Andreessen Horowitz

Safe Superintelligence is an AI research lab dedicated to developing superhuman intelligence while prioritizing safety. It operates a specialized lab to advance AI capabilities and integrate safety measures, aiming to create a scalable, safe superintelligent system. The company focuses on long-term technological advancements, free from short-term commercial pressures.

KREA operates an artificial intelligence platform that enables users to create images from text prompts and save them in personalized collections. The platform allows users to train a tailored AI using their own images, adapting it to individual styles. Additionally, KREA provides access to millions of AI-generated images, offering inspiration and insight for various projects.

Shield AI Inc is an artificial intelligence robotics company based in San Diego, California, focused on developing advanced AI-powered systems for national security and first responders. Incorporated in 2015, the company specializes in creating technologies that enhance the safety of military personnel and civilians. Its flagship products include Nova, an autonomous quadcopter drone equipped with lidar technology that operates effectively in GPS-denied environments, and Hivemind, an AI framework that allows various unmanned vehicles to learn from real and synthetic experiences, enabling autonomous operations without direct human control. Additionally, Shield AI has developed the V-BAT, a vertical takeoff and landing aircraft that can navigate contested environments and has been utilized in regions like the Black Sea and the Middle East. The company aims to transform defense operations by leveraging cutting-edge AI and machine learning technologies to execute complex tasks in dynamic and denied environments.

Generative Media Platform for Developers

Slingshot AI is an AI research company focused on enhancing global access to mental healthcare. With a mission to address the significant gap between the demand for mental health support and the availability of providers, which currently stands at 10,000:1, Slingshot AI develops advanced technology to assist individuals in improving their mental well-being and adaptability. The company specializes in creating large language models that grasp the intricacies of human psychology, enabling users to navigate daily challenges effectively. Based in New York City and London, Slingshot AI's multidisciplinary team of researchers, engineers, and mental health experts is committed to creating tools that empower individuals to overcome obstacles and foster better connections.

Raspberry AI employs artificial intelligence technology to design styles that are in high demand. The platform offers the convenience of instantly generating technical packs and CADs for any product image, providing a comprehensive solution for product design requirements. It also features automated, high-conversion product descriptions and photography, along with the capability to create new high-fidelity designs from a sketch or reference image.

Hippocratic AI focuses on developing safety-oriented large language models specifically designed for non-diagnostic, patient-facing applications in healthcare. Unlike conventional models that are often trained on diverse internet data, which may include unreliable information, Hippocratic AI emphasizes the acquisition of evidence-based healthcare content through lawful channels. The company aims to enhance healthcare accessibility and outcomes by creating a platform that facilitates safe artificial health general intelligence. This innovation seeks to empower patients to manage their health more effectively from home, thereby improving overall health outcomes with minimal inconvenience.

Anysphere is a company that builds Artificial Intelligence tools and assistants to help humans.

Happyrobot specializes in automating customer support and inbound sales calls through phone technology. Additionally, the company has developed an auto-labeling tool for computer vision, which streamlines the process of data curation and labeling for computer vision datasets. This tool assists machine learning and data teams by automatically labeling object detection and instance segmentation, allowing computer vision teams to efficiently label entire datasets with minimal effort. By combining advancements in customer interaction automation and computer vision technology, Happyrobot enhances operational efficiency for its clients.

Distributional is a developer of an AI testing and evaluation platform focused on ensuring that artificial intelligence systems are safe, reliable, and secure. The company offers tools for continuous monitoring, which include generating test cases and analyzing results. These tools help organizations ensure that their AI systems perform as expected, thereby fostering trust in AI technologies. By providing these capabilities, Distributional enables customers to deploy AI products more frequently and effectively, allowing them to fully leverage the potential benefits of AI within their operations.

11x is a technology company that specializes in developing autonomous digital workers aimed at optimizing organizational processes, particularly in go-to-market operations. By automating specific roles, 11x enables businesses to streamline their hiring budgets and enhance productivity. The company's primary offerings include Alice, an AI-powered sales development representative, and Jordan, both of which are part of its platform that provides customizable artificial intelligence workers. These digital workers are designed to perform tasks traditionally handled by knowledge workers, allowing organizations to improve efficiency and scale effectively as they grow.

Safe Superintelligence is an AI research lab dedicated to developing superhuman intelligence while prioritizing safety. It operates a specialized lab to advance AI capabilities and integrate safety measures, aiming to create a scalable, safe superintelligent system. The company focuses on long-term technological advancements, free from short-term commercial pressures.

Viggle AI is a pioneering Canadian firm that uses artificial intelligence to enable people of all skill levels to easily create high-quality animated video using simple text instructions.

Anysphere is a company that builds Artificial Intelligence tools and assistants to help humans.

Black Forest Labs creates advanced generative deep learning models for images and videos. They focus on making these technologies widely accessible and transparent, ensuring that their innovations are easy to use and understand. This approach aims to democratize access to cutting-edge technology and foster greater trust and utility.

Pantheon AI is a technology company currently operating in stealth mode. While specific details about its products or services are not publicly available, the company is focused on developing innovative solutions within the artificial intelligence sector. Operating in stealth mode suggests that Pantheon AI is in the early stages of research and development, likely working on advanced AI technologies or applications that have not yet been disclosed to the market.

Anysphere is a company that builds Artificial Intelligence tools and assistants to help humans.

Valar Labs is a healthcare technology company founded in 2021 by Anirudh Joshi, Viswesh Krishna, Pranav Rajpurkar, and Damir Vrabac. The company leverages artificial intelligence to enhance cancer treatment by analyzing imaging data typically used in routine clinical care. Valar Labs provides a software platform that offers interpretable and actionable insights, assisting oncologists in making informed treatment decisions tailored to each patient's unique characteristics. Through this approach, Valar Labs aims to improve patient outcomes and support doctors in delivering optimal care for individuals battling cancer.

XAI is a technology company specializing in artificial intelligence. It creates and deploys AI solutions, primarily using machine learning, to enhance data analysis and decision-making processes. XAI caters to the finance, healthcare, and logistics sectors, aiming to improve accuracy and efficiency in these industries.

Coactive AI is a machine learning platform focused on transforming unstructured image and video data into actionable insights. By providing an application programming interface, the company empowers data practitioners and teams to effectively utilize visual data alongside conventional big data tools. Coactive AI employs advanced techniques in data-centric artificial intelligence to enhance the usability of visual data, allowing analysts to derive meaningful insights quickly and efficiently. The platform aims to simplify the challenges associated with managing unstructured data, making it accessible and valuable for data-driven decision-making.

HumanX focuses on AI serves as a catalyst for enterprises to identify realistic solutions in the rapidly changing AI field.

Generative Media Platform for Developers

Hippocratic AI focuses on developing safety-oriented large language models specifically designed for non-diagnostic, patient-facing applications in healthcare. Unlike conventional models that are often trained on diverse internet data, which may include unreliable information, Hippocratic AI emphasizes the acquisition of evidence-based healthcare content through lawful channels. The company aims to enhance healthcare accessibility and outcomes by creating a platform that facilitates safe artificial health general intelligence. This innovation seeks to empower patients to manage their health more effectively from home, thereby improving overall health outcomes with minimal inconvenience.

Ideogram is a technology startup specializing in generative AI. It develops innovative tools that transform textual descriptions into visual images, making creative expression more accessible and intuitive.

Rasa Technologies GmbH, founded in 2016 and based in Berlin, Germany, specializes in developing machine learning tools for creating conversational software, including chatbots and virtual assistants. The company offers a suite of products, notably Rasa Open Source, a widely adopted framework for building text- and voice-based AI assistants, and Rasa X, a toolset designed to enhance and share these assistants. Rasa Enterprise provides an enterprise-grade solution for developing contextual assistants at scale. Rasa's platform is utilized across various industries, including healthcare, insurance, banking, telecommunications, and travel, focusing on applications such as lead generation, internal process automation, and customer service. The company is known for its commitment to data privacy and security, catering to both startups and large enterprises.

Hyperexponential is a provider of pricing decision intelligence software tailored for the commercial insurance sector. Its platform allows insurers to utilize large and alternative datasets to enhance their rating tools and make informed pricing decisions based on sophisticated machine-learning techniques. The software is designed to track live rate changes and assess portfolio performance, combining extensive actuarial pricing knowledge with software engineering skills. This enables clients to effectively address pricing challenges in the specialty insurance market, ultimately facilitating better risk assessment at both the portfolio and individual levels.

KREA operates an artificial intelligence platform that enables users to create images from text prompts and save them in personalized collections. The platform allows users to train a tailored AI using their own images, adapting it to individual styles. Additionally, KREA provides access to millions of AI-generated images, offering inspiration and insight for various projects.

Distributional is a developer of an AI testing and evaluation platform focused on ensuring that artificial intelligence systems are safe, reliable, and secure. The company offers tools for continuous monitoring, which include generating test cases and analyzing results. These tools help organizations ensure that their AI systems perform as expected, thereby fostering trust in AI technologies. By providing these capabilities, Distributional enables customers to deploy AI products more frequently and effectively, allowing them to fully leverage the potential benefits of AI within their operations.

Inductive Bio specializes in providing a machine learning platform that enhances the compound optimization process for drug development. The company focuses on addressing ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) challenges by building comprehensive datasets and machine learning models. This enables scientists to efficiently identify and refine small molecule compounds, transforming initial candidates into viable leads more rapidly and with improved properties. By streamlining the optimization process, Inductive Bio supports the development of new therapeutics, ultimately contributing to advancements in the pharmaceutical industry.

Replicate is a startup that offers a cloud-based platform for deploying machine learning models, aimed at streamlining the deployment process for software teams. By minimizing the manual work typically associated with machine learning model deployment, Replicate allows developers to efficiently deploy AI models with minimal coding requirements. The platform features a version control tool that automatically generates an application programming interface (API) server for custom models and tracks experiments with just two lines of code. This facilitates easier sharing and development of code among software developers, enabling them to focus on more critical tasks while improving overall workflow efficiency. Replicate's mission centers on enhancing the accessibility and efficiency of AI model deployment within the software development landscape.

Klu.ai is a generative AI platform that simplifies the process of designing, deploying, and optimizing AI applications. The company integrates major large language models (LLMs) such as Anthropic Claude, Azure OpenAI, GPT-4, and over 15 other models, enabling rapid prompt/model experimentation, data gathering, and user feedback. The platform offers features like Klu Actions for content generation, business operations workflows, content analysis, and summarization, as well as optimization techniques for A/B testing and fine-tuning support for models like OpenAI's GPT-3.5 Turbo and GPT-4. Klu.ai is committed to data privacy and security, providing data obfuscation and redaction features to protect sensitive information. Klu.ai is founded by Stephen M. Walker II in 2022 and is located in San Francisco, California.

MotherDuck specializes in data infrastructure and analytics, providing a serverless platform designed to handle both small and large datasets. By integrating the performance of DuckDB with cloud capabilities, the company offers a user-friendly solution that facilitates collaborative data analysis. Its platform employs an embedded database to support hybrid execution, allowing users to analyze data locally and remotely. This enables businesses to effectively prototype and optimize their data strategies, enhancing their ability to derive insights and maximize profits in a streamlined environment.

Inceptive specializes in the design of RNA molecules through the integration of large-scale deep learning and high-throughput experiments. The company has developed a platform for biological software that facilitates the creation of synthetic molecules capable of performing complex biological functions. By focusing on the rational design of innovative medicines and biotechnologies, Inceptive aims to provide advancements in healthcare and biotechnology that were previously beyond reach.

Ideogram is a technology startup specializing in generative AI. It develops innovative tools that transform textual descriptions into visual images, making creative expression more accessible and intuitive.

Civitai is a community platform based in Boise, Idaho, that focuses on fine-tuning open-source AI models, particularly Stable Diffusion. Founded in 2023, the platform allows users to create accounts, upload their customized models, and explore a vast collection of models shared by others. Civitai aims to facilitate content creation by providing tools that enable individuals to modify and utilize AI models effectively, fostering collaboration and innovation within the AI community.

KoBold Metals operates as an AI-powered mineral exploration company focused on discovering materials essential for the electric vehicle and renewable energy sectors. The company utilizes advanced software that aggregates and structures extensive scientific datasets, including geochemical, geophysical, and geological information. By applying various analytical techniques such as ensemble machine learning and computer vision, KoBold predicts subsurface compositions in a statistically valid manner. This innovative approach enhances the exploration efficiency for mineral resources, particularly cobalt, which is crucial for the electric vehicle industry. By merging ore-deposit science with big data and scientific computing, KoBold Metals aims to identify new sources of cobalt and support the sustainable supply chain for emerging technologies.

Jianjian (见见/八千里网络) is a Chinese mobile dating application. The application helps users automatically record the roads they have walked down, people whom they have met, analyze the connection between them, and finally, receive the accuracy of the relationship and fate index. Jianjian is attached to Xi'an 8000m Network Technology Limited Company.

Hippocratic AI focuses on developing safety-oriented large language models specifically designed for non-diagnostic, patient-facing applications in healthcare. Unlike conventional models that are often trained on diverse internet data, which may include unreliable information, Hippocratic AI emphasizes the acquisition of evidence-based healthcare content through lawful channels. The company aims to enhance healthcare accessibility and outcomes by creating a platform that facilitates safe artificial health general intelligence. This innovation seeks to empower patients to manage their health more effectively from home, thereby improving overall health outcomes with minimal inconvenience.

Metaphor is a search and discovery platform tailored for data scientists, data engineers, and AI practitioners. It facilitates better understanding and management of data through a comprehensive metadata knowledge graph. The platform integrates technical metadata with behavioral and social metadata, enabling users to easily access and leverage open-source projects. By streamlining the data discovery process, Metaphor aims to enhance the efficiency and effectiveness of its users in navigating complex data landscapes.

OpenAI is an artificial intelligence research and deployment company focused on developing machine learning technologies that aim to create safe artificial general intelligence for the benefit of all users. The company engages in projects related to autonomous learning and task performance across various industries, including technology, healthcare, and education. OpenAI's platform directs artificial intelligence applications and is involved in policy work, education, and outreach, enabling clients to enhance their skills and knowledge while leveraging autonomous systems that can surpass human performance in economically valuable tasks.

Pinecone is a technology company that specializes in developing a vector database platform designed to facilitate the deployment of complex machine learning applications. Its platform integrates vector search capabilities, filtering features, and robust distribution infrastructure, ensuring reliable performance at any scale. By providing real-time serving engines for deep learning retrieval applications, Pinecone enables developers to efficiently transform, search, and rank multi-dimensional vectors, significantly reducing processing time and enhancing the overall effectiveness of generative AI models.

Lightup is a no-code data quality platform that enables enterprises to achieve 100% data quality coverage 10x faster than legacy tools, across multi-cloud, hybrid, and on-premises environments, on batch or streaming data – scalable in minutes, not months. With prebuilt pushdown data quality checks, AI-powered anomaly detection, real-time incident alerts, and integrated issue resolution management, Lightup empowers data teams to proactively monitor data health at fine granularity and quickly pinpoint bad data flowing in good data pipelines to ensure reliable, accurate business-critical data and prevent costly data outages, before they occur. Founded in 2019, with headquarters in Mountain View, CA, Lightup Data, Inc. is a Series A private startup company, backed by Andreessen Horowitz (a16z) and Spectrum28.

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.

Coactive AI is a machine learning platform focused on transforming unstructured image and video data into actionable insights. By providing an application programming interface, the company empowers data practitioners and teams to effectively utilize visual data alongside conventional big data tools. Coactive AI employs advanced techniques in data-centric artificial intelligence to enhance the usability of visual data, allowing analysts to derive meaningful insights quickly and efficiently. The platform aims to simplify the challenges associated with managing unstructured data, making it accessible and valuable for data-driven decision-making.

Character.ai develops conversational applications that allow users to create and interact with AI characters. The company specializes in neural language models, which serve as versatile tools for various purposes, including entertainment, education, and general question-answering. Users can engage with these dialogue agents through text and voice, facilitating creativity, brainstorming, and language learning. Character.ai's proprietary technology supports a wide range of applications, enabling users to explore open-ended conversations with AI avatars tailored to their needs.

Replicate is a startup that offers a cloud-based platform for deploying machine learning models, aimed at streamlining the deployment process for software teams. By minimizing the manual work typically associated with machine learning model deployment, Replicate allows developers to efficiently deploy AI models with minimal coding requirements. The platform features a version control tool that automatically generates an application programming interface (API) server for custom models and tracks experiments with just two lines of code. This facilitates easier sharing and development of code among software developers, enabling them to focus on more critical tasks while improving overall workflow efficiency. Replicate's mission centers on enhancing the accessibility and efficiency of AI model deployment within the software development landscape.

Alison is a leading AI-powered platform specializing in video analysis for creative advertising. It offers a software-as-a-service solution that enables businesses to identify the most effective elements of their video content, access comprehensive performance data, and conduct insightful competitive analysis. By streamlining the process from ideation to production, Alison helps clients create videos that have a higher likelihood of success, eliminating guesswork and focusing on data-driven results. This platform is designed to enhance the overall effectiveness of video advertisements, ensuring that clients can optimize their creative strategies effectively.

Asimov, Inc. is a biotechnology company that specializes in the design and development of genetically engineered therapeutics. Established in 2017 and based in Cambridge, Massachusetts, Asimov focuses on creating tools for programming living cells to enhance the design and manufacturing processes of biologics and gene therapies. The company's platform integrates synthetic biology, computer-aided design, and machine learning, allowing for the engineering of genetic circuits. Asimov's multidisciplinary team employs machine-learning algorithms that connect large-scale datasets with biological models, facilitating advancements in molecular manufacturing and therapeutic applications. The company is dedicated to optimizing the production of protein biologics, viral vectors, and cell and gene therapies.

MotherDuck specializes in data infrastructure and analytics, providing a serverless platform designed to handle both small and large datasets. By integrating the performance of DuckDB with cloud capabilities, the company offers a user-friendly solution that facilitates collaborative data analysis. Its platform employs an embedded database to support hybrid execution, allowing users to analyze data locally and remotely. This enables businesses to effectively prototype and optimize their data strategies, enhancing their ability to derive insights and maximize profits in a streamlined environment.

Rewind is a personalized AI powered by everything you’ve seen, said, or heard.

BigHat Biosciences, Inc. is a biotechnology company based in San Carlos, California, founded in 2019. The company specializes in developing an automated platform that combines a wet laboratory with artificial intelligence and machine learning techniques for the production and characterization of antibodies. This innovative platform empowers drug developers to engineer antibodies and other therapeutic proteins with improved biophysical properties and complex functions. By leveraging AI-guided design capabilities, BigHat aims to create safer and more effective treatments for patients facing challenging diseases, thereby advancing the field of biotherapeutics.

Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.

Regression Games specializes in creating competitive gaming experiences that leverage artificial intelligence, making them accessible and enjoyable for a wide audience. The company develops innovative tools and solutions aimed at simplifying the workflows of game developers. Their platform focuses on quality assurance automation, game-balancing automation, and other related applications that utilize AI agents. This approach ensures that game development is streamlined and efficient, allowing developers to enhance their games while providing players with engaging AI-driven experiences.

Shield AI Inc is an artificial intelligence robotics company based in San Diego, California, focused on developing advanced AI-powered systems for national security and first responders. Incorporated in 2015, the company specializes in creating technologies that enhance the safety of military personnel and civilians. Its flagship products include Nova, an autonomous quadcopter drone equipped with lidar technology that operates effectively in GPS-denied environments, and Hivemind, an AI framework that allows various unmanned vehicles to learn from real and synthetic experiences, enabling autonomous operations without direct human control. Additionally, Shield AI has developed the V-BAT, a vertical takeoff and landing aircraft that can navigate contested environments and has been utilized in regions like the Black Sea and the Middle East. The company aims to transform defense operations by leveraging cutting-edge AI and machine learning technologies to execute complex tasks in dynamic and denied environments.

Irreverent Labs is a game development company based in Dover, Delaware, focused on creating AI-powered games and entertainment. The company specializes in developing non-playable characters (NPCs) that utilize artificial intelligence and machine learning, allowing for engaging gameplay experiences that can evolve over time. Additionally, Irreverent Labs is expanding its capabilities to include innovative creator tools such as text-to-3D modeling and video prediction, aimed at transforming the landscape of entertainment production. Through its unique approach, Irreverent Labs aims to deliver games that offer depth and enjoyment for decades.

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.

KoBold Metals operates as an AI-powered mineral exploration company focused on discovering materials essential for the electric vehicle and renewable energy sectors. The company utilizes advanced software that aggregates and structures extensive scientific datasets, including geochemical, geophysical, and geological information. By applying various analytical techniques such as ensemble machine learning and computer vision, KoBold predicts subsurface compositions in a statistically valid manner. This innovative approach enhances the exploration efficiency for mineral resources, particularly cobalt, which is crucial for the electric vehicle industry. By merging ore-deposit science with big data and scientific computing, KoBold Metals aims to identify new sources of cobalt and support the sustainable supply chain for emerging technologies.

Labelbox, Inc. is a company that operates an artificial intelligence-based platform focused on data labeling and management services. Founded in 2018 and headquartered in San Francisco, California, Labelbox enables organizations to efficiently create, manage, and maintain datasets for machine learning applications. Its platform features a visual workflow interface, annotation tools, and quality control functionalities, which help businesses reduce model development times and enhance the capabilities of their data science teams. Used by numerous Fortune 500 companies such as Walmart, Procter & Gamble, Genentech, and Adobe, Labelbox supports teams in leveraging advances in generative AI and large language models by providing the right balance of human supervision and automation. The company is backed by prominent investors, including SoftBank and Andreessen Horowitz.

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

Alluxio, Inc. is a provider of a memory-centric distributed storage system that facilitates unified data access across various applications and underlying storage systems. Founded in 2015 and based in Berkeley, California, the company emerged from an open-source project developed at UC Berkeley's AMPLab. Alluxio's platform enhances data orchestration, enabling analytics and machine learning operations in cloud environments by relocating data closer to compute resources. This architecture supports memory-speed access to files and objects, benefiting sectors such as financial services, retail, and telecommunications. The company has established a strategic collaboration with Intel to further advance its technology and offerings.

Irreverent Labs is a game development company based in Dover, Delaware, focused on creating AI-powered games and entertainment. The company specializes in developing non-playable characters (NPCs) that utilize artificial intelligence and machine learning, allowing for engaging gameplay experiences that can evolve over time. Additionally, Irreverent Labs is expanding its capabilities to include innovative creator tools such as text-to-3D modeling and video prediction, aimed at transforming the landscape of entertainment production. Through its unique approach, Irreverent Labs aims to deliver games that offer depth and enjoyment for decades.

Neural Magic provides enterprise inference solutions that enhance the performance of open-source large language models across diverse infrastructures. The company's software serves to accelerate artificial intelligence workloads on standard hardware, allowing organizations to efficiently utilize their existing resources. By leveraging big data and deep learning, Neural Magic's technology supports applications such as recommendations, image recognition, and object detection. This enables businesses to overcome the constraints typically associated with traditional hardware accelerators, facilitating secure and cost-effective deployments of AI models.

Shield AI Inc is an artificial intelligence robotics company based in San Diego, California, focused on developing advanced AI-powered systems for national security and first responders. Incorporated in 2015, the company specializes in creating technologies that enhance the safety of military personnel and civilians. Its flagship products include Nova, an autonomous quadcopter drone equipped with lidar technology that operates effectively in GPS-denied environments, and Hivemind, an AI framework that allows various unmanned vehicles to learn from real and synthetic experiences, enabling autonomous operations without direct human control. Additionally, Shield AI has developed the V-BAT, a vertical takeoff and landing aircraft that can navigate contested environments and has been utilized in regions like the Black Sea and the Middle East. The company aims to transform defense operations by leveraging cutting-edge AI and machine learning technologies to execute complex tasks in dynamic and denied environments.

AKASA is a leading developer of AI-powered automation solutions tailored for the healthcare revenue cycle. The company focuses on enhancing complex workflows, which allows healthcare providers to improve revenue outcomes and operational efficiency. By automating tasks such as prior authorization and claims processing, AKASA addresses time-consuming challenges that were previously difficult to resolve at scale. Their technology leverages advanced AI and machine learning to streamline revenue cycle management, resulting in significant performance improvements. Clients have reported a 13% reduction in accounts receivable days, an 86% increase in efficiency, and the saving of over 300 hours of staff time each month. With a commitment to data security and measurable results, AKASA has garnered substantial investment to advance its mission of simplifying the financial aspects of healthcare.

Labelbox, Inc. is a company that operates an artificial intelligence-based platform focused on data labeling and management services. Founded in 2018 and headquartered in San Francisco, California, Labelbox enables organizations to efficiently create, manage, and maintain datasets for machine learning applications. Its platform features a visual workflow interface, annotation tools, and quality control functionalities, which help businesses reduce model development times and enhance the capabilities of their data science teams. Used by numerous Fortune 500 companies such as Walmart, Procter & Gamble, Genentech, and Adobe, Labelbox supports teams in leveraging advances in generative AI and large language models by providing the right balance of human supervision and automation. The company is backed by prominent investors, including SoftBank and Andreessen Horowitz.

BigHat Biosciences, Inc. is a biotechnology company based in San Carlos, California, founded in 2019. The company specializes in developing an automated platform that combines a wet laboratory with artificial intelligence and machine learning techniques for the production and characterization of antibodies. This innovative platform empowers drug developers to engineer antibodies and other therapeutic proteins with improved biophysical properties and complex functions. By leveraging AI-guided design capabilities, BigHat aims to create safer and more effective treatments for patients facing challenging diseases, thereby advancing the field of biotherapeutics.

OpenAI is an artificial intelligence research and deployment company focused on developing machine learning technologies that aim to create safe artificial general intelligence for the benefit of all users. The company engages in projects related to autonomous learning and task performance across various industries, including technology, healthcare, and education. OpenAI's platform directs artificial intelligence applications and is involved in policy work, education, and outreach, enabling clients to enhance their skills and knowledge while leveraging autonomous systems that can surpass human performance in economically valuable tasks.

Metaphor is a search and discovery platform tailored for data scientists, data engineers, and AI practitioners. It facilitates better understanding and management of data through a comprehensive metadata knowledge graph. The platform integrates technical metadata with behavioral and social metadata, enabling users to easily access and leverage open-source projects. By streamlining the data discovery process, Metaphor aims to enhance the efficiency and effectiveness of its users in navigating complex data landscapes.

Reface is a Ukrainian product company specializing in artificial intelligence tools for content creation. It has garnered support from notable investors in the gaming and music industries, including leaders from Supercell and Unity Technologies. The company aims to democratize machine learning technologies and offers a range of products designed for content transformation. Notably, its flagship mobile app, Reface, enables users to swap faces in videos and photos, produce voice-over content, and generate AI portraits from selfies, achieving 250 million downloads within two years of its launch. Other offerings include Revive, which animates images for instant editing, Memomet, focused on creating Ukrainian memes, and Metahead, a technology for neural rendering of 3D images from 2D photos. Reface's innovative face-swapping technology allows users to easily edit media by transforming uploaded images into unique facial feature representations, enhancing personalized content creation.

Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.

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

Golden is a developer of a self-constructing knowledge platform designed to aggregate information from various public and private sources, creating a comprehensive repository. The platform offers structured representations of entities and topics, facilitating easy access to detailed information through a powerful search capability. By utilizing natural language processing, it interprets user queries, enabling researchers and academics to find relevant information efficiently. Additionally, Golden enhances collaboration and operational efficiency by providing semi-automatic research assistance that identifies knowledge gaps, allowing users to stay informed about the latest trends in their respective industries. Through the integration of human effort and machine intelligence, Golden simplifies the process of gathering and communicating knowledge.

Rasa Technologies GmbH, founded in 2016 and based in Berlin, Germany, specializes in developing machine learning tools for creating conversational software, including chatbots and virtual assistants. The company offers a suite of products, notably Rasa Open Source, a widely adopted framework for building text- and voice-based AI assistants, and Rasa X, a toolset designed to enhance and share these assistants. Rasa Enterprise provides an enterprise-grade solution for developing contextual assistants at scale. Rasa's platform is utilized across various industries, including healthcare, insurance, banking, telecommunications, and travel, focusing on applications such as lead generation, internal process automation, and customer service. The company is known for its commitment to data privacy and security, catering to both startups and large enterprises.

AKASA is a leading developer of AI-powered automation solutions tailored for the healthcare revenue cycle. The company focuses on enhancing complex workflows, which allows healthcare providers to improve revenue outcomes and operational efficiency. By automating tasks such as prior authorization and claims processing, AKASA addresses time-consuming challenges that were previously difficult to resolve at scale. Their technology leverages advanced AI and machine learning to streamline revenue cycle management, resulting in significant performance improvements. Clients have reported a 13% reduction in accounts receivable days, an 86% increase in efficiency, and the saving of over 300 hours of staff time each month. With a commitment to data security and measurable results, AKASA has garnered substantial investment to advance its mission of simplifying the financial aspects of healthcare.

Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.

Alluxio, Inc. is a provider of a memory-centric distributed storage system that facilitates unified data access across various applications and underlying storage systems. Founded in 2015 and based in Berkeley, California, the company emerged from an open-source project developed at UC Berkeley's AMPLab. Alluxio's platform enhances data orchestration, enabling analytics and machine learning operations in cloud environments by relocating data closer to compute resources. This architecture supports memory-speed access to files and objects, benefiting sectors such as financial services, retail, and telecommunications. The company has established a strategic collaboration with Intel to further advance its technology and offerings.

Labelbox, Inc. is a company that operates an artificial intelligence-based platform focused on data labeling and management services. Founded in 2018 and headquartered in San Francisco, California, Labelbox enables organizations to efficiently create, manage, and maintain datasets for machine learning applications. Its platform features a visual workflow interface, annotation tools, and quality control functionalities, which help businesses reduce model development times and enhance the capabilities of their data science teams. Used by numerous Fortune 500 companies such as Walmart, Procter & Gamble, Genentech, and Adobe, Labelbox supports teams in leveraging advances in generative AI and large language models by providing the right balance of human supervision and automation. The company is backed by prominent investors, including SoftBank and Andreessen Horowitz.

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

Neural Magic provides enterprise inference solutions that enhance the performance of open-source large language models across diverse infrastructures. The company's software serves to accelerate artificial intelligence workloads on standard hardware, allowing organizations to efficiently utilize their existing resources. By leveraging big data and deep learning, Neural Magic's technology supports applications such as recommendations, image recognition, and object detection. This enables businesses to overcome the constraints typically associated with traditional hardware accelerators, facilitating secure and cost-effective deployments of AI models.

Databricks Inc. is a technology company that provides a unified data analytics cloud platform designed to facilitate data engineering and collaborative data science. The company offers a comprehensive suite of tools, including a just-in-time data platform that simplifies data integration, real-time experimentation, and deployment of production applications for developers and data scientists. Key products include Databricks Delta, which combines the capabilities of data warehouses with low-latency streaming, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, manufacturing, and telecommunications, and has established strategic partnerships with various organizations to enhance its offerings. Founded in 2013, Databricks is headquartered in San Francisco, California, with additional offices in London, Amsterdam, and Bengaluru.

Shield AI Inc is an artificial intelligence robotics company based in San Diego, California, focused on developing advanced AI-powered systems for national security and first responders. Incorporated in 2015, the company specializes in creating technologies that enhance the safety of military personnel and civilians. Its flagship products include Nova, an autonomous quadcopter drone equipped with lidar technology that operates effectively in GPS-denied environments, and Hivemind, an AI framework that allows various unmanned vehicles to learn from real and synthetic experiences, enabling autonomous operations without direct human control. Additionally, Shield AI has developed the V-BAT, a vertical takeoff and landing aircraft that can navigate contested environments and has been utilized in regions like the Black Sea and the Middle East. The company aims to transform defense operations by leveraging cutting-edge AI and machine learning technologies to execute complex tasks in dynamic and denied environments.

KoBold Metals operates as an AI-powered mineral exploration company focused on discovering materials essential for the electric vehicle and renewable energy sectors. The company utilizes advanced software that aggregates and structures extensive scientific datasets, including geochemical, geophysical, and geological information. By applying various analytical techniques such as ensemble machine learning and computer vision, KoBold predicts subsurface compositions in a statistically valid manner. This innovative approach enhances the exploration efficiency for mineral resources, particularly cobalt, which is crucial for the electric vehicle industry. By merging ore-deposit science with big data and scientific computing, KoBold Metals aims to identify new sources of cobalt and support the sustainable supply chain for emerging technologies.

Databricks Inc. is a technology company that provides a unified data analytics cloud platform designed to facilitate data engineering and collaborative data science. The company offers a comprehensive suite of tools, including a just-in-time data platform that simplifies data integration, real-time experimentation, and deployment of production applications for developers and data scientists. Key products include Databricks Delta, which combines the capabilities of data warehouses with low-latency streaming, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, manufacturing, and telecommunications, and has established strategic partnerships with various organizations to enhance its offerings. Founded in 2013, Databricks is headquartered in San Francisco, California, with additional offices in London, Amsterdam, and Bengaluru.

Alluxio, Inc. is a provider of a memory-centric distributed storage system that facilitates unified data access across various applications and underlying storage systems. Founded in 2015 and based in Berkeley, California, the company emerged from an open-source project developed at UC Berkeley's AMPLab. Alluxio's platform enhances data orchestration, enabling analytics and machine learning operations in cloud environments by relocating data closer to compute resources. This architecture supports memory-speed access to files and objects, benefiting sectors such as financial services, retail, and telecommunications. The company has established a strategic collaboration with Intel to further advance its technology and offerings.

AKASA is a leading developer of AI-powered automation solutions tailored for the healthcare revenue cycle. The company focuses on enhancing complex workflows, which allows healthcare providers to improve revenue outcomes and operational efficiency. By automating tasks such as prior authorization and claims processing, AKASA addresses time-consuming challenges that were previously difficult to resolve at scale. Their technology leverages advanced AI and machine learning to streamline revenue cycle management, resulting in significant performance improvements. Clients have reported a 13% reduction in accounts receivable days, an 86% increase in efficiency, and the saving of over 300 hours of staff time each month. With a commitment to data security and measurable results, AKASA has garnered substantial investment to advance its mission of simplifying the financial aspects of healthcare.

Shield AI Inc is an artificial intelligence robotics company based in San Diego, California, focused on developing advanced AI-powered systems for national security and first responders. Incorporated in 2015, the company specializes in creating technologies that enhance the safety of military personnel and civilians. Its flagship products include Nova, an autonomous quadcopter drone equipped with lidar technology that operates effectively in GPS-denied environments, and Hivemind, an AI framework that allows various unmanned vehicles to learn from real and synthetic experiences, enabling autonomous operations without direct human control. Additionally, Shield AI has developed the V-BAT, a vertical takeoff and landing aircraft that can navigate contested environments and has been utilized in regions like the Black Sea and the Middle East. The company aims to transform defense operations by leveraging cutting-edge AI and machine learning technologies to execute complex tasks in dynamic and denied environments.

Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.

DeepMap, Inc. is a technology company that specializes in high-definition mapping and localization solutions for autonomous vehicles. Founded in 2016 and headquartered in Palo Alto, California, with additional offices in Beijing and Guangzhou, the company focuses on enabling safe navigation in complex driving environments. DeepMap offers precise HD maps and ultra-accurate real-time localization, which are essential for self-driving cars to operate effectively across various road types and conditions. The company's solutions also include a robust infrastructure designed to support large-scale deployments of autonomous technology, thereby enhancing the safety and efficiency of self-driving vehicles.

Insitro, Inc. is a data-driven company focused on drug discovery and development, particularly targeting nonalcoholic steatohepatitis (NASH). Founded in 2018 by Daphne Koller and based in South San Francisco, California, Insitro harnesses machine learning and high-throughput biology to revolutionize the process of drug discovery. The company creates extensive functional genomic data sets and integrates them with patient data through innovative machine learning techniques. This approach allows Insitro to build predictive models that enhance target selection, streamline the design of therapeutics, and optimize drug development strategies. By addressing critical challenges in pharmaceutical research and development, Insitro aims to accelerate the delivery of new and effective treatments to patients.

Asimov, Inc. is a biotechnology company that specializes in the design and development of genetically engineered therapeutics. Established in 2017 and based in Cambridge, Massachusetts, Asimov focuses on creating tools for programming living cells to enhance the design and manufacturing processes of biologics and gene therapies. The company's platform integrates synthetic biology, computer-aided design, and machine learning, allowing for the engineering of genetic circuits. Asimov's multidisciplinary team employs machine-learning algorithms that connect large-scale datasets with biological models, facilitating advancements in molecular manufacturing and therapeutic applications. The company is dedicated to optimizing the production of protein biologics, viral vectors, and cell and gene therapies.

Databricks Inc. is a technology company that provides a unified data analytics cloud platform designed to facilitate data engineering and collaborative data science. The company offers a comprehensive suite of tools, including a just-in-time data platform that simplifies data integration, real-time experimentation, and deployment of production applications for developers and data scientists. Key products include Databricks Delta, which combines the capabilities of data warehouses with low-latency streaming, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, manufacturing, and telecommunications, and has established strategic partnerships with various organizations to enhance its offerings. Founded in 2013, Databricks is headquartered in San Francisco, California, with additional offices in London, Amsterdam, and Bengaluru.

UnifyID, Inc. is a San Francisco-based company founded in 2015 that specializes in developing an identity application utilizing implicit authentication. This innovative platform creates unique user profiles by analyzing sensor data from everyday devices combined with machine learning techniques. Unlike traditional authentication methods that require conscious user action, UnifyID's approach leverages factors such as location and user habits to enhance accuracy and improve user experience. By employing proprietary algorithms, the company can assess the likelihood of a user's identity based on various signals, making it extremely difficult for unauthorized access. UnifyID's commitment to privacy is a central aspect of its technology, ensuring that user information remains secure. The company has garnered recognition within the tech community, including awards at prestigious events and being named a Gartner Cool Vendor in identity management.

DeepMap, Inc. is a technology company that specializes in high-definition mapping and localization solutions for autonomous vehicles. Founded in 2016 and headquartered in Palo Alto, California, with additional offices in Beijing and Guangzhou, the company focuses on enabling safe navigation in complex driving environments. DeepMap offers precise HD maps and ultra-accurate real-time localization, which are essential for self-driving cars to operate effectively across various road types and conditions. The company's solutions also include a robust infrastructure designed to support large-scale deployments of autonomous technology, thereby enhancing the safety and efficiency of self-driving vehicles.

Shield AI Inc is an artificial intelligence robotics company based in San Diego, California, focused on developing advanced AI-powered systems for national security and first responders. Incorporated in 2015, the company specializes in creating technologies that enhance the safety of military personnel and civilians. Its flagship products include Nova, an autonomous quadcopter drone equipped with lidar technology that operates effectively in GPS-denied environments, and Hivemind, an AI framework that allows various unmanned vehicles to learn from real and synthetic experiences, enabling autonomous operations without direct human control. Additionally, Shield AI has developed the V-BAT, a vertical takeoff and landing aircraft that can navigate contested environments and has been utilized in regions like the Black Sea and the Middle East. The company aims to transform defense operations by leveraging cutting-edge AI and machine learning technologies to execute complex tasks in dynamic and denied environments.

Rigetti Computing is a full-stack quantum computing company that designs and manufactures quantum-integrated circuits, which are deployed in low-temperature environments. The company develops control systems that perform quantum logic operations and has created software to seamlessly integrate its quantum systems into existing cloud infrastructures. Rigetti is known for its development of the industry's first multi-chip quantum processor, enabling scalable quantum computing systems. Additionally, the company focuses on practical applications of quantum computing, particularly in computational chemistry and machine learning, and has introduced Forest, a comprehensive programming and execution environment for quantum and classical computing. The majority of its revenue is generated from the United States.

Databricks Inc. is a technology company that provides a unified data analytics cloud platform designed to facilitate data engineering and collaborative data science. The company offers a comprehensive suite of tools, including a just-in-time data platform that simplifies data integration, real-time experimentation, and deployment of production applications for developers and data scientists. Key products include Databricks Delta, which combines the capabilities of data warehouses with low-latency streaming, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, manufacturing, and telecommunications, and has established strategic partnerships with various organizations to enhance its offerings. Founded in 2013, Databricks is headquartered in San Francisco, California, with additional offices in London, Amsterdam, and Bengaluru.

Quantopian, Inc. operates an online platform designed for the development and testing of quantitative trading algorithms. Founded in 2011 and based in Boston, Massachusetts, the platform offers tools and infrastructure that allow users to learn about quantitative finance, engage in community discussions, and explore algorithms shared by other members. Users can create and backtest their algorithms, review performance results and risk metrics, and trade their strategies. The company boasts a community of approximately 195,000 quants who collaborate and share insights. Additionally, select algorithm authors can license their algorithms to Quantopian, earning compensation based on performance. The firm provides capital, data, and resources to support its community in researching, coding, and executing algorithmic investing strategies.

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

DeepMap, Inc. is a technology company that specializes in high-definition mapping and localization solutions for autonomous vehicles. Founded in 2016 and headquartered in Palo Alto, California, with additional offices in Beijing and Guangzhou, the company focuses on enabling safe navigation in complex driving environments. DeepMap offers precise HD maps and ultra-accurate real-time localization, which are essential for self-driving cars to operate effectively across various road types and conditions. The company's solutions also include a robust infrastructure designed to support large-scale deployments of autonomous technology, thereby enhancing the safety and efficiency of self-driving vehicles.

Rigetti Computing is a full-stack quantum computing company that designs and manufactures quantum-integrated circuits, which are deployed in low-temperature environments. The company develops control systems that perform quantum logic operations and has created software to seamlessly integrate its quantum systems into existing cloud infrastructures. Rigetti is known for its development of the industry's first multi-chip quantum processor, enabling scalable quantum computing systems. Additionally, the company focuses on practical applications of quantum computing, particularly in computational chemistry and machine learning, and has introduced Forest, a comprehensive programming and execution environment for quantum and classical computing. The majority of its revenue is generated from the United States.