Greylock

LlamaIndex is a developer of a flexible data framework that facilitates the integration of custom data sources with large language models (LLMs). The company's central interface toolkit enables businesses to connect unstructured, structured, or semi-structured data, allowing for the creation of robust end-user applications. By providing a simple solution for augmenting LLM applications with external data, LlamaIndex empowers organizations to leverage their unique data assets effectively.

Baseten provides a serverless backend designed to simplify the development of machine-learning-powered applications. It enables data science and machine learning teams to create applications without requiring extensive knowledge of backend, frontend, or MLOps. With features such as auto-scaling, GPU access, CRON jobs, and serverless functions, Baseten facilitates quicker and more informed decision-making within organizations. The platform offers reusable components that allow users to efficiently assemble workflows and deploy machine learning models in a scalable and cost-effective manner. By streamlining the transition from prototype to production, Baseten empowers engineers to maintain flexibility in their coding while ensuring high performance and rapid inference in response to varying traffic demands. The company aims to make machine learning accessible to organizations of all sizes.

Braintrust offers an AI stack to simplify the process from evaluations to data management, ensuring seamless integration into any business. Braintrust simplifies the evaluation process by facilitating easy scoring, logging, and visualization of outputs. Users can investigate failures, monitor performance trends, and address queries like identifying regressions or assessing new models. The platform offers a Prompt Playground, allowing users to compare multiple prompts, benchmarks, and input/output pairs across runs, enabling both ephemeral tinkering and experiment evaluation on large datasets. In Continuous Integration, Braintrust seamlessly integrates into workflows, enabling progress tracking on the main branch and automatic comparison of new experiments with live versions before deployment. With a focus on Datasets, the platform enables the effortless capture of rated examples from staging and production, incorporating them into versioned "golden" datasets stored in the cloud. This ensures the evolution of datasets without jeopardizing evaluations dependent on them.

Uplimit is an education technology company that aims to transform how professionals and organizations develop essential skills for the future. By leveraging an AI-powered platform, Uplimit offers innovative learning solutions tailored to the needs of the modern workforce. The platform provides live group courses focused on machine learning and data science, created and taught by industry experts. This approach enables both employees and students to enhance their professional skills while learning alongside peers in a supportive community. Uplimit's emphasis on scalable skill development ensures that individuals and organizations can adapt and thrive in a rapidly changing professional landscape.

Baseten provides a serverless backend designed to simplify the development of machine-learning-powered applications. It enables data science and machine learning teams to create applications without requiring extensive knowledge of backend, frontend, or MLOps. With features such as auto-scaling, GPU access, CRON jobs, and serverless functions, Baseten facilitates quicker and more informed decision-making within organizations. The platform offers reusable components that allow users to efficiently assemble workflows and deploy machine learning models in a scalable and cost-effective manner. By streamlining the transition from prototype to production, Baseten empowers engineers to maintain flexibility in their coding while ensuring high performance and rapid inference in response to varying traffic demands. The company aims to make machine learning accessible to organizations of all sizes.

Braintrust offers an AI stack to simplify the process from evaluations to data management, ensuring seamless integration into any business. Braintrust simplifies the evaluation process by facilitating easy scoring, logging, and visualization of outputs. Users can investigate failures, monitor performance trends, and address queries like identifying regressions or assessing new models. The platform offers a Prompt Playground, allowing users to compare multiple prompts, benchmarks, and input/output pairs across runs, enabling both ephemeral tinkering and experiment evaluation on large datasets. In Continuous Integration, Braintrust seamlessly integrates into workflows, enabling progress tracking on the main branch and automatic comparison of new experiments with live versions before deployment. With a focus on Datasets, the platform enables the effortless capture of rated examples from staging and production, incorporating them into versioned "golden" datasets stored in the cloud. This ensures the evolution of datasets without jeopardizing evaluations dependent on them.

Modular is an AI software development platform aimed at simplifying the creation and deployment of artificial intelligence applications. The platform integrates various popular frameworks through common interfaces, enhancing usability and flexibility while ensuring compatibility across diverse hardware backends and cloud environments. This approach allows developers to adopt the tools seamlessly into their existing workflows without the need for extensive code modifications. By focusing on production-quality infrastructure and a straightforward user experience, Modular enables developers to save time and increase their productivity, ultimately streamlining the development process from edge to datacenter.

LlamaIndex is a developer of a flexible data framework that facilitates the integration of custom data sources with large language models (LLMs). The company's central interface toolkit enables businesses to connect unstructured, structured, or semi-structured data, allowing for the creation of robust end-user applications. By providing a simple solution for augmenting LLM applications with external data, LlamaIndex empowers organizations to leverage their unique data assets effectively.

Treat AI is a customer acquisition platform designed for e-commerce brands, providing a comprehensive database that enables businesses to manage customer interactions and behaviors effectively. The platform consolidates customer data into a unified view, allowing marketers to access individual customer profiles and analyze their activities. Utilizing artificial intelligence, Treat generates personalized videos, images, and content tailored to specific customers. This capability empowers brands to experiment with targeted marketing strategies and quickly identify customer segments based on real-time behavior, ultimately enhancing customer engagement and driving sales.

Adept is an AI research and product lab focused on automating software processes for developers. The company utilizes a combination of automation, computer vision, and machine learning to streamline repetitive tasks, which enhances efficiency in various workflows. By reimagining human-computer interaction, Adept's systems enable collaborative creativity, allowing users to maintain control while leveraging AI to handle routine activities. This approach not only automates processes but also frees up time for users to engage in more meaningful work.

Tome is a company that transforms the sales process for teams by utilizing custom language models to enhance productivity at every stage of sales. The platform aids sales representatives in building qualified pipelines through detailed account research, value hypotheses, and automated outreach. It accelerates existing sales efforts by providing automated call summaries, updated account plans, CRM synchronization, and auto-generated marketing collateral. Additionally, Tome offers insights that help optimize sales strategies, enabling teams to identify effective messaging and features that lead to quicker, larger deals. By streamlining repetitive tasks, Tome allows account executives to focus more on customer interactions, while sales leaders benefit from improved pipeline quality and deal closure rates. Revenue operations leaders can trust that their systems are functioning efficiently, maximizing the potential of their sales processes.

Atomic AI is focused on advancing RNA drug discovery through the integration of machine learning and structural biology. The company operates a content intelligence platform that facilitates the rational design of new molecules and medicines. By leveraging engagement data from clients' analytics, Atomic AI gathers insights to create predictive reports on various topics, including optimal publishing times and distribution channels. This approach equips users with innovative strategies to develop treatments or cures for diseases by specifically targeting RNA structures.

Logoi is a software-as-a-service (SaaS) company that specializes in an AI-driven insights platform aimed at enhancing knowledge transfer, management, productivity, and onboarding processes. The platform is designed specifically for performance marketing agencies, enabling them to acquire and retain clients more effectively. By structuring discussions and addressing employee inquiries, Logoi facilitates the sharing of previously siloed knowledge through its AI-powered personal assistant. This approach not only streamlines communication among employees but also ensures that their questions and concerns receive timely and personalized attention, ultimately fostering a more productive work environment.

Uplimit is an education technology company that aims to transform how professionals and organizations develop essential skills for the future. By leveraging an AI-powered platform, Uplimit offers innovative learning solutions tailored to the needs of the modern workforce. The platform provides live group courses focused on machine learning and data science, created and taught by industry experts. This approach enables both employees and students to enhance their professional skills while learning alongside peers in a supportive community. Uplimit's emphasis on scalable skill development ensures that individuals and organizations can adapt and thrive in a rapidly changing professional landscape.

Bluesky develops data cloud software that focuses on providing intelligent workload optimization and cost governance tools for data-driven organizations. By offering next-generation data infrastructure, Bluesky enables CIOs and senior management to manage and optimize data cloud expenses effectively. Its solutions enhance productivity for data analysts and data scientists while simplifying processes for data engineers. This approach allows organizations to innovate while maintaining control over their costs, thereby addressing the complex challenges associated with data management in cloud environments.

Falkon AI Inc. is a Seattle-based company founded in 2019 that specializes in developing software that integrates machine learning with human intuition. The company's primary focus is to empower professionals by enabling them to define, understand, and enhance key metrics essential to their work. By combining advanced technology with user insights, Falkon aims to create a new system of intelligence that addresses the critical metrics that matter most to businesses and professionals.

Optic, headquartered in San Francisco, is an AI-driven company with two distinct business arms. Its primary focus is AI Drug Discovery, where it employs a proprietary ligand-based and target-driven molecular search engine, Bioptic.io, to identify compounds based on their activity-expressing fingerprints. This innovative approach enables Optic to generate diverse sets of drug candidates, with multiple pre-clinical stage programs in its pipeline, demonstrating its commitment to practical, AI-driven solutions in cancer therapy. Additionally, Optic operates a content identification engine for Web3, monitoring blockchains to track the origin and usage of non-fungible tokens (NFTs).

Optic, headquartered in San Francisco, is an AI-driven company with two distinct business arms. Its primary focus is AI Drug Discovery, where it employs a proprietary ligand-based and target-driven molecular search engine, Bioptic.io, to identify compounds based on their activity-expressing fingerprints. This innovative approach enables Optic to generate diverse sets of drug candidates, with multiple pre-clinical stage programs in its pipeline, demonstrating its commitment to practical, AI-driven solutions in cancer therapy. Additionally, Optic operates a content identification engine for Web3, monitoring blockchains to track the origin and usage of non-fungible tokens (NFTs).

Modular is an AI software development platform aimed at simplifying the creation and deployment of artificial intelligence applications. The platform integrates various popular frameworks through common interfaces, enhancing usability and flexibility while ensuring compatibility across diverse hardware backends and cloud environments. This approach allows developers to adopt the tools seamlessly into their existing workflows without the need for extensive code modifications. By focusing on production-quality infrastructure and a straightforward user experience, Modular enables developers to save time and increase their productivity, ultimately streamlining the development process from edge to datacenter.

Predibase is a developer platform that simplifies the process of fine-tuning and serving small open-source language models in the cloud. It enables engineering teams to efficiently create high-performance machine learning algorithms with a low-code approach, allowing users to define AI systems with minimal coding. Founded by a team with experience from Apple and Uber, Predibase offers a scalable and cost-effective solution built on open-source foundations, including LoRAX. The platform features a user-friendly interface for training models and leverages high-end GPU capacity for production serving, ensuring that performance is not compromised. Predibase is designed for deployment in private clouds, allowing organizations to maintain control over their data and models. The platform is currently utilized by both Fortune 500 companies and high-growth firms, facilitating rapid delivery of AI-driven solutions.

Adept is an AI research and product lab focused on automating software processes for developers. The company utilizes a combination of automation, computer vision, and machine learning to streamline repetitive tasks, which enhances efficiency in various workflows. By reimagining human-computer interaction, Adept's systems enable collaborative creativity, allowing users to maintain control while leveraging AI to handle routine activities. This approach not only automates processes but also frees up time for users to engage in more meaningful work.

Baseten provides a serverless backend designed to simplify the development of machine-learning-powered applications. It enables data science and machine learning teams to create applications without requiring extensive knowledge of backend, frontend, or MLOps. With features such as auto-scaling, GPU access, CRON jobs, and serverless functions, Baseten facilitates quicker and more informed decision-making within organizations. The platform offers reusable components that allow users to efficiently assemble workflows and deploy machine learning models in a scalable and cost-effective manner. By streamlining the transition from prototype to production, Baseten empowers engineers to maintain flexibility in their coding while ensuring high performance and rapid inference in response to varying traffic demands. The company aims to make machine learning accessible to organizations of all sizes.

Baseten provides a serverless backend designed to simplify the development of machine-learning-powered applications. It enables data science and machine learning teams to create applications without requiring extensive knowledge of backend, frontend, or MLOps. With features such as auto-scaling, GPU access, CRON jobs, and serverless functions, Baseten facilitates quicker and more informed decision-making within organizations. The platform offers reusable components that allow users to efficiently assemble workflows and deploy machine learning models in a scalable and cost-effective manner. By streamlining the transition from prototype to production, Baseten empowers engineers to maintain flexibility in their coding while ensuring high performance and rapid inference in response to varying traffic demands. The company aims to make machine learning accessible to organizations of all sizes.

Truera, Inc. is a company based in Redwood City, California, that specializes in a model intelligence platform designed to enhance the effectiveness of machine learning investments. Founded in 2014, Truera helps businesses across various industries, including banking, insurance, technology, and publishing, to better understand machine learning predictions and build trust in their models. The platform provides solutions for testing, analyzing, and monitoring machine learning, addressing issues such as black-box problems and improving model quality. Truera's software has become a vital component of the machine learning workflow, aiding in the development, governance, and operationalization of models while delivering significant value to leading enterprises.

Gretel.ai is a San Diego-based company founded in 2019 that specializes in a multimodal synthetic data platform. The platform employs advanced generative AI and privacy-enhancing technologies to create artificial datasets that mimic the characteristics of real data. This allows developers to generate, test, and refine AI models without compromising individual privacy. Gretel's technology includes automatic data categorization and identification, enabling seamless labeling of customer identifiers such as names and addresses. By providing a secure environment for experimenting with customer data, Gretel facilitates collaboration among developers while ensuring compliance with privacy standards.

Tome is a company that transforms the sales process for teams by utilizing custom language models to enhance productivity at every stage of sales. The platform aids sales representatives in building qualified pipelines through detailed account research, value hypotheses, and automated outreach. It accelerates existing sales efforts by providing automated call summaries, updated account plans, CRM synchronization, and auto-generated marketing collateral. Additionally, Tome offers insights that help optimize sales strategies, enabling teams to identify effective messaging and features that lead to quicker, larger deals. By streamlining repetitive tasks, Tome allows account executives to focus more on customer interactions, while sales leaders benefit from improved pipeline quality and deal closure rates. Revenue operations leaders can trust that their systems are functioning efficiently, maximizing the potential of their sales processes.

Snorkel AI, Inc. is a company that develops a comprehensive machine-learning platform designed to facilitate the creation, management, and monitoring of AI applications. Its primary offering, Snorkel Flow, allows users to programmatically label and augment training data, manage and integrate various datasets, and deploy machine learning models, while also providing tools for data analysis and monitoring. The platform is particularly effective in extracting structured information from complex documents and forms, as well as ranking content based on relevance. Founded in 2016 and based in Palo Alto, California, Snorkel AI serves a diverse range of industries, including finance, government, telecommunications, insurance, healthcare, and e-commerce. The technology was developed at Stanford AI Lab and employs innovative methods such as weak supervision to enhance data preparation, thereby streamlining the AI development process for enterprises.

Snorkel AI, Inc. is a company that develops a comprehensive machine-learning platform designed to facilitate the creation, management, and monitoring of AI applications. Its primary offering, Snorkel Flow, allows users to programmatically label and augment training data, manage and integrate various datasets, and deploy machine learning models, while also providing tools for data analysis and monitoring. The platform is particularly effective in extracting structured information from complex documents and forms, as well as ranking content based on relevance. Founded in 2016 and based in Palo Alto, California, Snorkel AI serves a diverse range of industries, including finance, government, telecommunications, insurance, healthcare, and e-commerce. The technology was developed at Stanford AI Lab and employs innovative methods such as weak supervision to enhance data preparation, thereby streamlining the AI development process for enterprises.

Tome is a company that transforms the sales process for teams by utilizing custom language models to enhance productivity at every stage of sales. The platform aids sales representatives in building qualified pipelines through detailed account research, value hypotheses, and automated outreach. It accelerates existing sales efforts by providing automated call summaries, updated account plans, CRM synchronization, and auto-generated marketing collateral. Additionally, Tome offers insights that help optimize sales strategies, enabling teams to identify effective messaging and features that lead to quicker, larger deals. By streamlining repetitive tasks, Tome allows account executives to focus more on customer interactions, while sales leaders benefit from improved pipeline quality and deal closure rates. Revenue operations leaders can trust that their systems are functioning efficiently, maximizing the potential of their sales processes.

Atomic AI is focused on advancing RNA drug discovery through the integration of machine learning and structural biology. The company operates a content intelligence platform that facilitates the rational design of new molecules and medicines. By leveraging engagement data from clients' analytics, Atomic AI gathers insights to create predictive reports on various topics, including optimal publishing times and distribution channels. This approach equips users with innovative strategies to develop treatments or cures for diseases by specifically targeting RNA structures.

Truera, Inc. is a company based in Redwood City, California, that specializes in a model intelligence platform designed to enhance the effectiveness of machine learning investments. Founded in 2014, Truera helps businesses across various industries, including banking, insurance, technology, and publishing, to better understand machine learning predictions and build trust in their models. The platform provides solutions for testing, analyzing, and monitoring machine learning, addressing issues such as black-box problems and improving model quality. Truera's software has become a vital component of the machine learning workflow, aiding in the development, governance, and operationalization of models while delivering significant value to leading enterprises.

Gretel.ai is a San Diego-based company founded in 2019 that specializes in a multimodal synthetic data platform. The platform employs advanced generative AI and privacy-enhancing technologies to create artificial datasets that mimic the characteristics of real data. This allows developers to generate, test, and refine AI models without compromising individual privacy. Gretel's technology includes automatic data categorization and identification, enabling seamless labeling of customer identifiers such as names and addresses. By providing a secure environment for experimenting with customer data, Gretel facilitates collaboration among developers while ensuring compliance with privacy standards.

Truera, Inc. is a company based in Redwood City, California, that specializes in a model intelligence platform designed to enhance the effectiveness of machine learning investments. Founded in 2014, Truera helps businesses across various industries, including banking, insurance, technology, and publishing, to better understand machine learning predictions and build trust in their models. The platform provides solutions for testing, analyzing, and monitoring machine learning, addressing issues such as black-box problems and improving model quality. Truera's software has become a vital component of the machine learning workflow, aiding in the development, governance, and operationalization of models while delivering significant value to leading enterprises.

Snorkel AI, Inc. is a company that develops a comprehensive machine-learning platform designed to facilitate the creation, management, and monitoring of AI applications. Its primary offering, Snorkel Flow, allows users to programmatically label and augment training data, manage and integrate various datasets, and deploy machine learning models, while also providing tools for data analysis and monitoring. The platform is particularly effective in extracting structured information from complex documents and forms, as well as ranking content based on relevance. Founded in 2016 and based in Palo Alto, California, Snorkel AI serves a diverse range of industries, including finance, government, telecommunications, insurance, healthcare, and e-commerce. The technology was developed at Stanford AI Lab and employs innovative methods such as weak supervision to enhance data preparation, thereby streamlining the AI development process for enterprises.

Snorkel AI, Inc. is a company that develops a comprehensive machine-learning platform designed to facilitate the creation, management, and monitoring of AI applications. Its primary offering, Snorkel Flow, allows users to programmatically label and augment training data, manage and integrate various datasets, and deploy machine learning models, while also providing tools for data analysis and monitoring. The platform is particularly effective in extracting structured information from complex documents and forms, as well as ranking content based on relevance. Founded in 2016 and based in Palo Alto, California, Snorkel AI serves a diverse range of industries, including finance, government, telecommunications, insurance, healthcare, and e-commerce. The technology was developed at Stanford AI Lab and employs innovative methods such as weak supervision to enhance data preparation, thereby streamlining the AI development process for enterprises.

Awake Security, Inc. specializes in network traffic analysis, providing a platform that autonomously identifies and assesses threats within various network environments. Founded in 2014 and based in Santa Clara, California, the company offers its Awake platform, which leverages machine learning, threat intelligence, and human expertise to analyze vast amounts of communication data. This platform profiles and classifies users, devices, and applications, enabling the detection of malicious intent from both insider and external threats. With capabilities for automated investigation and response, Awake enhances security team productivity by delivering actionable insights rather than mere alerts. Furthermore, the company offers security strategy and advisory solutions, ensuring comprehensive protection across traditional, IoT, and cloud networks. Awake Security operates as a subsidiary of Arista Networks, Inc. as of October 2020.

Gretel.ai is a San Diego-based company founded in 2019 that specializes in a multimodal synthetic data platform. The platform employs advanced generative AI and privacy-enhancing technologies to create artificial datasets that mimic the characteristics of real data. This allows developers to generate, test, and refine AI models without compromising individual privacy. Gretel's technology includes automatic data categorization and identification, enabling seamless labeling of customer identifiers such as names and addresses. By providing a secure environment for experimenting with customer data, Gretel facilitates collaboration among developers while ensuring compliance with privacy standards.

Falkon AI Inc. is a Seattle-based company founded in 2019 that specializes in developing software that integrates machine learning with human intuition. The company's primary focus is to empower professionals by enabling them to define, understand, and enhance key metrics essential to their work. By combining advanced technology with user insights, Falkon aims to create a new system of intelligence that addresses the critical metrics that matter most to businesses and professionals.

GrowingIO is a prominent analytics platform provider in China, established in May 2015 by Simon Zhang, Dingding Ye, Justin Chen, Yuanming Shan, and Jonathan Wu. Headquartered in Beijing, the company specializes in helping businesses drive growth through data insights. Its platform allows for comprehensive tracking of user behavior across applications, Mini programs (such as those on WeChat), and websites. By offering tools for rapid deployment and real-time data acquisition, GrowingIO enables companies to develop a complete data monitoring system. This facilitates efficient management of key business indicators and provides actionable insights that support data-driven decision-making and enhance overall business performance.

Remedy is a prescriptive chronic care analytics platform employing artificial intelligence to help value-based health systems determine who should get what care, when, how, and by whom to maximize patient health outcomes per dollar spent. We are a design-driven company with core medical AI technology capable of diagnosing disease, catching hidden high-risk diagnoses, and projecting the development of patient’s health into the future. Built around our core AI engine, our first product Remedy Sentinel helps value-based providers identify hidden chronic, co-morbid conditions and intervene by engaging high-risk patients prior to onset. We envision a world where healthcare marries the science of “health” with the art of “care”: scientific, data-driven decision making drives the best outcomes for each individual patient, and frees providers to focus on applying their human touch. Remedy combines novel artificial intelligence algorithms for predictive medical analytics with a healthcare-optimized product development process to give leaders the tools they need to transform their delivery networks and thrive in a value-based care environment. With this approach, Remedy builds a scalable suite of products that, when deployed, learn from experience, and grow into a solution optimized to fit the needs of specific provider groups and the populations they serve. Remedy systematically maximizes the patient health outcome achieved with each dollar spent by using AI to help determine what care is delivered to whom, when it is delivered, where it is delivered, how it is delivered, followed, and supported, and who should deliver it. We not only surface insights, but also build the necessary tools and helps coordinate step-by-step implementation processes to affect real change.

Awake Security, Inc. specializes in network traffic analysis, providing a platform that autonomously identifies and assesses threats within various network environments. Founded in 2014 and based in Santa Clara, California, the company offers its Awake platform, which leverages machine learning, threat intelligence, and human expertise to analyze vast amounts of communication data. This platform profiles and classifies users, devices, and applications, enabling the detection of malicious intent from both insider and external threats. With capabilities for automated investigation and response, Awake enhances security team productivity by delivering actionable insights rather than mere alerts. Furthermore, the company offers security strategy and advisory solutions, ensuring comprehensive protection across traditional, IoT, and cloud networks. Awake Security operates as a subsidiary of Arista Networks, Inc. as of October 2020.

DeepScale, Inc. is a technology company specializing in perceptual system software for semi-autonomous and autonomous vehicles. Founded in 2015 and headquartered in Mountain View, California, the company focuses on enabling automakers to utilize low-wattage processors for improved perception capabilities. DeepScale's technology incorporates artificial intelligence and deep learning algorithms to create advanced driver-assistance systems. The company develops a visual perception platform that utilizes training data and innovative deep neural network architectures to enhance vehicle awareness of their surroundings in real time. In 2019, DeepScale became a subsidiary of Tesla, further integrating its advanced perception technologies into the evolving landscape of autonomous driving.

GrowingIO is a prominent analytics platform provider in China, established in May 2015 by Simon Zhang, Dingding Ye, Justin Chen, Yuanming Shan, and Jonathan Wu. Headquartered in Beijing, the company specializes in helping businesses drive growth through data insights. Its platform allows for comprehensive tracking of user behavior across applications, Mini programs (such as those on WeChat), and websites. By offering tools for rapid deployment and real-time data acquisition, GrowingIO enables companies to develop a complete data monitoring system. This facilitates efficient management of key business indicators and provides actionable insights that support data-driven decision-making and enhance overall business performance.

Simppler, Inc. offers an employee referral platform designed to assist hiring managers and recruiters in sourcing quality talent from their employees' networks. Founded in 2013 and based in San Mateo, California, the company focuses on enhancing the employee referral process through matchmaking technology and machine learning algorithms that provide accurate referral recommendations. This platform fosters collaboration among employees, recruiting teams, and hiring managers, streamlining the recruitment process and improving candidate engagement. Key features include automatic notifications, a referral leaderboard for tracking performance, and weekly newsletters. By facilitating effective employee referrals, Simppler aims to improve hiring speed, reduce costs, and enhance overall business performance, thereby serving as a competitive advantage in today's knowledge-driven economy. Simppler operates as a subsidiary of Teamable Inc.

Ozlo is an integrated knowledge platform that enhances the capabilities of intelligent systems by enabling them to understand and represent real-world information more effectively. The platform utilizes advanced personal AI technology to facilitate meaningful interactions through a conversational mobile search tool, which acts as an open index of knowledge. By incorporating probabilistic assertions alongside established facts, Ozlo provides a more nuanced understanding of information. This innovative approach allows intelligent systems to engage in longer conversations, improve conversion rates, and foster greater customer loyalty. The company comprises a team of 30 experts specializing in computational linguistics, machine learning, data science, and search technologies.

Pixel Labs is a media technology company based in San Francisco, California, founded in 2014. It specializes in hyperlocal content discovery, operating in 40 US cities with a focus on delivering news and information down to a 0.2-mile radius. The company uses machine learning and AI to transform raw data into automated stories, producing thousands of hyperlocal articles monthly. Pixel Labs' platform also tags and contextualizes content from various partner publications, adding precise location data and other metadata. Its technology, known as Atlas, analyzes vast amounts of unstructured data to identify and validate the most relevant signals, creating local stories and videos through a blend of editorial input, machine learning, and data science. The company's partners include major entities like ABC, Yahoo Search, MSN, Eventbrite, Uber, CBS, Advance Digital, Zumper, and McClatchy. Pixel Labs has a team of 28 employees and has attracted investments from notable firms such as Greylock, Rakuten, Disney, Social Capital, CRV, Innovation Endeavors, and Joi Ito.

Simppler, Inc. offers an employee referral platform designed to assist hiring managers and recruiters in sourcing quality talent from their employees' networks. Founded in 2013 and based in San Mateo, California, the company focuses on enhancing the employee referral process through matchmaking technology and machine learning algorithms that provide accurate referral recommendations. This platform fosters collaboration among employees, recruiting teams, and hiring managers, streamlining the recruitment process and improving candidate engagement. Key features include automatic notifications, a referral leaderboard for tracking performance, and weekly newsletters. By facilitating effective employee referrals, Simppler aims to improve hiring speed, reduce costs, and enhance overall business performance, thereby serving as a competitive advantage in today's knowledge-driven economy. Simppler operates as a subsidiary of Teamable Inc.

RichRelevance, Inc. is a leading provider of omnichannel personalization solutions, enabling multinational companies to enhance customer experiences across various platforms, including web, mobile, and in-store environments. Founded in 2005 and headquartered in San Francisco, the company offers a comprehensive personalization platform known as Relevance Cloud, which includes tools such as RichRelevance Discover for personalized search and browsing, RichRelevance Engage for targeted marketing campaigns, and RichRelevance Recommend for data-driven product suggestions. Additionally, RichRelevance provides API-based tools through RichRelevance Build and strategic decision-making support with RichRelevance Xen AI. The firm serves over 240 clients worldwide, driving significant sales and daily decision-making processes. It has a global presence with offices in major cities, including New York, Seattle, London, and Paris, and operates as a subsidiary of Manthan Software Services Pvt. Ltd. RichRelevance's capabilities and services are designed to create differentiated customer experiences in an integrated retail landscape.

Timeful Inc. is a technology company based in Mountain View, California, focused on transforming time management through an innovative application. Established in 2012, it operates as a subsidiary of Alphabet Inc. Timeful's platform employs machine learning and behavioral science to assist users in managing their time effectively. By tracking commitments and categorizing tasks, the application generates personalized schedules that align with individual preferences and previous behaviors. Co-founded by experts in artificial intelligence, data mining, and behavioral science, Timeful aims to help users prioritize what matters most in their lives and cultivate better lifestyle habits.

Camio is a developer of a video monitoring application that transforms real-time video into actionable insights. The platform connects various types of cameras, including smartphones, tablets, and network cameras, to create a unified intelligent feed. Utilizing advanced machine learning algorithms, Camio's application securely stores video in the cloud and allows users to efficiently monitor sensitive areas to ensure compliance with payment card industry standards. By offering a cost-effective solution for video surveillance, Camio enhances the flexibility and efficiency of modern video monitoring systems.

RichRelevance, Inc. is a leading provider of omnichannel personalization solutions, enabling multinational companies to enhance customer experiences across various platforms, including web, mobile, and in-store environments. Founded in 2005 and headquartered in San Francisco, the company offers a comprehensive personalization platform known as Relevance Cloud, which includes tools such as RichRelevance Discover for personalized search and browsing, RichRelevance Engage for targeted marketing campaigns, and RichRelevance Recommend for data-driven product suggestions. Additionally, RichRelevance provides API-based tools through RichRelevance Build and strategic decision-making support with RichRelevance Xen AI. The firm serves over 240 clients worldwide, driving significant sales and daily decision-making processes. It has a global presence with offices in major cities, including New York, Seattle, London, and Paris, and operates as a subsidiary of Manthan Software Services Pvt. Ltd. RichRelevance's capabilities and services are designed to create differentiated customer experiences in an integrated retail landscape.

Cloudera, Inc. is a provider of data analytics and management solutions, operating primarily in the United States, Europe, and Asia. The company offers a comprehensive suite of products through its Subscription and Services segments. Its flagship Cloudera Enterprise Data Hub enables organizations to perform various analytics on a governed and secure data set across public and private clouds or data centers. Cloudera also provides a hybrid cloud solution known as Cloudera Data Warehouse for self-service analytics, along with tools like Cloudera Data Science and Engineering for big data processing and Cloudera Operational DB for real-time analytics. Additional offerings include the Hortonworks Data Platform, Cloudera DataFlow for data collection and analysis, and Cloudera SDX for security and governance. Cloudera supports its clients—corporate enterprises and public sector organizations—through software subscriptions and professional services that include consultation, training, and machine learning expertise. Founded in 2008 and headquartered in Palo Alto, California, Cloudera aims to transform complex data into actionable insights while ensuring efficiency and security.

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.

RichRelevance, Inc. is a leading provider of omnichannel personalization solutions, enabling multinational companies to enhance customer experiences across various platforms, including web, mobile, and in-store environments. Founded in 2005 and headquartered in San Francisco, the company offers a comprehensive personalization platform known as Relevance Cloud, which includes tools such as RichRelevance Discover for personalized search and browsing, RichRelevance Engage for targeted marketing campaigns, and RichRelevance Recommend for data-driven product suggestions. Additionally, RichRelevance provides API-based tools through RichRelevance Build and strategic decision-making support with RichRelevance Xen AI. The firm serves over 240 clients worldwide, driving significant sales and daily decision-making processes. It has a global presence with offices in major cities, including New York, Seattle, London, and Paris, and operates as a subsidiary of Manthan Software Services Pvt. Ltd. RichRelevance's capabilities and services are designed to create differentiated customer experiences in an integrated retail landscape.

Cloudera, Inc. is a provider of data analytics and management solutions, operating primarily in the United States, Europe, and Asia. The company offers a comprehensive suite of products through its Subscription and Services segments. Its flagship Cloudera Enterprise Data Hub enables organizations to perform various analytics on a governed and secure data set across public and private clouds or data centers. Cloudera also provides a hybrid cloud solution known as Cloudera Data Warehouse for self-service analytics, along with tools like Cloudera Data Science and Engineering for big data processing and Cloudera Operational DB for real-time analytics. Additional offerings include the Hortonworks Data Platform, Cloudera DataFlow for data collection and analysis, and Cloudera SDX for security and governance. Cloudera supports its clients—corporate enterprises and public sector organizations—through software subscriptions and professional services that include consultation, training, and machine learning expertise. Founded in 2008 and headquartered in Palo Alto, California, Cloudera aims to transform complex data into actionable insights while ensuring efficiency and security.

Impermium is a cybersecurity technology startup that specializes in protecting online businesses from cybercrime. With a focus on real-time monitoring, the company has developed an advanced risk-evaluation platform that helps identify fraudulent registrations, compromised logins, and risky transactions. It serves over 1.5 million sites and has processed more than 8 billion transactions in its short history. By utilizing a combination of machine learning, statistical anomaly detection, and a proprietary database of malicious actors, Impermium effectively stops fraudulent user account registrations in real time. This technology is particularly beneficial for large consumer Internet companies, enabling them to eliminate fraud and web abuse while enhancing overall account management.

TellApart, Inc. is a company that specializes in personalized predictive marketing, providing a platform designed to enhance customer engagement and drive sales for retailers. Founded in 2009 and based in San Francisco, California, TellApart's offerings include an identity network service that amalgamates online and offline data to create comprehensive customer profiles, as well as a predictive engine that assists shoppers in discovering relevant products. The platform enables personalized marketing across various digital channels, including display ads, social media, and email, ensuring that retailers can deliver tailored messages in real-time. TellApart's solutions encompass cross-device and native advertisement retargeting, audience targeting, and promotions, significantly contributing to increased revenue for numerous prominent retail brands. As of 2015, TellApart operates as a subsidiary of Twitter, Inc.

Sociogramics launched in 2011 on the premise that existing scores and methods for sorting and assigning consumer behaviors are obsolete in an era of Big Data. We are leveraging emerging data sets coupled with our team's machine learning expertise to fundamentally improve online identity, employment and income verification.

Adku is a San Francisco-based company focused on providing big data solutions for e-commerce. Founded by former Google employees, the company aims to enhance the online shopping experience by offering tailored product suggestions. Acquired by Groupon in 2012, Adku operates as a stealth startup and was previously part of the AngelPad accelerator program. Its innovative technology seeks to optimize consumer engagement in the digital marketplace.

Cloudera, Inc. is a provider of data analytics and management solutions, operating primarily in the United States, Europe, and Asia. The company offers a comprehensive suite of products through its Subscription and Services segments. Its flagship Cloudera Enterprise Data Hub enables organizations to perform various analytics on a governed and secure data set across public and private clouds or data centers. Cloudera also provides a hybrid cloud solution known as Cloudera Data Warehouse for self-service analytics, along with tools like Cloudera Data Science and Engineering for big data processing and Cloudera Operational DB for real-time analytics. Additional offerings include the Hortonworks Data Platform, Cloudera DataFlow for data collection and analysis, and Cloudera SDX for security and governance. Cloudera supports its clients—corporate enterprises and public sector organizations—through software subscriptions and professional services that include consultation, training, and machine learning expertise. Founded in 2008 and headquartered in Palo Alto, California, Cloudera aims to transform complex data into actionable insights while ensuring efficiency and security.

TellApart, Inc. is a company that specializes in personalized predictive marketing, providing a platform designed to enhance customer engagement and drive sales for retailers. Founded in 2009 and based in San Francisco, California, TellApart's offerings include an identity network service that amalgamates online and offline data to create comprehensive customer profiles, as well as a predictive engine that assists shoppers in discovering relevant products. The platform enables personalized marketing across various digital channels, including display ads, social media, and email, ensuring that retailers can deliver tailored messages in real-time. TellApart's solutions encompass cross-device and native advertisement retargeting, audience targeting, and promotions, significantly contributing to increased revenue for numerous prominent retail brands. As of 2015, TellApart operates as a subsidiary of Twitter, Inc.

RichRelevance, Inc. is a leading provider of omnichannel personalization solutions, enabling multinational companies to enhance customer experiences across various platforms, including web, mobile, and in-store environments. Founded in 2005 and headquartered in San Francisco, the company offers a comprehensive personalization platform known as Relevance Cloud, which includes tools such as RichRelevance Discover for personalized search and browsing, RichRelevance Engage for targeted marketing campaigns, and RichRelevance Recommend for data-driven product suggestions. Additionally, RichRelevance provides API-based tools through RichRelevance Build and strategic decision-making support with RichRelevance Xen AI. The firm serves over 240 clients worldwide, driving significant sales and daily decision-making processes. It has a global presence with offices in major cities, including New York, Seattle, London, and Paris, and operates as a subsidiary of Manthan Software Services Pvt. Ltd. RichRelevance's capabilities and services are designed to create differentiated customer experiences in an integrated retail landscape.

Cloudera, Inc. is a provider of data analytics and management solutions, operating primarily in the United States, Europe, and Asia. The company offers a comprehensive suite of products through its Subscription and Services segments. Its flagship Cloudera Enterprise Data Hub enables organizations to perform various analytics on a governed and secure data set across public and private clouds or data centers. Cloudera also provides a hybrid cloud solution known as Cloudera Data Warehouse for self-service analytics, along with tools like Cloudera Data Science and Engineering for big data processing and Cloudera Operational DB for real-time analytics. Additional offerings include the Hortonworks Data Platform, Cloudera DataFlow for data collection and analysis, and Cloudera SDX for security and governance. Cloudera supports its clients—corporate enterprises and public sector organizations—through software subscriptions and professional services that include consultation, training, and machine learning expertise. Founded in 2008 and headquartered in Palo Alto, California, Cloudera aims to transform complex data into actionable insights while ensuring efficiency and security.

RichRelevance, Inc. is a leading provider of omnichannel personalization solutions, enabling multinational companies to enhance customer experiences across various platforms, including web, mobile, and in-store environments. Founded in 2005 and headquartered in San Francisco, the company offers a comprehensive personalization platform known as Relevance Cloud, which includes tools such as RichRelevance Discover for personalized search and browsing, RichRelevance Engage for targeted marketing campaigns, and RichRelevance Recommend for data-driven product suggestions. Additionally, RichRelevance provides API-based tools through RichRelevance Build and strategic decision-making support with RichRelevance Xen AI. The firm serves over 240 clients worldwide, driving significant sales and daily decision-making processes. It has a global presence with offices in major cities, including New York, Seattle, London, and Paris, and operates as a subsidiary of Manthan Software Services Pvt. Ltd. RichRelevance's capabilities and services are designed to create differentiated customer experiences in an integrated retail landscape.

Farecast is a fare-prediction startup founded in 2003 that helps travelers decide whether to purchase airline tickets or wait for potentially lower fares. The company utilizes analysis of 175 billion points of historical airfare data to provide intelligent predictions, claiming a success rate of 70-75% in forecasting price trends up to a week in advance. Farecast distinguishes itself from competitors by being the only service that offers these predictive insights. Additionally, the platform has expanded its offerings to include hotel deals, displaying results from various travel search sites on a map, which highlights pricing information. This allows users to quickly identify overpriced hotels, marked in blue, and attractively priced options, marked in red, ultimately helping travelers save money on their travel expenses.

Farecast is a fare-prediction startup founded in 2003 that helps travelers decide whether to purchase airline tickets or wait for potentially lower fares. The company utilizes analysis of 175 billion points of historical airfare data to provide intelligent predictions, claiming a success rate of 70-75% in forecasting price trends up to a week in advance. Farecast distinguishes itself from competitors by being the only service that offers these predictive insights. Additionally, the platform has expanded its offerings to include hotel deals, displaying results from various travel search sites on a map, which highlights pricing information. This allows users to quickly identify overpriced hotels, marked in blue, and attractively priced options, marked in red, ultimately helping travelers save money on their travel expenses.

Snorkel AI, Inc. is a company that develops a comprehensive machine-learning platform designed to facilitate the creation, management, and monitoring of AI applications. Its primary offering, Snorkel Flow, allows users to programmatically label and augment training data, manage and integrate various datasets, and deploy machine learning models, while also providing tools for data analysis and monitoring. The platform is particularly effective in extracting structured information from complex documents and forms, as well as ranking content based on relevance. Founded in 2016 and based in Palo Alto, California, Snorkel AI serves a diverse range of industries, including finance, government, telecommunications, insurance, healthcare, and e-commerce. The technology was developed at Stanford AI Lab and employs innovative methods such as weak supervision to enhance data preparation, thereby streamlining the AI development process for enterprises.

Bytez is a New York-based company that specializes in providing a platform for developers and data scientists to access machine learning research and resources. Founded in 2018, Bytez aims to simplify the process of finding, understanding, and utilizing open-source AI technologies. The platform offers features such as personalized AI feeds, interactive content, and access to a variety of datasets and source AI models. By enabling teams to discover, demo, and deploy AI solutions more efficiently, Bytez helps organizations compare and run large AI models at scale, ultimately saving time and reducing costs.