Andreessen Horowitz

Shield AI Inc is a San Diego-based company that specializes in developing artificial intelligence systems for national security and first responders. Founded in 2015, the company creates products that enhance safety for service members and civilians through advanced AI technologies. Its prominent offerings include Nova, an autonomous quadcopter drone equipped with lidar technology, capable of navigating in GPS-denied environments to provide real-time imagery and mapping for military operations. Additionally, the company’s Hivemind software allows various unmanned vehicles, including drones and aircraft, to operate autonomously without GPS or human intervention, thereby maintaining maneuverability in contested settings. Shield AI also incorporates the V-BAT, a vertical takeoff and landing aircraft, which has demonstrated resilience in challenging regions such as the Black Sea and the Middle East. The company aims to transform defense operations through innovative machine learning applications, enabling unmanned systems to perform complex tasks in dynamic and unscripted environments.

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.

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 develops artificial intelligence technologies for data analysis and decision-making. It uses machine learning algorithms to increase accuracy. XAI operates in finance, healthcare, and logistics 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 an artificial intelligence startup that provides generative text-to-image technology.

Rasa is the leader in generative conversational AI, empowering enterprises to optimize customer service processes and reduce costs by enabling next-level AI assistant development and operation at scale. Combining pro-code and no-code options, our platform allows cross-team collaboration for smarter and faster AI assistant building to accelerate time-to-value significantly. Our unique approach transparently leverages an LLM-native dialogue engine that makes Rasa a reliable and innovative partner for enterprises seeking to significantly enhance their customer interactions with seamless conversational experiences. Rasa provides the data privacy, security, and scalability our Fortune 500 enterprise customers need. Rasa is privately held, with funding from PayPal Ventures, StepStone Group, Accel, Andreessen Horowitz, and Basis Set Ventures. www.rasa.com

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 uses cloud technology to run machine learning models. By providing a streamlined solution, their platform is intended to reduce manual work for software teams. Developers can deploy AI models with minimal coding on Replicate's platform, making the process more efficient. The startup's technology promises to make machine learning model deployment easier by reducing the amount of manual work required from software teams. Developers can streamline their workflow and focus on other important tasks by utilizing their platform. Replicate's mission is to make AI model deployment more accessible and efficient for software teams.

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 an artificial intelligence startup that provides generative text-to-image technology.

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.

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.

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.

Character.ai provides open-ended conversational applications in which users create characters and converse with them. The company aims to create dialogue agents with a broad range of uses in entertainment, instruction, general question-answering, and other areas. The business specializes in neural language models, which can be used as tools for creativity, idea generation, language learning, and a variety of other tasks. Users can access dialogue agents that are propelled by in-house technology.

Replicate is a startup that uses cloud technology to run machine learning models. By providing a streamlined solution, their platform is intended to reduce manual work for software teams. Developers can deploy AI models with minimal coding on Replicate's platform, making the process more efficient. The startup's technology promises to make machine learning model deployment easier by reducing the amount of manual work required from software teams. Developers can streamline their workflow and focus on other important tasks by utilizing their platform. Replicate's mission is to make AI model deployment more accessible and efficient for software teams.

Alison is the world's best AI-powered creative (Video) Analysis platform. From ideation to optimization to production, Alison makes it easier than ever to create Videos with the highest likelihood of success. Our unique SaaS technology allows businesses to identify their top-performing elements in creatives, get full-funnel data, and perform intelligent competitive analysis. Stop the guesswork and start making results-driven creatives!

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 is a developer of an AI-guided protein therapeutic platform used to integrate antibody characterization lab with machine learning technologies to engineer molecules with more complex functions and better biophysical properties. The company is applying these design capabilities to develop new generations of safer and more effective treatments for patients suffering from today’s most challenging diseases.

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 a San Diego-based company that specializes in developing artificial intelligence systems for national security and first responders. Founded in 2015, the company creates products that enhance safety for service members and civilians through advanced AI technologies. Its prominent offerings include Nova, an autonomous quadcopter drone equipped with lidar technology, capable of navigating in GPS-denied environments to provide real-time imagery and mapping for military operations. Additionally, the company’s Hivemind software allows various unmanned vehicles, including drones and aircraft, to operate autonomously without GPS or human intervention, thereby maintaining maneuverability in contested settings. Shield AI also incorporates the V-BAT, a vertical takeoff and landing aircraft, which has demonstrated resilience in challenging regions such as the Black Sea and the Middle East. The company aims to transform defense operations through innovative machine learning applications, enabling unmanned systems to perform complex tasks in dynamic and unscripted 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.

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 a San Diego-based company that specializes in developing artificial intelligence systems for national security and first responders. Founded in 2015, the company creates products that enhance safety for service members and civilians through advanced AI technologies. Its prominent offerings include Nova, an autonomous quadcopter drone equipped with lidar technology, capable of navigating in GPS-denied environments to provide real-time imagery and mapping for military operations. Additionally, the company’s Hivemind software allows various unmanned vehicles, including drones and aircraft, to operate autonomously without GPS or human intervention, thereby maintaining maneuverability in contested settings. Shield AI also incorporates the V-BAT, a vertical takeoff and landing aircraft, which has demonstrated resilience in challenging regions such as the Black Sea and the Middle East. The company aims to transform defense operations through innovative machine learning applications, enabling unmanned systems to perform complex tasks in dynamic and unscripted 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 is a developer of an AI-guided protein therapeutic platform used to integrate antibody characterization lab with machine learning technologies to engineer molecules with more complex functions and better biophysical properties. The company is applying these design capabilities to develop new generations of safer and more effective treatments for patients suffering from today’s most challenging diseases.

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.

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 is the leader in generative conversational AI, empowering enterprises to optimize customer service processes and reduce costs by enabling next-level AI assistant development and operation at scale. Combining pro-code and no-code options, our platform allows cross-team collaboration for smarter and faster AI assistant building to accelerate time-to-value significantly. Our unique approach transparently leverages an LLM-native dialogue engine that makes Rasa a reliable and innovative partner for enterprises seeking to significantly enhance their customer interactions with seamless conversational experiences. Rasa provides the data privacy, security, and scalability our Fortune 500 enterprise customers need. Rasa is privately held, with funding from PayPal Ventures, StepStone Group, Accel, Andreessen Horowitz, and Basis Set Ventures. www.rasa.com

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.

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. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

Shield AI Inc is a San Diego-based company that specializes in developing artificial intelligence systems for national security and first responders. Founded in 2015, the company creates products that enhance safety for service members and civilians through advanced AI technologies. Its prominent offerings include Nova, an autonomous quadcopter drone equipped with lidar technology, capable of navigating in GPS-denied environments to provide real-time imagery and mapping for military operations. Additionally, the company’s Hivemind software allows various unmanned vehicles, including drones and aircraft, to operate autonomously without GPS or human intervention, thereby maintaining maneuverability in contested settings. Shield AI also incorporates the V-BAT, a vertical takeoff and landing aircraft, which has demonstrated resilience in challenging regions such as the Black Sea and the Middle East. The company aims to transform defense operations through innovative machine learning applications, enabling unmanned systems to perform complex tasks in dynamic and unscripted environments.

Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

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 a San Diego-based company that specializes in developing artificial intelligence systems for national security and first responders. Founded in 2015, the company creates products that enhance safety for service members and civilians through advanced AI technologies. Its prominent offerings include Nova, an autonomous quadcopter drone equipped with lidar technology, capable of navigating in GPS-denied environments to provide real-time imagery and mapping for military operations. Additionally, the company’s Hivemind software allows various unmanned vehicles, including drones and aircraft, to operate autonomously without GPS or human intervention, thereby maintaining maneuverability in contested settings. Shield AI also incorporates the V-BAT, a vertical takeoff and landing aircraft, which has demonstrated resilience in challenging regions such as the Black Sea and the Middle East. The company aims to transform defense operations through innovative machine learning applications, enabling unmanned systems to perform complex tasks in dynamic and unscripted environments.

DeepMap, Inc. is a technology company that specializes in high-definition (HD) mapping and localization solutions aimed at enhancing the safety of autonomous vehicles. Founded in 2016 and headquartered in Palo Alto, California, with additional offices in Beijing and Guangzhou, the company provides essential technology for self-driving cars to navigate complex environments. DeepMap focuses on three core areas: creating precise HD maps, offering ultra-accurate real-time localization across various road types and driving conditions, and developing the supporting infrastructure for global scalability. By addressing these elements, DeepMap aims to improve the safety and efficiency of autonomous driving, making it a key player in the advancement of self-driving technology.

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. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

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 (HD) mapping and localization solutions aimed at enhancing the safety of autonomous vehicles. Founded in 2016 and headquartered in Palo Alto, California, with additional offices in Beijing and Guangzhou, the company provides essential technology for self-driving cars to navigate complex environments. DeepMap focuses on three core areas: creating precise HD maps, offering ultra-accurate real-time localization across various road types and driving conditions, and developing the supporting infrastructure for global scalability. By addressing these elements, DeepMap aims to improve the safety and efficiency of autonomous driving, making it a key player in the advancement of self-driving technology.

Shield AI Inc is a San Diego-based company that specializes in developing artificial intelligence systems for national security and first responders. Founded in 2015, the company creates products that enhance safety for service members and civilians through advanced AI technologies. Its prominent offerings include Nova, an autonomous quadcopter drone equipped with lidar technology, capable of navigating in GPS-denied environments to provide real-time imagery and mapping for military operations. Additionally, the company’s Hivemind software allows various unmanned vehicles, including drones and aircraft, to operate autonomously without GPS or human intervention, thereby maintaining maneuverability in contested settings. Shield AI also incorporates the V-BAT, a vertical takeoff and landing aircraft, which has demonstrated resilience in challenging regions such as the Black Sea and the Middle East. The company aims to transform defense operations through innovative machine learning applications, enabling unmanned systems to perform complex tasks in dynamic and unscripted environments.

Rigetti Computing is a full-stack quantum computing company that designs and manufactures quantum-integrated circuits, deploying them in low-temperature environments. The company develops proprietary control systems to execute quantum logic operations and has created software to integrate its quantum systems with existing cloud infrastructure. Rigetti's innovations include the industry's first multi-chip quantum processor, which enables scalability in quantum computing systems. The company focuses on practical applications of quantum computing, particularly in computational chemistry and machine learning, and offers the Forest platform, a comprehensive programming and execution environment for quantum and classical computing. Most of its revenue is generated from the United States.

Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

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 (HD) mapping and localization solutions aimed at enhancing the safety of autonomous vehicles. Founded in 2016 and headquartered in Palo Alto, California, with additional offices in Beijing and Guangzhou, the company provides essential technology for self-driving cars to navigate complex environments. DeepMap focuses on three core areas: creating precise HD maps, offering ultra-accurate real-time localization across various road types and driving conditions, and developing the supporting infrastructure for global scalability. By addressing these elements, DeepMap aims to improve the safety and efficiency of autonomous driving, making it a key player in the advancement of self-driving technology.

Rigetti Computing is a full-stack quantum computing company that designs and manufactures quantum-integrated circuits, deploying them in low-temperature environments. The company develops proprietary control systems to execute quantum logic operations and has created software to integrate its quantum systems with existing cloud infrastructure. Rigetti's innovations include the industry's first multi-chip quantum processor, which enables scalability in quantum computing systems. The company focuses on practical applications of quantum computing, particularly in computational chemistry and machine learning, and offers the Forest platform, a comprehensive programming and execution environment for quantum and classical computing. Most of its revenue is generated from the United States.

Udacity is an online learning platform founded in 2011 by David Stavens, Mike Sokolsky, and Sebastian Thrun, headquartered in Mountain View, California. Originating from free computer science courses at Stanford University, Udacity focuses on providing vocational training in high-demand fields such as artificial intelligence, machine learning, data science, and cloud computing. The platform offers various nanodegree programs, including web development, data analysis, and mobile app development, designed to equip learners with skills sought by employers. Udacity's mission is to democratize education, making it accessible and affordable for individuals aiming to enhance their career prospects. The company collaborates with technology firms to ensure its curriculum aligns with industry needs, thereby preparing learners for the evolving job market. Despite facing challenges in its early years, Udacity has grown significantly, boasting millions of users and a valuation exceeding $1 billion, supported by investments from prominent venture capital firms.

OnCorps, Inc. is a decision guidance platform that specializes in customized solutions to enhance performance in asset management, sales, pricing, and forecasting. Founded in 2009 and headquartered in Boston, Massachusetts, with additional offices in New York and Bristol, the company serves global financial, consulting, and technology firms. By leveraging machine learning and behavioral science algorithms, OnCorps provides personalized decision-making tools that streamline financial processes and improve operational efficiency. The platform is designed to engage users and deliver comprehensive data, enabling clients to make better, more actionable decisions while reducing risk and shortening cycle times.

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.

Sensai is a content analytics platform designed to assist Sales, Operations, and Finance teams in large organizations. It enables analysts to identify and track emerging concepts within enterprise repositories as well as from public and private data sources. The platform employs innovative methods for clustering and refining results, allowing users to quickly test hypotheses and analyze patterns within the data. Additionally, Sensai offers a content-discovery language that empowers business analysts to query any dataset and obtain insights independently, without requiring assistance from data science or programming teams. This technology supports various applications, including research, governance, and anti-fraud initiatives.

Alation, Inc. is a provider of data intelligence solutions based in Redwood City, California, founded in 2012. The company specializes in an AI-driven platform that encompasses data search and discovery, data governance, data stewardship, analytics, and digital transformation. Alation's platform is recognized for its capabilities in the data catalog market, leveraging a Behavioral Analysis Engine and collaboration features to blend machine learning with human insight. This approach allows organizations to efficiently manage their data and metadata, facilitating self-service analytics and improving decision-making processes. By automating the capture of critical information regarding data usage and provenance, Alation supports businesses in navigating the complexities of data management and governance.

Wit.ai, Inc. is a company based in Palo Alto, California, that specializes in natural language processing solutions. Founded in 2013, it offers an application programming interface (API) that allows developers to integrate natural language interfaces into their applications and devices, facilitating interactions through speech or text. Wit.ai enables the creation of voice interfaces that learn from user interactions, continuously improving their understanding of human language. As of January 2015, Wit.ai operates as a subsidiary of Facebook, Inc. The platform empowers developers to build conversational applications, leveraging community contributions to enhance its capabilities.

Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

Natero is the only customer success platform to merge machine learning for predicting behavior and big data analytics for deep customer insights. This next generation solution helps SaaS customer success teams maximize customer lifetime.

Cyngn is an industrial autonomous vehicle technology company that specializes in providing solutions for self-driving vehicles. Its primary product, DriveMod, is an autonomous driving platform designed to integrate seamlessly with a variety of commercially available sensors and hardware. This vehicle-agnostic system enables a diverse range of fleets to leverage autonomy, allowing for flexible transitions between fully autonomous, remotely controlled, and manual driving modes. Cyngn addresses significant challenges faced by industrial organizations, such as labor shortages, high safety incident costs, and increasing consumer demands for eCommerce. The company’s technology offers scalable and efficient self-driving solutions tailored to the specific needs of various sectors.

Koru is a developer of a predictive recruitment processing platform that aims to enhance the talent recruitment process. The platform utilizes predictive hiring software to assess applicants based on key indicators of early career success, moving beyond traditional metrics such as GPA and college reputation. Koru has identified specific skills that are most predictive of workplace performance, known collectively as the Koru7, which includes Grit, Rigor, Impact, Teamwork, Curiosity, Ownership, and Polish. By focusing on these attributes, Koru enables recruiters to efficiently screen and select candidates, thereby improving the performance and productivity of early-career hires. The platform also supports efforts to increase workforce diversity and reduce the costs associated with poor hiring decisions. Customers using Koru have reported significant improvements, with 30-60% increases in high-performing hires and substantial annual returns on investment.

Socratic, Inc. is an education technology company based in New York that develops a homework application designed to assist students across various subjects, including science, math, humanities, history, English, and economics. The app allows users to take photos of homework questions and employs artificial intelligence to provide answers along with detailed explanations, curated web videos, and helpful resources. Aimed primarily at high school students, Socratic enhances the learning experience by offering visual aids such as graphs and other educational materials. The application is free to use and is available on both iPhone and Android platforms. Socratic, Inc. was formerly known as Vespr, Inc. and adopted its current name in May 2015. The company was incorporated in 2013 and operates as a subsidiary of Alphabet Inc.

Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

YesGraph is a developer of a referral recruiting platform that enhances business growth through high-performance invite and referral flows. The platform utilizes machine learning and social graph analysis to optimize user experience, enabling companies to obtain private-referral leads from their networks. By providing a streamlined interface, YesGraph assists enterprises in acquiring high-quality new users, thereby improving their recruitment and referral processes.

Infer, Inc. provides cloud-based applications designed to enhance the sales and marketing efforts of Fortune 1000 and high-growth companies. Founded in 2010 and headquartered in Palo Alto, California, Infer utilizes predictive analytics to analyze historical data from customer relationship management systems alongside various external signals from the web, such as company size and job openings. This approach allows Infer to identify leads with the highest likelihood of conversion, enabling companies to prioritize their sales representatives on the most promising opportunities. The platform integrates easily with existing systems, facilitating a quick setup process. As of October 2017, Infer operates as a subsidiary of Ignite Technologies, Inc.

Sift is a technology company focused on enhancing trust and safety in online interactions. Established in 2011 and headquartered in San Francisco, it provides solutions that help businesses manage and prevent fraud across over 34,000 websites and applications. By leveraging advanced technology and a vast global data network, Sift enables organizations to balance revenue growth with robust security measures. The company's offerings include digital trust and safety services that empower online businesses, alongside a commitment to fostering long-term partnerships with its clients. Sift's approach is designed to ensure that trust remains a fundamental aspect of digital interactions, contributing to safer online environments.

Jumio is an AI-driven platform specializing in digital identity management and authentication to combat fraud and financial crimes. The Jumio KYX Platform provides a suite of identity proofing services designed to establish, maintain, and reaffirm trust throughout the customer journey, from account creation to ongoing transaction monitoring. Utilizing advanced technologies such as artificial intelligence, biometrics, machine learning, and liveness detection, Jumio enables organizations to expedite customer onboarding while ensuring compliance with regulatory standards like KYC, AML, and GDPR. The company has successfully verified over 300 million identities across more than 200 countries and territories, serving a diverse range of sectors including financial services, digital currency, retail, travel, and online gaming. Founded in 2016 by Daniel Mattes and Robert Prigge, Jumio is headquartered in Palo Alto, California.

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.