SV Angel

Harvey is an artificial intelligence technology service provider for knowledge workers. It uses AI to answer legal questions and lands cash from OpenAI. The product provides lawyers with a natural language interface for their existing legal workflow. It offers a unified and intuitive interface for all legal workflows, allowing lawyers to describe tasks in plain English instead of using a suite of complex and specialized tools for niche tasks. Harvey was founded in 2022 and is based in Washington, DC.

Xaira Therapeutics is an integrated biotechnology company focused on revolutionizing drug discovery and development through the application of artificial intelligence. Headquartered in the San Francisco Bay Area, Xaira combines expertise in machine learning, extensive biological and clinical data generation, and robust therapeutic product development. By harnessing advanced AI techniques, the company aims to enhance the understanding of biological processes and improve the effectiveness of therapies. Xaira's approach encompasses all stages of drug discovery, striving to transform how diseases are treated and enabling clients to deliver innovative therapeutic solutions.

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.

Together AI is a cloud-based platform designed for constructing open-source generative AI and infrastructure for developing AI models. The company contributes cutting-edge open-source research, models, and datasets to push the boundaries of AI forward. Through its decentralized cloud services, developers and researchers at organizations of various scales are empowered to train, refine, and deploy generative AI models.

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

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.

Modular is an AI software developer platform that unifies the development and deployment of AI for everyone. The product breakthroughs will be powered by production quality infrastructure that brings together compilers and runtimes, is designed for heterogeneous computing, edge to datacenter distribution, and is focused on usability. Unifying software and hardware with a "just works" approach will save developers enormous time and increase their velocity.

Reask is a science and technology company that specializes in natural hazard modeling and climate risk analytics. It develops software designed to connect catastrophe modeling with operational forecasting, offering solutions for real-time, post-event, and long-term assessments of weather-related risks. Utilizing machine learning and artificial intelligence, Reask provides comprehensive weather risk analysis and probabilistic trend forecasting. This enables organizations to better understand their exposure to global weather-related catastrophes and assess the risk levels within their asset portfolios. By focusing on global risk mapping and catastrophe risk analytics, Reask helps companies make informed decisions in managing their risk profiles.

Contextual AI offers a pioneering approach to generative AI for the workplace.

Anthropic is an AI research company dedicated to enhancing the safety and reliability of artificial intelligence systems. It focuses on developing large-scale AI models that are interpretable and aligned with human values. The company's research encompasses various areas, including natural language processing, reinforcement learning, and code generation. Anthropic aims to create AI systems that prioritize safety and transparency, ensuring that clients can trust and understand the technology. The initial product, Claude, serves as an AI assistant designed to assist with a variety of tasks, reflecting the company's commitment to building reliable and steerable AI solutions. Through its innovative techniques and tools, Anthropic addresses the opportunities and risks associated with artificial intelligence, fostering a safer technological landscape.

Together AI is a cloud-based platform designed for constructing open-source generative AI and infrastructure for developing AI models. The company contributes cutting-edge open-source research, models, and datasets to push the boundaries of AI forward. Through its decentralized cloud services, developers and researchers at organizations of various scales are empowered to train, refine, and deploy generative AI models.

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.

Harvey is an artificial intelligence technology service provider for knowledge workers. It uses AI to answer legal questions and lands cash from OpenAI. The product provides lawyers with a natural language interface for their existing legal workflow. It offers a unified and intuitive interface for all legal workflows, allowing lawyers to describe tasks in plain English instead of using a suite of complex and specialized tools for niche tasks. Harvey was founded in 2022 and is based in Washington, DC.

Treat is a startup that uses artificial intelligence to generate personalized photo products.

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.

Adept AI is a research and product AI lab that automates software processes for developers. It's similar to robotic process automation (RPA), or software robots that use a combination of automation, computer vision, and machine learning to automate repetitive tasks like filing forms and responding to emails. Adept is creating general intelligence by allowing humans and computers to collaborate creatively.

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.

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.

Lindy is an AI assistant that can help with all your tasks, from calendar management and email drafting to contract sending and beyond.

Classet is an innovative online job search platform designed to enhance the skilled trades sector by connecting job seekers with employment opportunities and providing career training resources. The platform features a comprehensive database of job listings and offers access to a network of experienced tradespeople, facilitating connections between skilled workers and employers. By automating time-consuming recruiting tasks through voice AI, Classet enables recruiters to focus on building relationships and supporting candidates. This AI-powered solution streamlines the hiring process by automating screening and scheduling, allowing companies to hire top talent more efficiently while maintaining a strong human touch in recruitment.

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.

Kumo.AI is a SaaS AI platform that allows anyone in an organization to tackle predictive problems in business. It enables all non-technical and technical users, regardless of ML experience, to traverse all the major steps of a best practice ML lifecycle. The platform's users can immediately tackle a wide variety of predictive problems all in a single sitting, in application areas such as new customer acquisition, customer loyalty and retention, personalization and next best action, entity resolution and knowledge graph curation, abuse detection, financial crime detection, generation of ML features for data science teams, and more. Kumo.AI was founded in 2021 and is based in Mountain View, California.

Modular is an AI software developer platform that unifies the development and deployment of AI for everyone. The product breakthroughs will be powered by production quality infrastructure that brings together compilers and runtimes, is designed for heterogeneous computing, edge to datacenter distribution, and is focused on usability. Unifying software and hardware with a "just works" approach will save developers enormous time and increase their velocity.

Graft is a modern AI platform that allows data teams to create production-ready AI solutions with minimal effort. It eliminates the need for machine learning expertise, additional staffing, or infrastructure maintenance. The platform focuses on a data-centric approach, utilizing foundation models to enhance business outcomes. Additionally, Graft specializes in unstructured data analysis, harnessing artificial intelligence to process various types of data, including text, images, video, audio, and graphs. This capability enables clients to apply advanced analytical techniques effectively, ultimately driving improved results for their businesses.

Hugging Face, Inc. is an open-source platform provider specializing in machine learning technologies, founded in 2016 and headquartered in New York City. The company focuses on democratizing machine learning by facilitating collaboration on models, datasets, and applications within a community-driven environment. Hugging Face offers tools and services that allow users to create, discover, and collaborate on machine learning projects. In addition to its community platform, the company provides paid computing and enterprise solutions aimed at accelerating development processes. Through its commitment to open-source practices, Hugging Face supports users in advancing the field of machine learning.

Kumo.AI is a SaaS AI platform that allows anyone in an organization to tackle predictive problems in business. It enables all non-technical and technical users, regardless of ML experience, to traverse all the major steps of a best practice ML lifecycle. The platform's users can immediately tackle a wide variety of predictive problems all in a single sitting, in application areas such as new customer acquisition, customer loyalty and retention, personalization and next best action, entity resolution and knowledge graph curation, abuse detection, financial crime detection, generation of ML features for data science teams, and more. Kumo.AI was founded in 2021 and is based in Mountain View, California.

Reask is a science and technology company that specializes in natural hazard modeling and climate risk analytics. It develops software designed to connect catastrophe modeling with operational forecasting, offering solutions for real-time, post-event, and long-term assessments of weather-related risks. Utilizing machine learning and artificial intelligence, Reask provides comprehensive weather risk analysis and probabilistic trend forecasting. This enables organizations to better understand their exposure to global weather-related catastrophes and assess the risk levels within their asset portfolios. By focusing on global risk mapping and catastrophe risk analytics, Reask helps companies make informed decisions in managing their risk profiles.

Accelerate revenue by making simple, actionable insights available to all.

Pace operates a revenue management platform specifically designed for hotels and hostels, providing innovative solutions to address the challenges of fluctuating demand for accommodations. Founded in 2017 and based in London, the company utilizes machine learning and statistical methods to offer real-time forecasting, price sensitivity analysis, and automation. This allows hotel owners to optimize pricing strategies and sales channels, potentially increasing annual revenues by over 30%. Pace's proprietary algorithms are continuously refined by its dedicated science team, setting the company apart as a technology-driven entity within the hospitality sector. By focusing on real-time automation and responsive pricing, Pace ensures that hotel owners can effectively adapt to market changes and secure the right bookings at optimal prices.

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.

You.com is an innovative AI-powered search engine founded by leading AI researchers. It utilizes a Large Language Model to generate personalized, human-like responses to user queries. The platform features various AI tools, including YouChat, YouCode, YouWrite, and YouImagine, which assist users in web searches, content creation, image generation, and code development. Emphasizing data privacy, You.com delivers real-time results and concise summaries while filtering out irrelevant information, fake reviews, and advertisements. This focus on efficiency enables users to access accurate information quickly, enhancing productivity and streamlining complex research tasks.

Pace operates a revenue management platform specifically designed for hotels and hostels, providing innovative solutions to address the challenges of fluctuating demand for accommodations. Founded in 2017 and based in London, the company utilizes machine learning and statistical methods to offer real-time forecasting, price sensitivity analysis, and automation. This allows hotel owners to optimize pricing strategies and sales channels, potentially increasing annual revenues by over 30%. Pace's proprietary algorithms are continuously refined by its dedicated science team, setting the company apart as a technology-driven entity within the hospitality sector. By focusing on real-time automation and responsive pricing, Pace ensures that hotel owners can effectively adapt to market changes and secure the right bookings at optimal prices.

Bonsai offers an AI platform that empowers enterprises to build and deploy intelligent systems. By completely automating the management of complex machine learning libraries and algorithms, Bonsai enables enterprises to program AI models that improve system control and enhance real-time decision support. Businesses use these models today to increase automation and improve operational efficiency of industrial systems including robotics, manufacturing, supply chain, logistics, energy and utilities. Based in Berkeley, CA, Bonsai is backed by leading investors including NEA, Microsoft Ventures, ABB, Samsung NEXT and Siemens.

Noteable is a collaborative notebook platform designed for data-driven teams, allowing them to visualize and analyze data effectively. The platform offers a no-code environment that facilitates collaboration and empowers users to leverage analytics and machine learning capabilities. By providing a streamlined experience for data analytics and data science, Noteable enables teams to work with data in a manner that aligns with their preferences, ultimately driving better business outcomes.

Helm.ai Inc. specializes in designing and developing artificial intelligence software solutions for autonomous navigation across various platforms, including self-driving cars, drones, and consumer robots. Established in 2016 and based in Redwood City, California, the company focuses on next-generation AI applications for advanced driver-assistance systems (ADAS) and fully autonomous driving. Helm.ai's technology employs an unsupervised learning approach, allowing for the training of neural networks without relying on extensive fleet data, simulation, or manual annotation. This innovative method aims to enhance the safety and scalability of autonomous technologies, and the company collaborates with global automakers on projects that are set for production. Helm.ai's offerings include full-stack real-time AI solutions, deep neural networks for both highway and urban driving, and development tools powered by its proprietary Deep Teaching™ technology.

Outlier offers analytic solutions that enable businesses to make better decisions. Moreover, Outlier monitors business data and notifies the user when unexpected changes occur.

Grid.ai, Inc. is a technology company that provides a platform for training artificial intelligence (AI) models using cloud-based graphics processing units (GPUs) and tensor processing units (TPUs). Founded in 2019 and headquartered in New York, the company offers tools such as Grid Train, which facilitates AI research by simplifying model training and iteration, and Grid View, a web application for monitoring and managing infrastructure. Additionally, it provides Tensorboard for experiment analysis. Grid.ai aims to support machine learning engineers, data scientists, and AI researchers by enabling the development of advanced AI models and end-to-end machine learning systems, known as Lightning Apps, that are multi-cloud and fault-tolerant. The company gained significant funding in October 2020, which has bolstered its mission to enhance AI capabilities for users.

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

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.

Determined AI is a machine learning tech company that revolutionizes the way deep models are trained and deployed. The company reduces time-to-market by increasing developer productivity, improving resource (GPU) utilization, and reducing risk.

Merlin Labs is an innovative company focused on creating autonomous flight technology for advanced air travel, primarily utilizing fixed-wing aircraft. Founded in 2018 and headquartered in Boston, Massachusetts, the company develops a sophisticated aircraft autonomy system that employs artificial intelligence and machine learning, akin to the technology used in driverless cars. This system aims to facilitate the pilotless transportation of goods and eventually people, establishing a new infrastructure for aerial mobility.

Kodiak Robotics, Inc. is focused on developing autonomous technology specifically for long-haul trucking. Founded in 2018 and based in Mountain View, California, the company specializes in creating self-driving trucks designed to operate on highway routes. Kodiak Robotics employs advanced sensor fusion systems and innovative mapping solutions to enable its vehicles to manage all aspects of highway driving. This technology aims to enhance network efficiency and reduce operational costs for businesses in the logistics sector.

Outlier offers analytic solutions that enable businesses to make better decisions. Moreover, Outlier monitors business data and notifies the user when unexpected changes occur.

Hugging Face, Inc. is an open-source platform provider specializing in machine learning technologies, founded in 2016 and headquartered in New York City. The company focuses on democratizing machine learning by facilitating collaboration on models, datasets, and applications within a community-driven environment. Hugging Face offers tools and services that allow users to create, discover, and collaborate on machine learning projects. In addition to its community platform, the company provides paid computing and enterprise solutions aimed at accelerating development processes. Through its commitment to open-source practices, Hugging Face supports users in advancing the field of machine learning.

Etleap Inc., founded in 2012 and headquartered in San Francisco, California, offers an innovative ETL solution designed to streamline the creation of data pipelines. The company's software allows data analytics teams to efficiently collect, combine, and manage data from various sources without the need for extensive coding or engineering expertise. By automating much of the ETL setup and maintenance, Etleap simplifies these processes into manageable tasks that can be completed in about ten minutes, empowering analysts to take ownership of their data projects. This approach not only reduces the time required to integrate data but also enhances the overall productivity of analytics teams, ultimately increasing the business value derived from big data.

Amperon is a provider of forecasting and analytics solutions that harness real-time energy data to deliver precise electricity demand forecasts. With over 70 million smart meters installed across the country, the company capitalizes on previously untapped data by utilizing artificial intelligence to analyze 15-minute resolution electricity consumption for residential, commercial, and industrial ratepayers. This innovative approach enables energy suppliers and utilities to manage energy costs more efficiently, contributing to the advancement of a smarter energy grid.

The Spell platform streamlines Data Science and Machine Learning for teams of any size. A flexible end-to-end MLOps platform, Spell's platform gives teams the tools to efficiently prepare, train, deploy, and manage machine learning projects. Spell is built for team collaboration, project monitoring, and experiment reproducibility. Streamline DevOps tasks required to manage and scale machine learning projects. Save time on setup and management of ML projects with simple command-line tools and an intuitive web console. Spell takes care of machine management and environment setup giving you more time for experimentation. Teams can access and share the same data, experiments, and results. Spell’s platform is straightforward, making it easy for new hires to get up to speed. Spell was founded in 2017 and is based in New York City.

Reverie Labs is a Boston-based company focused on improving drug development processes for pharmaceutical firms through advanced machine learning techniques. The company utilizes these algorithms to predict the bio physicochemical properties of drug candidates, thereby accelerating preclinical development. Reverie Labs specializes in lead generation and optimization by creating structure-based predictive models that assess the potency of small molecules. It also offers a multi-objective molecular optimizer that generates new molecules while ensuring they maintain both potency and synthesizability. This approach allows for the prioritization and optimization of drug candidates, facilitating their progression to animal and human clinical trials more efficiently.

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.

Envisagenics, Inc. is a biotechnology company founded in 2013 and headquartered in Huntington, New York. It specializes in the development of a predictive analytics platform aimed at accelerating the discovery of RNA therapeutics. The company leverages advanced artificial intelligence and machine learning algorithms to analyze transcriptomic data, helping researchers identify and validate potential drug targets. Envisagenics' flagship technology, SpliceCore, is a cloud-based platform that utilizes RNA splicing analytics to predict drug targets and biomarkers, addressing the complexities of biomedical data. Given that over 30 million people in the U.S. suffer from genetic diseases or cancers related to RNA splicing errors, the company's mission is to streamline the development of innovative therapeutic solutions. By providing an in-silico RNA therapeutics discovery platform, Envisagenics enhances the efficiency of drug development processes, reducing time, cost, and risk associated with bringing new therapies to market through partnerships with biopharmaceutical companies.

One Concern, Inc. is a technology company that specializes in disaster preparedness and response through the use of artificial intelligence and machine learning. Founded in 2015 and headquartered in Menlo Park, California, with an additional office in Tokyo, Japan, the company offers a platform that generates post-disaster damage maps and daily situational reports. Its key product, Seismic Concern, focuses on earthquake preparedness and response, while the platform addresses a wide range of natural disasters, including hurricanes, floods, and fires. One Concern's innovative approach combines hazard modeling and resilience analytics to assist governments and organizations in understanding and managing risks associated with climate change and other chronic stresses. By delivering tools that support the lifecycle of disaster management—from preparedness to recovery—One Concern aims to reduce the impact of disasters on communities and promote resilience. Recognized as a 2019 Technology Pioneer, the company is also part of the World Economic Forum’s Global Innovators community.

Armorblox is a venture-backed stealth cybersecurity startup that secures the human layer by using the latest techniques in machine learning (ML) and artificial intelligence (AI) to protect organizations against identity-based attacks and data loss.

RankScience is a continuous-optimization platform focused on enhancing website search engine optimization (SEO) through automated A/B testing and data science. The platform automates the execution of numerous A/B tests, allowing for the identification of effective changes that can enhance the search rankings of clients' web pages in organic search results. By streamlining the optimization process, RankScience enables businesses to improve the delivery and visibility of their web content, ultimately driving better performance in search engine results.

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

Hugging Face, Inc. is an open-source platform provider specializing in machine learning technologies, founded in 2016 and headquartered in New York City. The company focuses on democratizing machine learning by facilitating collaboration on models, datasets, and applications within a community-driven environment. Hugging Face offers tools and services that allow users to create, discover, and collaborate on machine learning projects. In addition to its community platform, the company provides paid computing and enterprise solutions aimed at accelerating development processes. Through its commitment to open-source practices, Hugging Face supports users in advancing the field of machine learning.

Helm.ai Inc. specializes in designing and developing artificial intelligence software solutions for autonomous navigation across various platforms, including self-driving cars, drones, and consumer robots. Established in 2016 and based in Redwood City, California, the company focuses on next-generation AI applications for advanced driver-assistance systems (ADAS) and fully autonomous driving. Helm.ai's technology employs an unsupervised learning approach, allowing for the training of neural networks without relying on extensive fleet data, simulation, or manual annotation. This innovative method aims to enhance the safety and scalability of autonomous technologies, and the company collaborates with global automakers on projects that are set for production. Helm.ai's offerings include full-stack real-time AI solutions, deep neural networks for both highway and urban driving, and development tools powered by its proprietary Deep Teaching™ technology.

Cerebras Systems Inc. is a company based in Los Altos, California, that specializes in manufacturing artificial intelligence chips tailored for deep learning applications. Founded in 2016, Cerebras Systems is dedicated to developing advanced computing systems designed to accelerate deep learning tasks. The company integrates its expertise in computer architecture and machine learning to create a new class of computer systems that significantly enhance AI performance. By employing innovative design principles, Cerebras Systems aims to transform the landscape of artificial intelligence through its pioneering technology.

Since 2014, TalkIQ has offered voice‐to‐text transcription and analytics for clients across a wide variety of industries. Using cutting edge deep‐learning algorithms, proprietary speech recognition and predictive analytics technology, we give our clients visibility into all of their phone conversations, extracting insights for uses ranging from sales optimization, to customer service, compliance, and more. Our recommendations enable teams to save time and maximize productivity, though quick access to action-oriented data & analysis. TalkIQ is backed by prominent Silicon Valley VC firms and is helmed by an advisory board with decades of experience in the speech and language recognition fields.

Skymind is a technology company that specializes in artificial intelligence and machine learning, primarily through its development of Deeplearning4j, an open-source deep-learning framework for the Java Virtual Machine (JVM). The company focuses on providing tools for data analysis in industrial operations and supply chains, enabling businesses to leverage large-scale data for rapid processing and analysis. Skymind's platform supports various open-source frameworks, facilitating the creation of predictive models and tools for enhanced decision-making in areas such as manufacturing, supply chain optimization, and machine perception. By integrating advanced AI capabilities, Skymind helps organizations optimize their operations through improved data analytics and decision-making processes. Founded in 2014 and based in Alameda, California, Skymind aims to empower users with intuitive applications that utilize deep reinforcement learning for complex industrial scenarios.

Skymind is a technology company that specializes in artificial intelligence and machine learning, primarily through its development of Deeplearning4j, an open-source deep-learning framework for the Java Virtual Machine (JVM). The company focuses on providing tools for data analysis in industrial operations and supply chains, enabling businesses to leverage large-scale data for rapid processing and analysis. Skymind's platform supports various open-source frameworks, facilitating the creation of predictive models and tools for enhanced decision-making in areas such as manufacturing, supply chain optimization, and machine perception. By integrating advanced AI capabilities, Skymind helps organizations optimize their operations through improved data analytics and decision-making processes. Founded in 2014 and based in Alameda, California, Skymind aims to empower users with intuitive applications that utilize deep reinforcement learning for complex industrial scenarios.

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.

Kite is a technology company that specializes in artificial intelligence tools designed to enhance the coding experience for developers. Founded in 2014 and based in San Francisco, Kite offers a plugin that integrates with various integrated development environments (IDEs), including Atom, PyCharm, Sublime, Vim, and VS Code. This plugin utilizes machine learning to provide developers with intelligent code completions, examples, and documentation relevant to the libraries and terminal commands they are using. Additionally, Kite improves coding efficiency by detecting simple errors and suggesting fixes, effectively acting as an artificial pair programmer that leverages the vast knowledge available on the internet to support developers in their work.

Crunchbase is a comprehensive platform that assists over 80 million investors, analysts, and dealmakers in identifying and acting on private market opportunities through detailed analysis of company activities. It enables users to discover significant companies via its homepage, Crunchbase Scout, and search functionalities. The platform offers proprietary predictions and insights on organizational profiles, facilitating informed decision-making. Additionally, Crunchbase enhances team efficiency with various features such as data exports, administrative tools, and integrations. By providing unique private company intelligence, Crunchbase bridges the gap between data access and actionable business decisions, ultimately supporting users in navigating the complexities of the investment landscape.

Outlier offers analytic solutions that enable businesses to make better decisions. Moreover, Outlier monitors business data and notifies the user when unexpected changes occur.

Cyberfend offers a robust security solution to protect your web and mobile applications from sophisticated attacks and fraudulent activity. Cyberfend uses a new security paradigm – human cognitive science combined with advanced machine learning. The solution detects account takeover, payment fraud and stolen credentials, in real time with near zero false positives. Cyberfend's Cognitive Security Engine solves several challenging problems with zero false positives. Cyberfend's BotFender is the most comprehensive bot/automation detection service available in the market today.

LiftIgniter is a machine learning personalization company based in San Francisco, California, that offers a predictive recommendation platform designed to enhance user engagement and conversion rates. By utilizing data science, LiftIgniter's technology analyzes user interactions in real time, allowing businesses to tailor their websites and applications to better meet customer needs. This personalization engine interprets interest signals from users, facilitating optimized communication and improved sales outcomes. LiftIgniter aims to create intelligent and dynamic experiences across various customer touchpoints, helping businesses connect more effectively with their audiences.

Clara Labs, founded in 2014 and based in San Francisco, California, developed an online platform named Clara that automates meeting scheduling via email. The service is designed for both enterprises and individual employees, facilitating efficient communication and organization. Clara Labs is recognized for its innovative work in human-in-the-loop natural language processing systems, contributing to the development of a conversational user experience. In 2019, the company was acquired by TopFunnel, which continues to operate the Clara service, while Twitter acquired its research and development talent along with some intellectual property for content moderation purposes. Clara Labs operates as a subsidiary of Third Street Data, Inc.

Course Hero, Inc. operates an online learning platform that provides students and educators with access to a wide range of study materials. Founded in 2006 and based in Redwood City, California, the platform offers an extensive database of student-uploaded resources, including lecture notes, study guides, textbook solutions, practice problems, exams, and video lectures from various institutions. Additionally, Course Hero features an educator platform for sharing materials and collaborating, along with a flashcard application that enables users to search for existing sets or create their own. The company also connects students with expert tutors who respond to academic queries, fostering a comprehensive learning environment.

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.

Checkr, Inc. is a technology company specializing in the background check industry. Founded in 2014 and headquartered in San Francisco, California, Checkr offers a range of screening services, including criminal record checks, driving checks, and identity verification. The company utilizes advanced technology, including artificial intelligence and machine learning, to deliver faster and more efficient background checks compared to traditional providers. Its platform not only enhances hiring transparency and fairness but also assists businesses in complying with regulations and improving operational efficiency. Checkr serves various sectors, including financial services, healthcare, retail, and technology, providing solutions that cater to the evolving needs of the workforce.

MileIQ is a mobile application that specializes in automatic mileage tracking for individuals and businesses. By utilizing drive-detection technology, the app automatically logs users' drives and calculates mileage expenses, making it particularly useful for self-employed workers seeking deductions and large companies managing mileage reports. MileIQ offers accurate mileage recording and reimbursement services, allowing users to sync their drive data and securely store their driving history in the cloud. Owned by Microsoft, MileIQ aims to simplify and enhance the mileage tracking process for its users.

Quettra is a mobile intelligence company focusing on personalizing mobile experiences and monetization by understanding user’s interactions with their phone from a very deep operating system level view.

Hyperscience is a technology company that specializes in AI-based enterprise software aimed at automating office work processes. The software utilizes machine learning to handle structured and semi-structured documents, facilitating tasks such as data entry, extraction of key details from invoices, and reconciliation of compliance-driven data. By automating these complex processes, Hyperscience helps organizations and governments enhance productivity and modernize essential operations.

Nervana focuses on building technology to power the next generation of intelligent applications. Founded by experts in machine learning, neuroscience, processor architecture, and chip design, Nervana Systems is bringing unprecedented scale and simplicity to the application of brain-inspired algorithms. It was founded in 2014 and headquartered in San Diego, California.

Fundbox is an AI-powered financial platform based in San Francisco, established in 2013 by co-founders Eyal Shinar, Tomer Michaeli, and Yuval Ariav. The company provides small businesses with quick and intuitive access to credit, aiming to enhance customer growth within the small business economy. Fundbox utilizes machine learning and deep data analytics to offer invoice financing and lines of credit, allowing small and mid-sized enterprises to efficiently accelerate cash flow against outstanding invoices. This approach not only improves payment terms but also helps increase average order volumes and close rates for its clients.

Theorem uses machine learning, data science, and software engineering to invest in loans originated by online platforms. Hugh Edmundson (CEO) is formerly a member of Morgan Stanley’s credit derivatives team, and Abeer Agrawal (CTO) is a former Googler and employee #1 at a startup called MobileSpan (which got acquired by Dropbox). We started off with YC's winter 2014 batch, managing $50k in assets. Today we are a company of almost 30 employees managing over $800 million AUM, and Theorem’s assets have increased by more than 50% since year-end 2017.

Epinomics is revolutionizing personalized medicine through scientific research, deep analytics, and clinical application development.

Paravision specializes in face recognition technology, providing solutions for security device manufacturers, systems integrators, and financial services firms. Founded in 2013 and based in San Francisco, the company, formerly known as Ever AI, rebranded to Paravision in 2019. Its Vision AI software leverages advanced deep learning to enhance security and streamline user experiences across various applications. Paravision's offerings include tools for age, gender, emotion, and ethnicity detection, which help enterprises improve security, enhance customer retention, and facilitate customer authentication. The company has a strong record of performance, consistently ranking among the top global performers in NIST evaluations for face recognition technology, excelling in areas such as verification and identification. Paravision aims to advance accuracy, security, and inclusivity in face recognition while providing scalable, modular solutions suitable for both edge and cloud 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.

Datahug provides next-generation sales software that applies data science to a sales team's existing workflow to increase efficiency, improve predictability and drive revenue. With Datahug, deal activity is automatically entered into a company's CRM and analyzed with machine learning algorithms. The results are used to provide useful insights for every member of the sales team. Sales reps see prescriptive steps to close their deals based on the patterns of successful deals in the past. Sales managers get real-time insight on the state of the deals in their pipeline. And Sales VPs improve their forecast accuracy to 95%. Overall, organizations using Datahug improve their close rates by an average of 21%.

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.

Kaggle Inc. is a prominent platform that facilitates data prediction competitions, allowing organizations to submit their datasets for analysis by a global community of data scientists. Established in 2010 and headquartered in San Francisco, Kaggle serves a diverse range of sectors, including pharmaceuticals, financial services, energy, information technology, and retail. The platform not only hosts competitions but also provides access to datasets, models, and coding resources, enabling users to collaboratively execute and refine their data science projects. Additionally, Kaggle Prospect, one of its offerings, assists companies and government entities in transforming raw data into actionable insights. As a subsidiary of Google, Kaggle continues to foster innovation in data science, positioning itself as a vital resource for professionals seeking to address complex challenges across various industries.

Prism is a cloud-based video intelligence platform that transforms ordinary cameras into powerful business tools. Through computer vision, A.I., and machine learning, Prism unlocks valuable information from video that can be immediately understood, shared and acted upon. Leading companies in 80 countries around the world use Prism to better understand, manage and grow their business

Course Hero, Inc. operates an online learning platform that provides students and educators with access to a wide range of study materials. Founded in 2006 and based in Redwood City, California, the platform offers an extensive database of student-uploaded resources, including lecture notes, study guides, textbook solutions, practice problems, exams, and video lectures from various institutions. Additionally, Course Hero features an educator platform for sharing materials and collaborating, along with a flashcard application that enables users to search for existing sets or create their own. The company also connects students with expert tutors who respond to academic queries, fostering a comprehensive learning environment.

TellApart, Inc. operates a personalized predictive marketing platform that enables retailers to enhance customer experiences and drive sales through data-driven marketing strategies. The platform integrates customer data from both online and offline sources to create comprehensive profiles, allowing for personalized messaging across various digital channels, including display ads, social media, and email. TellApart's services include identity network solutions, predictive engines to assist customers in product discovery, and self-learning algorithms for optimizing marketing efforts. The company's technology supports initiatives such as cross-device retargeting and audience targeting, effectively delivering relevant advertisements to consumers in real-time. Established in 2009 and headquartered in San Francisco, California, TellApart has successfully generated significant revenue for prominent retail brands and operates as a subsidiary of Twitter, Inc. since 2015.

TellApart, Inc. operates a personalized predictive marketing platform that enables retailers to enhance customer experiences and drive sales through data-driven marketing strategies. The platform integrates customer data from both online and offline sources to create comprehensive profiles, allowing for personalized messaging across various digital channels, including display ads, social media, and email. TellApart's services include identity network solutions, predictive engines to assist customers in product discovery, and self-learning algorithms for optimizing marketing efforts. The company's technology supports initiatives such as cross-device retargeting and audience targeting, effectively delivering relevant advertisements to consumers in real-time. Established in 2009 and headquartered in San Francisco, California, TellApart has successfully generated significant revenue for prominent retail brands and operates as a subsidiary of Twitter, Inc. since 2015.

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

Kanjoya, Inc. operates a workforce intelligence and management platform designed for enterprise companies. The company specializes in employee engagement solutions that allow organizations to capture feedback, analyze results in real-time, and distribute vital intelligence. Its key offerings include Kanjoya Perception, which assesses employee emotions, attitudes, and intentions while predicting behaviors; a Workday directory that facilitates employee surveys and performance reviews; and Perception for Performance, a tool that helps managers evaluate, reward, and motivate employees. By leveraging advanced artificial intelligence, natural language processing, and machine learning, Kanjoya provides insights into the motivations and emotions driving business outcomes. Founded in 2006 and based in San Francisco, California, Kanjoya was previously known as Experience Project, Inc. The company has been a subsidiary of The Ultimate Software Group, Inc. since September 2016.

Aster Data Systems specializes in big data management and analysis, offering innovative solutions for data-driven applications. The company's flagship product, nCluster, is a pioneering massively parallel processing (MPP) data warehouse that integrates application logic directly within the database engine, enabling rapid and deep analysis of large data sets. This "applications-within" approach leverages Aster's proprietary SQL-MapReduce technology to facilitate efficient parallelized data processing. Aster Data caters to various industries, with notable clients including Coremetrics, MySpace, Akamai, ShareThis, and Full Tilt Poker. The company is headquartered in San Carlos, California, and is supported by several prominent venture capital firms and industry leaders. In addition to its core database offerings, Aster Data provides a range of services, including analytics, data loading performance, query optimization, and consulting, to enhance the overall user experience and effectiveness of its solutions.