes. Founded by Dr. Andrew Ng, a prominent figure in AI, Landing AI is positioned to deliver practical AI solutions that drive value for businesses globally.

SambaNova Systems, based in Palo Alto, California, develops a technology platform that integrates hardware and software solutions for artificial intelligence and machine learning applications. Founded in 2017, the company focuses on creating systems optimized for data processing, model training, and analytics, enabling high-performance execution of machine learning tasks. SambaNova's technology is designed to be flexible and scalable, catering to various sectors such as healthcare, finance, and autonomous vehicles. By enhancing the efficiency of AI-powered algorithms, SambaNova aims to support organizations in leveraging advanced data analytics effectively.

ProteanTecs Ltd. is a software company that specializes in a cloud-based platform designed to enhance the performance and reliability of electronic systems. Founded in 2017 and headquartered in Haifa, Israel, with additional offices in Tel Aviv, Santa Clara, and Bridgewater, the company utilizes data generated by chip-embedded agents and machine learning to predict faults before they lead to failures. Its solutions deliver valuable insights across the entire value chain, benefiting chip vendors, system vendors, and digital service providers. ProteanTecs offers various capabilities, including predictive maintenance, yield improvement, and performance tuning, aimed at reducing defect parts per million (DPPM) and enhancing overall electronic performance and quality.

Proprio, Inc. is a Seattle-based company that develops advanced surgical technology aimed at enhancing surgical accuracy, simplifying workflows, and improving patient outcomes. Founded in 2016, Proprio utilizes machine learning, artificial intelligence, and mixed-reality user interfaces to create a next-generation surgical navigation and imaging platform. This innovative system replaces traditional surgical microscopes, loupes, and navigation systems by offering networked camera arrays and depth-sensing technology, allowing users to navigate live 3D environments with depth perception from any angle. Proprio's goal extends beyond merely replacing existing technologies; it seeks to advance medicine by integrating the latest digital innovations, moving away from outdated practices and focusing on software and data to improve surgical practices and outcomes.

Aerial Technologies Inc. is a Montreal-based company that specializes in cloud-based motion analytics solutions utilizing artificial intelligence and existing wireless infrastructure. Founded in 2015, Aerial has developed the Motion Capture Plug, a WiFi Motion device that analyzes distortions in wireless signals to provide insights into motion activity in various environments such as homes, workplaces, hospitals, and hotels. This technology allows for monitoring without the use of cameras, wearables, or sensors, making it a cost-effective solution for detecting human presence and activities. Aerial serves a diverse clientele, including internet service providers, healthcare organizations, security systems integrators, and smart object manufacturers across the globe, with regional offices in the United States and Spain.

Syntiant specializes in developing neuromorphic semiconductors that bring artificial intelligence and machine learning capabilities directly to edge devices, reducing reliance on cloud-based processing. The company's advanced chip solutions combine deep learning with semiconductor design to create ultra-low-power, high-performance processors for deep neural networks. These processors are ideal for always-on applications in battery-powered devices such as smartphones, smart speakers, earbuds, hearing aids, and laptops, enabling the development of AI technology for sensor, voice, and video applications across a wide range of products.

DataRobot, Inc. is a Boston-based company that specializes in developing an automated machine learning platform aimed at empowering enterprises to construct predictive models efficiently. Its offerings include DataRobot Cloud, a cloud-based platform for predictive analytics, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. Additionally, DataRobot Enterprise provides features tailored for large organizations, such as flexible deployment options, governance, and comprehensive support. The company's solutions cater to a diverse clientele, including business analysts, data scientists, executives, and IT professionals across various sectors such as banking, healthcare, and manufacturing. Founded in 2012, DataRobot has expanded its operations internationally, with locations in London, Paris, Kyiv, Tokyo, and Singapore, and maintains a strategic partnership with Snowflake to enhance its offerings.

IFDAQ, or International Fashion Digital Automated Quantification, is an advanced AI system that delivers quantitative market values across the fashion and luxury sectors. By creating a high-dimensional virtual representation of the fashion industry, IFDAQ analyzes and measures effective market values based on relative performance. Its comprehensive analytics provide insights into various elements of the fashion landscape, including fashion groups, brand campaigns, models, and even individual catwalk runs or image fragments. Established initially as a research project in 2008, IFDAQ transitioned into a startup in 2016, focusing on developing artificial intelligence solutions to enhance analytics and research in the fashion industry.

Vertex.AI is a Seattle-based company that develops a platform for visual intelligence and deep learning capabilities applicable to a range of devices, from low-power mobile processors to full-size GPUs. Founded in 2015, Vertex.AI offers two main products: Vertex Vision, which enables real-time detection, classification, tracking, and identification of objects and visual elements, and Vertex Vantage, a software platform that enhances the deep learning capabilities of various hardware. The company's open-source software framework leverages advanced deep neural networks, ensuring compatibility with existing open-source tools. Originally known as 1026 Labs, Inc., Vertex.AI operates as a subsidiary of Movidius, Inc. since 2018.

Lumiata Inc. specializes in predictive health analytics tailored for risk-bearing organizations, including hospital networks and insurance carriers. Founded in 2013 and based in San Mateo, California, the company has developed a medical graph that organizes and analyzes diverse healthcare data, enabling real-time predictive analytics. Its flagship product, The Lumiata Risk Matrix, provides personalized predictions regarding individual health changes, supported by a chain of medical reasoning. By leveraging over 120 million patient records and proprietary clinical knowledge, Lumiata's machine learning tools empower healthcare providers and payers to enhance decision-making, manage costs, and improve patient care. The company serves a range of clients, including payers, population health organizations, and digital health companies, facilitating applications in underwriting and care management while prioritizing member privacy.

Syntiant specializes in developing neuromorphic semiconductors that bring artificial intelligence and machine learning capabilities directly to edge devices, reducing reliance on cloud-based processing. The company's advanced chip solutions combine deep learning with semiconductor design to create ultra-low-power, high-performance processors for deep neural networks. These processors are ideal for always-on applications in battery-powered devices such as smartphones, smart speakers, earbuds, hearing aids, and laptops, enabling the development of AI technology for sensor, voice, and video applications across a wide range of products.

Reconova Technologies Co., Ltd., established in 2012 and headquartered in Xiamen, China, specializes in designing and developing image analysis products and services. It offers a suite of AI-driven solutions, including FacePass, a customer flow management platform utilizing face recognition for various applications like user management, attendance tracking, and access control. Additionally, Reconova provides DJ Cloud Platform for retail and mall data collection and analysis, and Recadas for commercial vehicle management. The company also manufactures security hardware products such as facial recognition panels and body temperature detection devices. With a strong focus on computer vision and machine learning technologies, Reconova has strategic partnerships with prominent companies like Alibaba, JD, Midea, and Xiaomi, serving industries such as smart retail, smart home, and intelligent security.

Gamalon, Inc. specializes in statistical machine learning solutions, focusing on Bayesian probabilistic programming languages. Founded in 2013 and based in Boston, Massachusetts, the company has developed an AI-driven machine intelligence technology that automates the writing and rewriting of its own Bayesian programs. This innovation allows businesses to convert unstructured text into structured data efficiently, enabling e-commerce and manufacturing sectors to train their systems with minimal data while achieving accuracy comparable to extensively trained neural networks. Additionally, Gamalon offers a conversational machine intelligence platform that interprets and summarizes customer messages, facilitating data-driven decision-making and enhancing customer experience.

Avaamo is a deep-learning software company based in Los Altos, California, founded in 2014. It specializes in developing a conversational artificial intelligence platform that automates customer service and enhances employee experiences. The platform integrates machine learning, conversation design, and legacy enterprise workflows to streamline the deployment of enterprise bots and virtual assistants. Avaamo's mobile application consolidates communications into one secure interface and is available on both Android and iOS platforms. The company has established a strategic partnership with Tech Mahindra to further its technological advancements in conversational computing.

LegUp Computing Inc. is a Toronto-based company that develops a cloud platform enabling software developers to program, deploy, scale, and manage field-programmable gate array (FPGA) devices. Founded in 2015 by a team including Dr. Andrew Canis and Professor Jason Anderson, the platform originated from research at the University of Toronto and focuses on providing a novel programming model for threaded C/C++ software. This model allows for efficient processing of low-latency database, real-time analytics, and machine learning workloads by leveraging FPGA devices connected to high-bandwidth networks. LegUp Computing aims to facilitate the acceleration of high-performance applications, thereby enhancing the capabilities of developers working with cloud-based and embedded compute systems. The company operates as a subsidiary of Microchip Technology Incorporated.

Prophesee SA, founded in 2014 and based in Paris, France, specializes in advanced machine vision sensors and systems through its innovative neuromorphic vision technology. Originally known as Chronocam SAS, the company rebranded in 2018 to reflect its pioneering approach to computer vision, which mimics the human eye and brain by detecting essential motion information rather than capturing a series of images. This unique Metavision® method enables Prophesee to achieve exceptional performance metrics, including high-speed time resolution, dynamic range, and significant reductions in data volume and power consumption. Its technology caters to a diverse range of industries, including biomedical, gaming, industrial automation, mobile devices, robotics, security, and automotive applications. Prophesee's team of over 100 engineers holds more than 50 international patents and has established a global presence with offices in cities such as Grenoble, Shanghai, Tokyo, and Silicon Valley, supported by a network of prominent investors.

True Fit Corporation operates a footwear and apparel personalization platform that leverages a vast database of fit and style data to enhance the online shopping experience. Founded in 2005 and based in Woburn, Massachusetts, the company offers services designed to help consumers, brands, and retailers navigate the $1 trillion footwear and apparel market. Its Genome compiles extensive, attribute-rich data to enable retailers to provide personalized fit ratings and size recommendations through its Confidence Engine, significantly boosting revenue. Additionally, True Fit's Discovery Engine allows retailers to curate tailored collections for individual consumers, while the True Insight platform delivers valuable insights for optimizing marketing and product development. The company, previously known as True Apparel Company, has formed strategic partnerships, including one with Bamboo Rose, and is supported by a team of seasoned professionals from the fashion, retail, and technology sectors.

Rubikloud Technologies Inc., established in 2013 and headquartered in Toronto, Canada, specializes in developing and operating cloud-based enterprise data platforms powered by artificial intelligence (AI). The company caters to global retailers and consumer packaged goods (CPG) industries, offering solutions such as Retail AI for promotion effectiveness, forecasting, and optimization, and CPG AI for demand forecasting and trade promotion optimization. Rubikloud's flagship products include RubiCore, a big data platform for processing disparate data sources, RubiView for automated market and business intelligence reports, and RubiOne for personalized campaign management. The company operates globally with sales offices in the USA, the UK, and Hong Kong, serving multi-billion dollar clients. As of 2020, Rubikloud operates as a subsidiary of Kinaxis Inc.

Lumiata Inc. specializes in predictive health analytics tailored for risk-bearing organizations, including hospital networks and insurance carriers. Founded in 2013 and based in San Mateo, California, the company has developed a medical graph that organizes and analyzes diverse healthcare data, enabling real-time predictive analytics. Its flagship product, The Lumiata Risk Matrix, provides personalized predictions regarding individual health changes, supported by a chain of medical reasoning. By leveraging over 120 million patient records and proprietary clinical knowledge, Lumiata's machine learning tools empower healthcare providers and payers to enhance decision-making, manage costs, and improve patient care. The company serves a range of clients, including payers, population health organizations, and digital health companies, facilitating applications in underwriting and care management while prioritizing member privacy.

Mcity is an autonomous vehicle research center located on the University of Michigan campus in Ann Arbor, Michigan. It serves as a unique urban test facility that facilitates collaboration among industry, government, and academia to enhance transportation safety, sustainability, and accessibility. Mcity combines early-stage research with real-world testing and on-road vehicle deployments to validate and advance new technologies in the mobility sector. The center is staffed by renowned researchers and aims to contribute to the development of safer and more efficient transportation systems for the benefit of society.

Bigstream Solutions, Inc., established in 2015 and headquartered in Mountain View, California, specializes in hyper-acceleration solutions for big data platforms. Its core offering is a run-time system that optimizes dataflow-level transformations, distributing workloads across different CPU cores and/or accelerator resources. This enables real-time analysis, enhancing predictive capabilities, fraud detection, and risk management for enterprises. Additionally, it empowers healthcare providers to transform patient data for personalized care and detect network anomalies. Notably, Bigstream's technology delivers significant performance gains without requiring application code changes or special APIs.

FogHorn is a developer of edge intelligence software that focuses on industrial and commercial Internet of Things (IoT) applications. Its platform enhances on-premises edge environments with advanced analytics and machine learning capabilities, facilitating applications for monitoring, diagnostics, machine performance optimization, and proactive maintenance. The software is designed for a variety of sectors, including manufacturing, energy, healthcare, and transportation, and is compatible with major IoT platforms in public cloud environments, such as AWS and Azure. This integration enables organizations to leverage real-time, industrial-grade analytics for informed decision-making, ultimately driving operational efficiency and profitability.

MinIO, Inc. is a developer of a high-performance, open-source object storage server that is compatible with Amazon S3 APIs. Founded in 2014 and based in Palo Alto, California, the company specializes in providing a Kubernetes-native object store optimized for cloud-native workloads. MinIO's platform is designed to support the growing demands of unstructured data, allowing enterprises to manage various workloads such as machine learning, analytics, and data backup from a single solution. It enables application developers to create their own cloud storage systems for diverse data types, including images, videos, and log files, while ensuring portability across both public and private cloud environments. Additionally, MinIO offers a public play server that allows developers and system administrators to familiarize themselves with S3-compatible object storage.

Panoply Ltd. offers a cloud-based data analytics platform designed to simplify and automate data management tasks. Its product, Panoply.io, provides an end-to-end solution that streamlines processes from data sourcing to analysis, significantly enhancing the efficiency of analysts and data scientists. The platform automates critical functions such as data modeling, normalization, and cleanup, while also managing infrastructure setup, server launching, scaling, and backup. Additionally, it supports real-time data transformations, flexible schemas, and advanced data privacy and security measures. By leveraging machine learning and natural language processing, Panoply.io reduces the complexity associated with data preparation and infrastructure management, allowing users to focus on analysis rather than technical details. Founded in 2015, Panoply is headquartered in Tel Aviv, Israel, with an additional office in San Francisco, California.

Matroid, Inc. is a computer vision company based in Palo Alto, California, founded in 2016. It offers an intuitive platform that enables users to create and deploy custom computer vision detectors without the need for programming. The platform allows users to recognize specific people, events, and objects in visual media, monitor live television streams, and receive real-time notifications for custom events detected by security cameras. Matroid's solutions find applications across various industries, including construction, manufacturing, security, media, and retail. The company also provides Matroid On-Prem, a deployment solution that facilitates the monitoring of live streams and the searching of recorded video, enhancing the ability to respond to significant events as they occur.

Element AI Inc. is an artificial intelligence company based in Montreal, Canada, with an additional office in Toronto. Founded in 2016, Element AI specializes in providing AI solutions that help organizations identify opportunities for artificial intelligence and machine learning integration. The company operates an AI as a Service (AIaaS) platform, enabling businesses to launch and develop AI solutions in collaboration with large corporations. Its offerings span various industries, including insurance, banking, manufacturing, logistics, retail, and consumer packaged goods. Element AI emphasizes the operationalization of AI by delivering software products that enhance decision-making and improve business agility. The company also conducts research and development to advance AI technology and maintains partnerships with academic institutions to foster innovation. Through its systems integrator approach, Element AI assists organizations in implementing and commercializing AI solutions tailored to their specific needs.

CognitiveScale, Inc. specializes in developing augmented intelligence software tailored for financial services, healthcare, and digital commerce sectors. Utilizing its Cortex platform, the company enables enterprises to integrate artificial intelligence and blockchain technology into their operations. Key offerings include Cortex 5, which facilitates the design and management of enterprise-grade AI systems, the AI marketplace for collaborative problem-solving, and Cortex Certifai, which helps identify and manage risks in automated decision-making. Additionally, CognitiveScale provides AI lifecycle management tools and systems such as ENGAGE for enhanced customer engagement and AMPLIFY for intelligent process automation. The company has formed strategic partnerships with prominent firms such as IBM, Microsoft, and Deloitte, serving Global 500 clients worldwide. Founded in 2013 and headquartered in Austin, Texas, with additional offices in New York, London, and Hyderabad, CognitiveScale is recognized for its contributions to responsible AI and is backed by notable investors, including Norwest Venture Partners and Intel Capital.

Falcon Computing, founded in 2014 by Dr. Jason Cong, specializes in providing technology solutions for data scientists and software developers in sectors such as Genomics, Machine Learning, Finance, and Computer Vision. The company focuses on simplifying the adoption of heterogeneous accelerated computing through automated compilation tools and runtime management solutions. Its innovative platform allows users to convert C/C++ code into optimized FPGA implementations, enhancing performance, energy efficiency, and productivity. Headquartered in Santa Clara, California, with additional offices in Los Angeles and Beijing, Falcon Computing aims to support companies in integrating advanced acceleration technologies into their data center infrastructures, ultimately making cloud computing more energy-efficient.

Mobileye is a leader in the development and deployment of advanced driver-assistance systems (ADAS) and autonomous driving technologies. The company specializes in creating a comprehensive portfolio of solutions that include both software and hardware components, designed to enhance vehicle safety and pave the way for future autonomous driving capabilities. Its offerings range from driver assistance tools to fully autonomous systems, such as Mobileye Chauffeur and Mobileye Drive. In addition to its core technologies, Mobileye provides data services aimed at optimizing maintenance operations and improving mobility infrastructure. With a strong foundation in computer vision, machine learning, mapping, and data analysis, Mobileye plays a pivotal role in shaping the future of transportation.

Fortscale Security, Inc., founded in 2012 and based in San Francisco, California, specializes in developing security software focused on user and entity behavior analytics (UEBA). The company offers an innovative platform designed to detect malicious user behavior and insider threats by utilizing machine learning to analyze user actions in real-time. Fortscale's system automates the delivery and application of behavioral analytics, embedding it within existing security infrastructure to enhance decision-making and identify high-risk activities swiftly. By processing data collected from security devices, Fortscale's technology provides organizations with critical visibility and insights necessary to uncover sophisticated attacks and improve overall security effectiveness. The company is backed by several investors, including Intel Capital and Blumberg Capital.

Mighty AI, Inc. operates a Training Data as a Service platform that assists businesses in acquiring the datasets necessary to train and enhance their computer vision and natural language models. The company's platform features a global community of individuals who perform micro tasks, such as labeling objects in images and conducting sentiment analysis on text. By leveraging its proprietary machine learning technology and a comprehensive suite of annotation software, Mighty AI ensures high accuracy and scalability in the data it provides. Founded in 2014 and headquartered in Seattle, Washington, with an additional office in Detroit, Michigan, Mighty AI serves customers worldwide and specializes in delivering training data for companies developing computer vision models, particularly for autonomous vehicles. The company was previously known as Spare5 Inc. and became a subsidiary of Uber Technologies, Inc. in 2019.

Prophesee SA, founded in 2014 and based in Paris, France, specializes in advanced machine vision sensors and systems through its innovative neuromorphic vision technology. Originally known as Chronocam SAS, the company rebranded in 2018 to reflect its pioneering approach to computer vision, which mimics the human eye and brain by detecting essential motion information rather than capturing a series of images. This unique Metavision® method enables Prophesee to achieve exceptional performance metrics, including high-speed time resolution, dynamic range, and significant reductions in data volume and power consumption. Its technology caters to a diverse range of industries, including biomedical, gaming, industrial automation, mobile devices, robotics, security, and automotive applications. Prophesee's team of over 100 engineers holds more than 50 international patents and has established a global presence with offices in cities such as Grenoble, Shanghai, Tokyo, and Silicon Valley, supported by a network of prominent investors.

CognitiveScale, Inc. specializes in developing augmented intelligence software tailored for financial services, healthcare, and digital commerce sectors. Utilizing its Cortex platform, the company enables enterprises to integrate artificial intelligence and blockchain technology into their operations. Key offerings include Cortex 5, which facilitates the design and management of enterprise-grade AI systems, the AI marketplace for collaborative problem-solving, and Cortex Certifai, which helps identify and manage risks in automated decision-making. Additionally, CognitiveScale provides AI lifecycle management tools and systems such as ENGAGE for enhanced customer engagement and AMPLIFY for intelligent process automation. The company has formed strategic partnerships with prominent firms such as IBM, Microsoft, and Deloitte, serving Global 500 clients worldwide. Founded in 2013 and headquartered in Austin, Texas, with additional offices in New York, London, and Hyderabad, CognitiveScale is recognized for its contributions to responsible AI and is backed by notable investors, including Norwest Venture Partners and Intel Capital.

Nervana is a technology company founded in 2014 and headquartered in San Diego, California. It specializes in machine learning and artificial intelligence, offering a software-as-a-service platform that enables businesses to develop custom deep learning applications. The company's flagship product, Nervana Cloud, provides a comprehensive software solution that utilizes deep learning techniques to facilitate the creation of intelligent applications. Founded by experts in various fields, including machine learning, neuroscience, and chip design, Nervana aims to simplify and scale the use of brain-inspired algorithms in technology development.

Panoply Ltd. offers a cloud-based data analytics platform designed to simplify and automate data management tasks. Its product, Panoply.io, provides an end-to-end solution that streamlines processes from data sourcing to analysis, significantly enhancing the efficiency of analysts and data scientists. The platform automates critical functions such as data modeling, normalization, and cleanup, while also managing infrastructure setup, server launching, scaling, and backup. Additionally, it supports real-time data transformations, flexible schemas, and advanced data privacy and security measures. By leveraging machine learning and natural language processing, Panoply.io reduces the complexity associated with data preparation and infrastructure management, allowing users to focus on analysis rather than technical details. Founded in 2015, Panoply is headquartered in Tel Aviv, Israel, with an additional office in San Francisco, California.

True Fit Corporation operates a footwear and apparel personalization platform that leverages a vast database of fit and style data to enhance the online shopping experience. Founded in 2005 and based in Woburn, Massachusetts, the company offers services designed to help consumers, brands, and retailers navigate the $1 trillion footwear and apparel market. Its Genome compiles extensive, attribute-rich data to enable retailers to provide personalized fit ratings and size recommendations through its Confidence Engine, significantly boosting revenue. Additionally, True Fit's Discovery Engine allows retailers to curate tailored collections for individual consumers, while the True Insight platform delivers valuable insights for optimizing marketing and product development. The company, previously known as True Apparel Company, has formed strategic partnerships, including one with Bamboo Rose, and is supported by a team of seasoned professionals from the fashion, retail, and technology sectors.

Lumiata Inc. specializes in predictive health analytics tailored for risk-bearing organizations, including hospital networks and insurance carriers. Founded in 2013 and based in San Mateo, California, the company has developed a medical graph that organizes and analyzes diverse healthcare data, enabling real-time predictive analytics. Its flagship product, The Lumiata Risk Matrix, provides personalized predictions regarding individual health changes, supported by a chain of medical reasoning. By leveraging over 120 million patient records and proprietary clinical knowledge, Lumiata's machine learning tools empower healthcare providers and payers to enhance decision-making, manage costs, and improve patient care. The company serves a range of clients, including payers, population health organizations, and digital health companies, facilitating applications in underwriting and care management while prioritizing member privacy.

Itseez, Inc. specializes in computer vision software solutions and consulting services. The company is known for its Open Source Computer Vision Library (OpenCV), which provides a wide range of computer vision and machine learning algorithms for tasks such as face detection, object recognition, and video analysis. Itseez also develops Advanced Driver Assistance System algorithms for the automotive industry, including features like traffic sign recognition and pedestrian detection. Additional offerings include Facense, a technology for face analysis, and itSeez3D, a mobile 3D scanning application. The company provides custom algorithm development in various areas, including deep learning, gesture recognition, and augmented reality. Itseez serves multiple markets, including automotive, security, and consumer applications. Founded in 2005 in San Francisco, Itseez originally operated as Computer Vision Center Argus Ltd. and has since become a subsidiary of Intel Corporation.

WhoKnows is a business specializing in an omni-channel lead generation platform powered by AI, tailored specifically for startups. The company offers a unique blend of extensive data—over 370 million AI-enriched profiles—and various lead generation services, including email marketing, paid ads, SEO, and telemarketing. This combination enables startups to quickly experiment with different growth strategies and scale their operations effectively. Notably, after an initial discovery phase, WhoKnows operates on a performance-based pricing model, ensuring that clients only pay for the leads generated, thereby fixing acquisition costs.

Reflektion, Inc. is a technology company that specializes in developing an artificial intelligence-driven customer engagement platform aimed at enhancing e-commerce experiences. Founded in 2012 and headquartered in San Mateo, California, Reflektion's platform utilizes AI to analyze individual shopper behaviors, preferences, and intent, allowing businesses to deliver personalized content and product recommendations in real-time across various digital channels. The company offers solutions such as personalized site search, predictive product recommendations, and tailored email marketing. By integrating these features, Reflektion helps retailers optimize customer engagement and create relevant shopping experiences. The company also provides analytic tools, including a personalization dashboard and customer insights, enabling businesses to track performance and improve their marketing strategies. Reflektion has established strategic alliances and partnerships with other technology firms to enhance its offerings.

DataRobot, Inc. is a Boston-based company that specializes in developing an automated machine learning platform aimed at empowering enterprises to construct predictive models efficiently. Its offerings include DataRobot Cloud, a cloud-based platform for predictive analytics, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. Additionally, DataRobot Enterprise provides features tailored for large organizations, such as flexible deployment options, governance, and comprehensive support. The company's solutions cater to a diverse clientele, including business analysts, data scientists, executives, and IT professionals across various sectors such as banking, healthcare, and manufacturing. Founded in 2012, DataRobot has expanded its operations internationally, with locations in London, Paris, Kyiv, Tokyo, and Singapore, and maintains a strategic partnership with Snowflake to enhance its offerings.

ParallelM, Inc. is a company based in Santa Clara, California, specializing in machine learning operations (MLOps). It provides a software platform called MCenter that enables organizations to automate the deployment, scaling, and management of machine learning services in production environments. By facilitating the operationalization of machine learning, ParallelM helps businesses run multiple pipelines effectively while offering tools for real-time monitoring and identifying inaccuracies in predictions through machine learning health indicators. As a dedicated MLOps provider, ParallelM focuses on ensuring that enterprises can manage and govern their machine learning initiatives across various platforms and cloud or on-premise settings. As of June 2019, ParallelM operates as a subsidiary of DataRobot, Inc.

Body Labs, Inc. specializes in collecting and digitizing data related to human body shape, pose, and motion. The company aims to create a digital platform for designing, producing, and customizing goods and services based on individual body metrics. Its primary offerings include Body Labs Blue, which utilizes artificial intelligence and machine learning to generate additional body measurements for personalized clothing recommendations, and Body Labs Red, designed to process scan data into 3D digital body models. Additionally, Body Labs provides various professional services, such as scan processing, virtual fit modeling, sizing studies, and product development. Founded in 2013 and based in New York, Body Labs operates under the umbrella of Amazon.com, Inc. since 2017.

BlueData offers a cloud-based software platform that enhances the deployment of AI, machine learning, data science, and big data analytics solutions for enterprises. By utilizing container technology, particularly Docker, BlueData enables faster and more cost-effective access to essential applications such as Spark, Kafka, TensorFlow, and Hadoop. The platform is designed to streamline the deployment process, allowing organizations to achieve quicker time-to-value while reducing overall costs. BlueData's innovations empower businesses to access analytics and machine learning capabilities on-demand, facilitating efficient management of their big data infrastructure.

Dialogflow is a conversational user experience platform that facilitates natural language interactions for various devices, applications, and services. It offers developers tools for speech recognition, natural language processing, and conversation management, allowing businesses to enhance customer satisfaction and streamline processes. By utilizing pre-built knowledge packages derived from extensive user queries, Dialogflow enables agents to comprehend a wide range of requests immediately, eliminating the need for extensive coding. This technology supports effective human-computer interaction, helping users communicate seamlessly with mobile devices and tablets.

Got It, Inc. is a technology company based in Burlingame, California, founded in 2011. It operates a social marketplace that connects students with tutors for online coaching and tutoring services worldwide. The company has developed an advanced conversational artificial intelligence platform that enhances customer experience management by automating interactions in service desks and contact centers. This platform facilitates rapid deployment and management of virtual agents, allowing organizations to streamline operations and focus on strategic tasks. Got It is recognized for its innovative approach, utilizing natural language processing and AI to deliver customized customer experiences efficiently. The company aims to transform the educational landscape and customer service sectors by providing scalable and secure solutions.

Teraki GmbH, founded in 2014 and based in Berlin, Germany, specializes in software solutions that enhance data management for insurance, predictive maintenance, and autonomous driving applications. The company's platform facilitates access to high-quality data while ensuring low-latency performance, which is crucial for meeting strict service level agreements. Teraki's technology supports various applications, including usage-based insurance, fleet management, and advanced driver assistance systems. By focusing on edge processing and artificial intelligence, Teraki enables clients to build, train, and improve sensor-driven AI models, automating the training process and enhancing accuracy. This innovative approach allows for efficient selection of relevant sensor information on low-power hardware, making previously impossible applications feasible within the automotive sector.

MindMeld, Inc. is a technology company that specializes in developing an advanced AI platform focused on creating intelligent conversational interfaces for applications and devices. Founded in 2011 and headquartered in San Francisco, the company enhances user interaction through voice interfaces and language-understanding capabilities, allowing users to engage with music, video content, weather updates, and connected home devices. MindMeld's platform employs machine learning to facilitate natural interactions with voice and chat assistants, enabling users to efficiently access and navigate information. In December 2015, the company rebranded from its original name, Expect Labs, Inc., and operates as a subsidiary of Cisco Systems, Inc. since May 2017.

Prelert Inc. specializes in predictive analytics software aimed at enhancing IT infrastructure and application performance management. Founded in 2008 and based in Framingham, Massachusetts, the company offers machine intelligence software that identifies and addresses IT performance issues by analyzing large volumes of machine data. This software seamlessly integrates with existing management tools, enabling proactive management through the automatic learning of normal application behavior and alerting clients to potential problems as they arise. Additionally, Prelert provides a Retail Order Analytics solution designed to help online and multichannel retailers detect technical and operational issues to mitigate losses and safeguard revenue. As of September 2016, Prelert operates as a subsidiary of Elasticsearch Global BV.

JetPatch is a centralized patch management platform designed for end-to-end enterprise patch management and vulnerability remediation. Founded in 2017 and based in Boston, Massachusetts, JetPatch aims to ensure that systems remain secure, up-to-date, and operating efficiently through an automated patch management system. The platform leverages existing patch managers and includes the JetPatch Agent Manager, which helps IT and DevOps professionals streamline the deployment, maintenance, and troubleshooting of server tool agents, significantly reducing manual effort. By utilizing machine learning technology to optimize patch rollouts, JetPatch enhances system security and minimizes downtime. Its focus is on maintaining the performance and availability of business-critical applications across diverse infrastructures, including physical, virtual, private, public cloud, and hybrid environments.