Amplify Partners

Achira, a biotechnology company, specializes in accelerating drug discovery by combining artificial intelligence and physics-based simulations. It develops high-fidelity, scalable models for molecular dynamics, generating synthetic data to enhance drug discovery processes. By addressing the scarcity and high cost of drug discovery data, Achira's atomistic foundation simulation models enable clients to identify and develop therapeutic compounds more efficiently.

DatologyAI specializes in AI-driven data curation. It develops deep learning tools to automate dataset creation and improve model training efficiency. Its tools identify optimal data for AI models, suggest dataset augmentation strategies, and optimize batching or splitting processes.

SiMa.ai is a software-centric, embedded edge machine learning system-on-chip company that develops a complete MLSoC platform combining hardware and software to enable high-performance, low-power machine learning inference on embedded edge devices. The platform supports traditional computing with ML inference, delivers push-button deployment and scaling at the edge, and adapts to various frameworks, networks, models, sensors, and modalities. It targets applications from computer vision to generative AI, offering improvements in performance and energy efficiency while enabling easy integration and secure operation for edge deployments.

Lamini is an enterprise AI platform that empowers businesses to safely and efficiently build custom Expert AI models. It optimizes large language model workloads for expert AI on diverse infrastructures, collaborating with partners for hardware optimizations.

MotherDuck is a company that specializes in data infrastructure and analytics, providing a serverless platform designed for both small and large datasets. By integrating the efficiency of DuckDB with cloud capabilities, MotherDuck delivers a user-friendly analytics solution that supports hybrid execution. Its platform utilizes an embedded database to facilitate the analysis of big data, enabling businesses to prototype with both local and remote data seamlessly. This integrated environment allows organizations to effectively analyze their data, enhancing collaboration and maximizing profitability.

PostgresML is an open-source AI application database that embeds machine learning capabilities directly into PostgreSQL. It is a Rust-written extension that adds SQL-based ML operations, enabling developers to build and deploy machine learning models within the database and integrate them into existing workflows. The solution scales workloads through dedicated replicas or serverless GPU-accelerated cloud.

Metaphor is a search and discovery tool designed for data scientists, engineers, and AI practitioners. It helps organizations understand and manage their data by leveraging the power of metadata knowledge graphs.

Covariant is a developer of artificial intelligence for robotics, focused on creating the Covariant Brain, a universal AI system that empowers robots to perceive, reason, and interact with their environment. The company specializes in AI-based robotics and software, facilitating the deployment of robotics across various operations. Covariant's technology employs advanced techniques such as deep imitation learning, deep reinforcement learning, and meta-learning, allowing users to program robots intuitively. By using a virtual reality headset, clients can guide robots through tasks, simplifying the process of integrating robotics into their workflows.

Hex is a software company that provides collaborative data science and analytics. They provide individuals to learn and organizations to know things so they can make better decisions. Hex brings together SQL, Python, R, and no-code in powerful notebooks and allows users to publish projects as interactive data apps that anyone can use with one click.

MotherDuck is a company that specializes in data infrastructure and analytics, providing a serverless platform designed for both small and large datasets. By integrating the efficiency of DuckDB with cloud capabilities, MotherDuck delivers a user-friendly analytics solution that supports hybrid execution. Its platform utilizes an embedded database to facilitate the analysis of big data, enabling businesses to prototype with both local and remote data seamlessly. This integrated environment allows organizations to effectively analyze their data, enhancing collaboration and maximizing profitability.

MotherDuck is a company that specializes in data infrastructure and analytics, providing a serverless platform designed for both small and large datasets. By integrating the efficiency of DuckDB with cloud capabilities, MotherDuck delivers a user-friendly analytics solution that supports hybrid execution. Its platform utilizes an embedded database to facilitate the analysis of big data, enabling businesses to prototype with both local and remote data seamlessly. This integrated environment allows organizations to effectively analyze their data, enhancing collaboration and maximizing profitability.

SiMa.ai is a software-centric, embedded edge machine learning system-on-chip company that develops a complete MLSoC platform combining hardware and software to enable high-performance, low-power machine learning inference on embedded edge devices. The platform supports traditional computing with ML inference, delivers push-button deployment and scaling at the edge, and adapts to various frameworks, networks, models, sensors, and modalities. It targets applications from computer vision to generative AI, offering improvements in performance and energy efficiency while enabling easy integration and secure operation for edge deployments.

Foxglove is a specialized platform designed to facilitate the development of robotics by providing tools for visual debugging and building reliable autonomous systems. The platform features interactive visualizations that enhance the understanding of data through overlays of bounding boxes and classification labels. It supports various data sources, connecting directly to a running Robot Operating System (ROS) environment for real-time inspection and analysis of pre-recorded data. Additionally, Foxglove enables teams to collaborate efficiently by allowing users to share layouts and inspect sensor inputs, including images, point clouds, and time-series data. This comprehensive approach aims to accelerate the robotics development process and improve the reliability of autonomous technologies.

Continual is a developer of an operational artificial intelligence platform designed to enhance predictions related to customer churn and inventory forecasts. The platform connects seamlessly to existing cloud data warehouses, allowing users to leverage their data effectively. By utilizing machine learning technology, Continual operationalizes predictive models, minimizes data leakage, and offers essential operational tools. This enables clients to better manage and utilize their data, ultimately driving revenue, streamlining operations, and fostering innovative products and services without requiring complex engineering solutions.

Hex is a software company that provides collaborative data science and analytics. They provide individuals to learn and organizations to know things so they can make better decisions. Hex brings together SQL, Python, R, and no-code in powerful notebooks and allows users to publish projects as interactive data apps that anyone can use with one click.

Foxglove is a specialized platform designed to facilitate the development of robotics by providing tools for visual debugging and building reliable autonomous systems. The platform features interactive visualizations that enhance the understanding of data through overlays of bounding boxes and classification labels. It supports various data sources, connecting directly to a running Robot Operating System (ROS) environment for real-time inspection and analysis of pre-recorded data. Additionally, Foxglove enables teams to collaborate efficiently by allowing users to share layouts and inspect sensor inputs, including images, point clouds, and time-series data. This comprehensive approach aims to accelerate the robotics development process and improve the reliability of autonomous technologies.

Modal Labs develops machine learning software that enables users to run code in the cloud. Its platform allows for the execution of machine learning models, parallel compute jobs, task queues, web apps, and more. It automates the launch of custom containers and runs scripts faster than on local machines, allowing data science teams to focus on their models without managing infrastructure.

Outerbounds provides human-centric infrastructure for machine learning and data science teams, built around Metaflow, an open-source framework started at Netflix. The platform enables teams to run, orchestrate, and scale compute-intensive ML workloads in the cloud while managing large data volumes and complex applications. By combining open-source tooling with scalable orchestration, Outerbounds supports a wide range of applications—from state-of-the-art computer vision and large language models to business-oriented data science—used by hundreds of organizations across industries.

Continual is a developer of an operational artificial intelligence platform designed to enhance predictions related to customer churn and inventory forecasts. The platform connects seamlessly to existing cloud data warehouses, allowing users to leverage their data effectively. By utilizing machine learning technology, Continual operationalizes predictive models, minimizes data leakage, and offers essential operational tools. This enables clients to better manage and utilize their data, ultimately driving revenue, streamlining operations, and fostering innovative products and services without requiring complex engineering solutions.

Datafold is a software company that automates analytical data quality management. Its platform enables instant table comparisons, data profiling, and automated validation of ETL changes and data transfers. It supports monitoring and QA across data pipelines and integrates with data engineering workflows to streamline data quality processes. The goal is to help organizations extract more value from analytical data by ensuring accuracy, consistency, and reliability of data used for analytics and decision-making. Founded in 2020 and based in San Francisco, California, Datafold provides tools that simplify data QA and automate data engineering tasks.

OctoML provides a SaaS platform for machine learning engineers to automate model optimization using Apache TVM. Its flagship product, Octomizer, enables users to upload models, optimize them for various hardware environments, and benchmark performance. Incorporated in 2019, the company is headquartered in Seattle, Washington.

InterVenn is a life science company focused on revolutionizing healthcare through the study of glycoproteomics, which involves glycosylated proteins that significantly influence protein function. By developing an innovative AI-powered platform, InterVenn decodes the complex glycoproteome, providing critical biological insights that were previously unattainable. This technology enables the identification, quantification, and classification of glycoproteomic signals in human blood and tissue, facilitating early detection and triaging of cancers, particularly ovarian cancer. InterVenn’s platform supports the creation of a diverse range of clinical applications, from disease screening to diagnostics, and has the potential to contribute to therapeutics. Founded by renowned experts, including Nobel Laureate Dr. Carolyn Bertozzi, InterVenn aims to advance personalized, predictive, and preventative healthcare solutions, enhancing patient outcomes and aiding pharmaceutical partners in their research and development efforts.

Covariant is a developer of artificial intelligence for robotics, focused on creating the Covariant Brain, a universal AI system that empowers robots to perceive, reason, and interact with their environment. The company specializes in AI-based robotics and software, facilitating the deployment of robotics across various operations. Covariant's technology employs advanced techniques such as deep imitation learning, deep reinforcement learning, and meta-learning, allowing users to program robots intuitively. By using a virtual reality headset, clients can guide robots through tasks, simplifying the process of integrating robotics into their workflows.

Intellimize, Inc. specializes in website personalization and conversion rate optimization, leveraging machine learning to enhance marketing effectiveness. Founded in 2016 and headquartered in San Mateo, California, the company automates the process of optimizing websites to improve customer acquisition and drive revenue growth. Intellimize's platform personalizes the user experience for each visitor in real-time across both mobile and desktop devices, allowing marketers to deliver tailored content without the complexities of traditional A/B testing or rules-based personalization. This approach enables companies to achieve higher conversion rates and increased revenue with less effort, making Intellimize a preferred choice for leading organizations seeking to optimize their online presence.

Outerbounds provides human-centric infrastructure for machine learning and data science teams, built around Metaflow, an open-source framework started at Netflix. The platform enables teams to run, orchestrate, and scale compute-intensive ML workloads in the cloud while managing large data volumes and complex applications. By combining open-source tooling with scalable orchestration, Outerbounds supports a wide range of applications—from state-of-the-art computer vision and large language models to business-oriented data science—used by hundreds of organizations across industries.

SiMa.ai is a software-centric, embedded edge machine learning system-on-chip company that develops a complete MLSoC platform combining hardware and software to enable high-performance, low-power machine learning inference on embedded edge devices. The platform supports traditional computing with ML inference, delivers push-button deployment and scaling at the edge, and adapts to various frameworks, networks, models, sensors, and modalities. It targets applications from computer vision to generative AI, offering improvements in performance and energy efficiency while enabling easy integration and secure operation for edge deployments.

Meroxa develops a platform for real-time data streaming infrastructure. It automates tasks like change data capture, monitoring, and data loading, enabling developers to build responsive stream-processing applications.

Hex is a software company that provides collaborative data science and analytics. They provide individuals to learn and organizations to know things so they can make better decisions. Hex brings together SQL, Python, R, and no-code in powerful notebooks and allows users to publish projects as interactive data apps that anyone can use with one click.

OctoML provides a SaaS platform for machine learning engineers to automate model optimization using Apache TVM. Its flagship product, Octomizer, enables users to upload models, optimize them for various hardware environments, and benchmark performance. Incorporated in 2019, the company is headquartered in Seattle, Washington.

Metaphor is a search and discovery tool designed for data scientists, engineers, and AI practitioners. It helps organizations understand and manage their data by leveraging the power of metadata knowledge graphs.

Ursa Computing is a developer of data-science tools focused on enhancing productivity and performance in the field of data analytics, machine learning, and artificial intelligence. The company creates enterprise products and services designed to empower data teams by advancing the state of the art in high-performance, cross-language software solutions. Ursa Computing offers open-source developer tools that facilitate essential tasks in the data science lifecycle, including data access, preparation, cleaning, analytics, and feature engineering. By improving the capabilities of open-source software, Ursa Computing aims to support data scientists in their work and streamline the processes involved in data-driven decision-making.

Einblick is a visual data computing platform that enhances organizations' ability to analyze data, forecast outcomes, and make informed decisions. The platform uniquely integrates the computational capabilities of traditional data science notebooks with modern canvas-based collaboration tools, creating a user-friendly graphical environment for building and deploying models. This touch-enabled interface allows data scientists to efficiently construct high-performance models and present them interactively to decision-makers. Einblick's clientele includes prominent organizations such as a major German luxury car brand, DARPA, and a significant internet service provider, highlighting its diverse application across various industries.

Serenade Labs, Inc. is a San Francisco-based company that develops a speech-to-code engine platform aimed at enhancing coding productivity through voice commands. Their cloud-based platform, Serenade Pro, utilizes artificial intelligence to convert spoken language into programming code, allowing developers to write code by speaking in plain English. This innovative application simplifies the coding process by enabling users to express complex ideas without needing to recall intricate syntactic details of various programming languages. In addition to its core product, Serenade Labs offers integration services, application programming interfaces (APIs), and workflow management solutions that further automate voice command processes for programmers. Founded in 2018, the company is focused on making coding more accessible and efficient through its advanced voice coding technology.

InterVenn is a life science company focused on revolutionizing healthcare through the study of glycoproteomics, which involves glycosylated proteins that significantly influence protein function. By developing an innovative AI-powered platform, InterVenn decodes the complex glycoproteome, providing critical biological insights that were previously unattainable. This technology enables the identification, quantification, and classification of glycoproteomic signals in human blood and tissue, facilitating early detection and triaging of cancers, particularly ovarian cancer. InterVenn’s platform supports the creation of a diverse range of clinical applications, from disease screening to diagnostics, and has the potential to contribute to therapeutics. Founded by renowned experts, including Nobel Laureate Dr. Carolyn Bertozzi, InterVenn aims to advance personalized, predictive, and preventative healthcare solutions, enhancing patient outcomes and aiding pharmaceutical partners in their research and development efforts.

Intellimize, Inc. specializes in website personalization and conversion rate optimization, leveraging machine learning to enhance marketing effectiveness. Founded in 2016 and headquartered in San Mateo, California, the company automates the process of optimizing websites to improve customer acquisition and drive revenue growth. Intellimize's platform personalizes the user experience for each visitor in real-time across both mobile and desktop devices, allowing marketers to deliver tailored content without the complexities of traditional A/B testing or rules-based personalization. This approach enables companies to achieve higher conversion rates and increased revenue with less effort, making Intellimize a preferred choice for leading organizations seeking to optimize their online presence.

SiMa.ai is a software-centric, embedded edge machine learning system-on-chip company that develops a complete MLSoC platform combining hardware and software to enable high-performance, low-power machine learning inference on embedded edge devices. The platform supports traditional computing with ML inference, delivers push-button deployment and scaling at the edge, and adapts to various frameworks, networks, models, sensors, and modalities. It targets applications from computer vision to generative AI, offering improvements in performance and energy efficiency while enabling easy integration and secure operation for edge deployments.

Covariant is a developer of artificial intelligence for robotics, focused on creating the Covariant Brain, a universal AI system that empowers robots to perceive, reason, and interact with their environment. The company specializes in AI-based robotics and software, facilitating the deployment of robotics across various operations. Covariant's technology employs advanced techniques such as deep imitation learning, deep reinforcement learning, and meta-learning, allowing users to program robots intuitively. By using a virtual reality headset, clients can guide robots through tasks, simplifying the process of integrating robotics into their workflows.

OctoML provides a SaaS platform for machine learning engineers to automate model optimization using Apache TVM. Its flagship product, Octomizer, enables users to upload models, optimize them for various hardware environments, and benchmark performance. Incorporated in 2019, the company is headquartered in Seattle, Washington.

Rosebud AI develops software that enables users to create digital avatars for various purposes. The platform allows filtering by demographic, age, and style. Based in San Francisco, the company aims to make visual content creation accessible through AI-generated game assets.

Anyscale develops and operates distributed programming platforms for simplifying distributed AI development. It offers Ray, an open-source framework enabling software developers and machine learning engineers to scale applications effortlessly from a laptop to the cloud.

OctoML provides a SaaS platform for machine learning engineers to automate model optimization using Apache TVM. Its flagship product, Octomizer, enables users to upload models, optimize them for various hardware environments, and benchmark performance. Incorporated in 2019, the company is headquartered in Seattle, Washington.

Suplari, Inc. is a Seattle-based company founded in 2016 that specializes in developing systems for spend accountability and financial performance in enterprise procurement and finance. By leveraging machine learning, Suplari transforms the management of suppliers and costs for businesses. The company aggregates data from various internal sources, such as contracts, invoices, and usage records, into a unified datastore. This integration allows Suplari to provide applications that offer customers a comprehensive view of their supplier relationships. Their cloud-based system is designed to enhance operational intelligence and effectiveness, helping organizations manage spending, mitigate supplier risk, and streamline procurement processes. Ultimately, Suplari aims to empower companies to invest more effectively in growth and innovation.

Intellimize, Inc. specializes in website personalization and conversion rate optimization, leveraging machine learning to enhance marketing effectiveness. Founded in 2016 and headquartered in San Mateo, California, the company automates the process of optimizing websites to improve customer acquisition and drive revenue growth. Intellimize's platform personalizes the user experience for each visitor in real-time across both mobile and desktop devices, allowing marketers to deliver tailored content without the complexities of traditional A/B testing or rules-based personalization. This approach enables companies to achieve higher conversion rates and increased revenue with less effort, making Intellimize a preferred choice for leading organizations seeking to optimize their online presence.

Determined AI is a machine learning technology company founded in 2017 and based in San Francisco, California. It specializes in developing software that enhances deep learning workflows, GPU cluster management, and work tracking. The company's platform streamlines the process of building, training, and deploying deep learning models by facilitating distributed training and hyperparameter optimization. This approach enables clients to accelerate model development, improve resource utilization, and enhance overall productivity, thereby reducing the time-to-market for machine learning applications. By automating the tracking, sharing, and reproduction of experiments and metrics, Determined AI aims to minimize risks associated with model deployment.

Covariant is a developer of artificial intelligence for robotics, focused on creating the Covariant Brain, a universal AI system that empowers robots to perceive, reason, and interact with their environment. The company specializes in AI-based robotics and software, facilitating the deployment of robotics across various operations. Covariant's technology employs advanced techniques such as deep imitation learning, deep reinforcement learning, and meta-learning, allowing users to program robots intuitively. By using a virtual reality headset, clients can guide robots through tasks, simplifying the process of integrating robotics into their workflows.

InterVenn is a life science company focused on revolutionizing healthcare through the study of glycoproteomics, which involves glycosylated proteins that significantly influence protein function. By developing an innovative AI-powered platform, InterVenn decodes the complex glycoproteome, providing critical biological insights that were previously unattainable. This technology enables the identification, quantification, and classification of glycoproteomic signals in human blood and tissue, facilitating early detection and triaging of cancers, particularly ovarian cancer. InterVenn’s platform supports the creation of a diverse range of clinical applications, from disease screening to diagnostics, and has the potential to contribute to therapeutics. Founded by renowned experts, including Nobel Laureate Dr. Carolyn Bertozzi, InterVenn aims to advance personalized, predictive, and preventative healthcare solutions, enhancing patient outcomes and aiding pharmaceutical partners in their research and development efforts.

Primer Technologies develops software that uses machine learning and natural language processing to parse, collate, and analyze large multilingual document sets. Its platform reads documents, discovers insights, and automatically generates reports comparable to those produced by human analysts. The technology helps governments and corporations monitor and understand a wide range of information across languages, translating vast text data into actionable intelligence. Founded in 2014, Primer Technologies is based in San Francisco. The solution automates the analysis of substantial text datasets, enabling organizations to extract meaning from extensive stores of text data and accelerate investigations and decision-making.

Suplari, Inc. is a Seattle-based company founded in 2016 that specializes in developing systems for spend accountability and financial performance in enterprise procurement and finance. By leveraging machine learning, Suplari transforms the management of suppliers and costs for businesses. The company aggregates data from various internal sources, such as contracts, invoices, and usage records, into a unified datastore. This integration allows Suplari to provide applications that offer customers a comprehensive view of their supplier relationships. Their cloud-based system is designed to enhance operational intelligence and effectiveness, helping organizations manage spending, mitigate supplier risk, and streamline procurement processes. Ultimately, Suplari aims to empower companies to invest more effectively in growth and innovation.

Covariant is a developer of artificial intelligence for robotics, focused on creating the Covariant Brain, a universal AI system that empowers robots to perceive, reason, and interact with their environment. The company specializes in AI-based robotics and software, facilitating the deployment of robotics across various operations. Covariant's technology employs advanced techniques such as deep imitation learning, deep reinforcement learning, and meta-learning, allowing users to program robots intuitively. By using a virtual reality headset, clients can guide robots through tasks, simplifying the process of integrating robotics into their workflows.

Primer Technologies develops software that uses machine learning and natural language processing to parse, collate, and analyze large multilingual document sets. Its platform reads documents, discovers insights, and automatically generates reports comparable to those produced by human analysts. The technology helps governments and corporations monitor and understand a wide range of information across languages, translating vast text data into actionable intelligence. Founded in 2014, Primer Technologies is based in San Francisco. The solution automates the analysis of substantial text datasets, enabling organizations to extract meaning from extensive stores of text data and accelerate investigations and decision-making.

Suplari, Inc. is a Seattle-based company founded in 2016 that specializes in developing systems for spend accountability and financial performance in enterprise procurement and finance. By leveraging machine learning, Suplari transforms the management of suppliers and costs for businesses. The company aggregates data from various internal sources, such as contracts, invoices, and usage records, into a unified datastore. This integration allows Suplari to provide applications that offer customers a comprehensive view of their supplier relationships. Their cloud-based system is designed to enhance operational intelligence and effectiveness, helping organizations manage spending, mitigate supplier risk, and streamline procurement processes. Ultimately, Suplari aims to empower companies to invest more effectively in growth and innovation.

BlueData is a provider of a leading container-based software platform designed for artificial intelligence, machine learning, data science, and big data analytics. The company focuses on helping enterprises accelerate their deployment processes, facilitating faster time-to-value and reducing total cost of ownership. By leveraging Docker container technology and patented innovations, BlueData simplifies and streamlines the deployment of a range of applications, including Spark, Kafka, TensorFlow, and Hadoop. This approach enables organizations to access big data infrastructure and analytics capabilities on demand, ultimately making the deployment of analytics and machine learning applications faster and more cost-effective.

Primer Technologies develops software that uses machine learning and natural language processing to parse, collate, and analyze large multilingual document sets. Its platform reads documents, discovers insights, and automatically generates reports comparable to those produced by human analysts. The technology helps governments and corporations monitor and understand a wide range of information across languages, translating vast text data into actionable intelligence. Founded in 2014, Primer Technologies is based in San Francisco. The solution automates the analysis of substantial text datasets, enabling organizations to extract meaning from extensive stores of text data and accelerate investigations and decision-making.

Keen Labs, Inc. develops a customizable analytics platform that enables developers to efficiently collect, explore, and visualize data. The company's offerings include Keen Pro, which allows users to track, process, and store data from various sources such as applications, websites, IoT devices, and games, as well as to share insights with teams and clients. Additionally, Keen provides Native Analytics, a white-label solution for real-time analytics and advanced visualizations. The platform supports all aspects of event data management, facilitating the streaming, storage, querying, and presentation of data in one integrated system. Keen serves a diverse clientele across industries including media, advertising, gaming, SaaS, and hardware. Founded in 2011, Keen is headquartered in San Antonio, Texas.

Scaled Inference, Inc. is a Palo Alto, California-based company that specializes in artificial intelligence and machine learning technologies. Founded in 2014, it has developed a cloud-based platform aimed at third parties seeking to enhance their applications and services. This platform offers tools for general-purpose pattern recognition, anomaly detection, and predictive analytics, thereby enabling users to explore innovative applications and advance their computing capabilities. By leveraging its technology, Scaled Inference facilitates the integration of intelligent computing into a variety of software systems and products, including websites, mobile applications, and servers.

Keen Labs, Inc. develops a customizable analytics platform that enables developers to efficiently collect, explore, and visualize data. The company's offerings include Keen Pro, which allows users to track, process, and store data from various sources such as applications, websites, IoT devices, and games, as well as to share insights with teams and clients. Additionally, Keen provides Native Analytics, a white-label solution for real-time analytics and advanced visualizations. The platform supports all aspects of event data management, facilitating the streaming, storage, querying, and presentation of data in one integrated system. Keen serves a diverse clientele across industries including media, advertising, gaming, SaaS, and hardware. Founded in 2011, Keen is headquartered in San Antonio, Texas.

BlueData is a provider of a leading container-based software platform designed for artificial intelligence, machine learning, data science, and big data analytics. The company focuses on helping enterprises accelerate their deployment processes, facilitating faster time-to-value and reducing total cost of ownership. By leveraging Docker container technology and patented innovations, BlueData simplifies and streamlines the deployment of a range of applications, including Spark, Kafka, TensorFlow, and Hadoop. This approach enables organizations to access big data infrastructure and analytics capabilities on demand, ultimately making the deployment of analytics and machine learning applications faster and more cost-effective.

BlueData is a provider of a leading container-based software platform designed for artificial intelligence, machine learning, data science, and big data analytics. The company focuses on helping enterprises accelerate their deployment processes, facilitating faster time-to-value and reducing total cost of ownership. By leveraging Docker container technology and patented innovations, BlueData simplifies and streamlines the deployment of a range of applications, including Spark, Kafka, TensorFlow, and Hadoop. This approach enables organizations to access big data infrastructure and analytics capabilities on demand, ultimately making the deployment of analytics and machine learning applications faster and more cost-effective.

David AI is a technology company that specializes in transforming audio data into valuable insights. It develops an AI-powered platform designed to help businesses manage and analyze multimodal data, enabling them to create high-quality, proprietary datasets for AI model training. The platform automates data labeling, qualifies and manages data quality, and generates metadata to track data origin and changes. This allows clients to enhance their AI models, detect and remove irrelevant or duplicated data, and create new revenue streams.

Hex is a software company that provides collaborative data science and analytics. They provide individuals to learn and organizations to know things so they can make better decisions. Hex brings together SQL, Python, R, and no-code in powerful notebooks and allows users to publish projects as interactive data apps that anyone can use with one click.