GV Investment Managers

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.

Quadratic is a company based in Boulder, Colorado, that has developed a real-time spreadsheet designed to enhance data accessibility. Its platform allows users to pull data from various sources, including SaaS applications, databases, CSV files, and APIs. Users can manipulate and analyze this data using a range of data science tools such as Python, Pandas, SQL, JavaScript, and Excel formulas. By integrating data science and visualization capabilities, Quadratic aims to streamline the process of working with data and improve user experience in data analysis.

Seismic Therapeutic is a biotechnology company focused on accelerating immunology drug development through the integration of machine learning in the biologics discovery process. Its IMPACT™ platform addresses key challenges in biologics discovery by combining structural biology, protein engineering, and translational immunology. This innovative approach aims to create optimized therapies more efficiently, ultimately benefiting patients with autoimmune diseases and disorders linked to adaptive immune system dysregulation. With a robust pipeline of biologics, Seismic Therapeutic is committed to enhancing the speed and efficacy of drug development in the field of immunology.

Layer Health focuses on resolving the healthcare information problem by utilizing artificial intelligence to execute any clinical, administrative, or research work that involves chart review from unstructured data.

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.

Deepset is a company specializing in natural language processing (NLP) solutions, focusing on leveraging the latest advancements in machine learning to create real-world applications. It is known for developing the Haystack open-source framework, which facilitates the deployment of NLP tasks, and for offering deepset Cloud, a platform designed for enterprise AI teams. Since its inception in 2018, deepset has supported numerous AI teams globally by providing reliable, open-source technology and tailored solutions. The company's software emphasizes the use of transfer learning to enhance model performance while minimizing the amount of training data required, thereby enabling users to unlock value from diverse text sources effectively.

Resistant AI specializes in fraud prevention software aimed at safeguarding automated financial systems from manipulation and attacks. The company develops solutions that protect vital processes such as online credit scoring, fraud detection, and anti-money laundering systems from organized fraudsters. By focusing on the risks associated with machine learning and artificial intelligence, Resistant AI assists banks, insurance companies, and e-commerce entities in securing their digital transactions. Their technology enables these organizations to implement identity forensics, thereby enhancing the integrity of automated financial services and mitigating the threats posed by advanced fraud.

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.

Paradigm is rebuilding the clinical research ecosystem by developing a platform that allows all patients equitable access to trials while improving trial efficiency and lowering barriers to participation for healthcare providers. It is an innovative company that is dedicated to transforming the clinical research ecosystem. Their mission is to create a more accessible and equitable healthcare system by developing a platform that enables patients from diverse backgrounds to participate in clinical trials. Clinical trials are essential for testing and developing new drugs, therapies, and medical devices, but historically, they have been plagued by inefficiencies, barriers to access, and inequities in patient representation. Paradigm aims to solve these challenges by creating a platform that uses technology and data-driven insights to streamline the clinical trial process, making it more efficient, cost-effective, and inclusive. The Paradigm platform is designed to facilitate seamless communication and collaboration among all stakeholders involved in clinical research, including patients, healthcare providers, pharmaceutical companies, and regulatory agencies. By leveraging technology such as AI, machine learning, and predictive analytics, Paradigm can identify and match eligible patients to clinical trials, streamline the recruitment and enrollment process, and provide real-time data insights to all stakeholders. Overall, Paradigm's innovative approach to clinical research has the potential to revolutionize the healthcare industry by improving patient outcomes, reducing healthcare costs, and accelerating the development of new treatments and therapies.

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.

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.

Deepset is a company specializing in natural language processing (NLP) solutions, focusing on leveraging the latest advancements in machine learning to create real-world applications. It is known for developing the Haystack open-source framework, which facilitates the deployment of NLP tasks, and for offering deepset Cloud, a platform designed for enterprise AI teams. Since its inception in 2018, deepset has supported numerous AI teams globally by providing reliable, open-source technology and tailored solutions. The company's software emphasizes the use of transfer learning to enhance model performance while minimizing the amount of training data required, thereby enabling users to unlock value from diverse text sources effectively.

Viz helps physicians to identify anomalies in brain scans through machine learning. The company leverages advanced deep learning to communicate time-sensitive information about stroke patients straight to a specialist who can intervene and treat them. It uses deep learning algorithms to identify a suspected large vessel occlusion, a particularly disabling type of stroke, in a CT scan and alerts the stroke team specialist within minutes. Viz has developed deep learning algorithms to analyze brain scans for large vessel occlusions (LVOs), a disabling type of stroke. The company also allows the stroke center’s clinicians to rapidly share images back and forth. Viz's mission is to fundamentally improve how healthcare is delivered in the world, through intelligent software that promises to reduce the time to treatment and improve access to care. Viz was founded in 2016 and is based in San Francisco, California.

LifeMine Therapeutics, Inc. is a biotechnology company focused on discovering new drug modalities from eukaryotic microbes, particularly fungi. Founded in 2016 and headquartered in Cambridge, Massachusetts, with an additional office in New York, the company employs an integrated platform that combines genomics, artificial intelligence, and synthetic biology. This innovative Avatar-Rx platform utilizes high-throughput microbiology, data science, machine learning, genome engineering, and automation to explore the fungal biosphere for novel genetically encoded molecules with specific biological functions. By integrating chemoinformatic-assisted drug optimization and advanced chemical synthesis with biotransformation, LifeMine Therapeutics aims to advance a pipeline of new medicines into development.

Overview’s inspection systems are built with Deep Learning technology which allows us to find mistakes more consistently and in a wider variety of situations.

Pecan operates a predictive analytics platform that empowers businesses to forecast critical outcomes effectively. It utilizes a low-code interface that simplifies the predictive modeling process, allowing companies to generate accurate predictions without needing in-house data scientists or engineers. Pecan automates data preparation and feature engineering, enabling users, particularly SQL-trained business intelligence analysts, to create tailored predictive models quickly. The platform supports various industries, including fintech, insurance, retail, and consumer services, by providing pre-built models and templates that align with specific business objectives. This capability allows organizations to enhance customer lifetime value, retention, conversion rates, and demand forecasting. Pecan's solutions have a significant financial impact, influencing billions of dollars in revenue across various sectors.

Resistant AI specializes in fraud prevention software aimed at safeguarding automated financial systems from manipulation and attacks. The company develops solutions that protect vital processes such as online credit scoring, fraud detection, and anti-money laundering systems from organized fraudsters. By focusing on the risks associated with machine learning and artificial intelligence, Resistant AI assists banks, insurance companies, and e-commerce entities in securing their digital transactions. Their technology enables these organizations to implement identity forensics, thereby enhancing the integrity of automated financial services and mitigating the threats posed by advanced fraud.

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.

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.

SambaNova Systems, based in Palo Alto, California, develops a technology platform that integrates hardware and software solutions for artificial intelligence and machine learning applications. Founded in 2017, the company focuses on creating systems optimized for data processing, model training, and analytics, enabling high-performance execution of machine learning tasks. SambaNova's technology is designed to be flexible and scalable, catering to various sectors such as healthcare, finance, and autonomous vehicles. By enhancing the efficiency of AI-powered algorithms, SambaNova aims to support organizations in leveraging advanced data analytics effectively.

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.

nPlan Limited specializes in artificial intelligence-driven software for construction project management. Established in 2017 and based in London, the company develops a platform that leverages machine learning to enhance schedule certainty by identifying risks and suggesting optimal execution paths. Its technology analyzes an extensive dataset of construction schedules, enabling clients to understand uncertainties and risks associated with their projects. By detecting gaps in task performance patterns, nPlan's solution provides statistical risk attribution for individual activities and offers recommendations to mitigate residual issues. This approach allows clients to effectively manage risks and capitalize on opportunities within their construction projects.

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.

Nanit team is a tight-knit collection of scientists, parents and designers—experts in the first beautiful months of human life. They have developed advanced computer vision and machine learning algorithms to help us measure human behavior. They use this knowledge and technology to create innovative products that are safer and smarter, for parents and babies everywhere. Their team comes from great companies like Applied Materials, Diapers.com, Philips, Time Warner and Tiny Love, where they've focused on building brands and products people love.

LifeMine Therapeutics, Inc. is a biotechnology company focused on discovering new drug modalities from eukaryotic microbes, particularly fungi. Founded in 2016 and headquartered in Cambridge, Massachusetts, with an additional office in New York, the company employs an integrated platform that combines genomics, artificial intelligence, and synthetic biology. This innovative Avatar-Rx platform utilizes high-throughput microbiology, data science, machine learning, genome engineering, and automation to explore the fungal biosphere for novel genetically encoded molecules with specific biological functions. By integrating chemoinformatic-assisted drug optimization and advanced chemical synthesis with biotransformation, LifeMine Therapeutics aims to advance a pipeline of new medicines into development.

Ursa Computing is a developer of data-science tools aimed at enhancing the efficiency and effectiveness of data teams. The company focuses on creating enterprise products and services that facilitate machine learning and artificial intelligence projects. Ursa Computing offers open-source developer tools designed to improve data access, preparation, cleaning, analytics, and feature engineering, addressing essential tasks in the data science lifecycle. By advancing high-productivity, high-performance, and cross-language software, Ursa Computing seeks to elevate the capabilities of data scientists and streamline their workflows.

Benson Hill is a crop improvement company that unlocks the natural diversity of plants and empowers innovators with a revolutionary crop design platform to develop healthier and more sustainable food and ingredients. Benson Hill empowers innovators to develop more healthy, flavorful, and sustainable food by unlocking the natural genetic diversity of plants. Benson Hill’s CropOS™ platform combines machine learning and big data with breeding techniques and plant biology to drastically accelerate and simplify the product development process.

At Pixie Labs, we build machine intelligence systems which empower developers to engineer the future. Our first product, Pixie, helps developers explore, monitor, secure and manage their applications without the need to change code, manually set up ad hoc dashboards or compromise on how much performance data they can observe.

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

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

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.

SambaNova Systems, based in Palo Alto, California, develops a technology platform that integrates hardware and software solutions for artificial intelligence and machine learning applications. Founded in 2017, the company focuses on creating systems optimized for data processing, model training, and analytics, enabling high-performance execution of machine learning tasks. SambaNova's technology is designed to be flexible and scalable, catering to various sectors such as healthcare, finance, and autonomous vehicles. By enhancing the efficiency of AI-powered algorithms, SambaNova aims to support organizations in leveraging advanced data analytics effectively.

Orbital Insight, Inc. is a geospatial analytics company based in Palo Alto, California, established in 2013. The firm develops a cloud-based platform that employs artificial intelligence and machine learning to analyze vast amounts of geospatial data, including satellite imagery, mobile location signals, and other Internet of Things data. This technology enables organizations, including businesses, governments, and NGOs, to gain insights into societal and economic trends that may not be visible to the naked eye. Orbital Insight's products, such as Orbital Insight GO, GO Consumer, and GO Energy, provide users with actionable intelligence regarding infrastructure, supply chain dynamics, and energy resources. By transforming billions of data points into clear, usable information, the company supports data-driven decision-making in various sectors.

Viz helps physicians to identify anomalies in brain scans through machine learning. The company leverages advanced deep learning to communicate time-sensitive information about stroke patients straight to a specialist who can intervene and treat them. It uses deep learning algorithms to identify a suspected large vessel occlusion, a particularly disabling type of stroke, in a CT scan and alerts the stroke team specialist within minutes. Viz has developed deep learning algorithms to analyze brain scans for large vessel occlusions (LVOs), a disabling type of stroke. The company also allows the stroke center’s clinicians to rapidly share images back and forth. Viz's mission is to fundamentally improve how healthcare is delivered in the world, through intelligent software that promises to reduce the time to treatment and improve access to care. Viz was founded in 2016 and is based in San Francisco, California.

Digit is a finance app that analyzes your spending habits and automatically saves the perfect amount every day. The platform automates the day-to-day work of managing money so you don’t have to think about it. They help eliminate the stress and anxiety people feel about their finances while helping them build a proven foundation for the future they’re trying to achieve. Digit keeps your money socked away in a separate account and your savings will depend on a number of variables, including how much money you keep in your checking account and what your saving and spending pattern. Their technology combines machine learning and behavioral psychology to provide a financial assistant you can trust to work toward your goals while you spend your time and effort on what’s most meaningful in your life. It saves the amount of money every day based on your spending and income and tells you the intelligent timeline for achieving them. Digit was founded in 2013 and is headquartered in San Francisco, California, United States.

SambaNova Systems, based in Palo Alto, California, develops a technology platform that integrates hardware and software solutions for artificial intelligence and machine learning applications. Founded in 2017, the company focuses on creating systems optimized for data processing, model training, and analytics, enabling high-performance execution of machine learning tasks. SambaNova's technology is designed to be flexible and scalable, catering to various sectors such as healthcare, finance, and autonomous vehicles. By enhancing the efficiency of AI-powered algorithms, SambaNova aims to support organizations in leveraging advanced data analytics effectively.

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.

Benson Hill is a crop improvement company that unlocks the natural diversity of plants and empowers innovators with a revolutionary crop design platform to develop healthier and more sustainable food and ingredients. Benson Hill empowers innovators to develop more healthy, flavorful, and sustainable food by unlocking the natural genetic diversity of plants. Benson Hill’s CropOS™ platform combines machine learning and big data with breeding techniques and plant biology to drastically accelerate and simplify the product development process.

Imagen enables Primary Care providers to become technology-enabled multispecialty practices, powering a successful transition from fee-for-service to value-based care. Its comprehensive platform includes in-office diagnostic testing, diagnostic interpretations powered by proprietary FDA-cleared machine learning software, and virtual specialist consults. Its platform empowers Primary Care providers to achieve healthcare’s quadruple aim of increasing quality, lowering costs, and improving the patient and provider experience.

Viz helps physicians to identify anomalies in brain scans through machine learning. The company leverages advanced deep learning to communicate time-sensitive information about stroke patients straight to a specialist who can intervene and treat them. It uses deep learning algorithms to identify a suspected large vessel occlusion, a particularly disabling type of stroke, in a CT scan and alerts the stroke team specialist within minutes. Viz has developed deep learning algorithms to analyze brain scans for large vessel occlusions (LVOs), a disabling type of stroke. The company also allows the stroke center’s clinicians to rapidly share images back and forth. Viz's mission is to fundamentally improve how healthcare is delivered in the world, through intelligent software that promises to reduce the time to treatment and improve access to care. Viz was founded in 2016 and is based in San Francisco, California.

Tamr, Inc. is an enterprise data unification company that specializes in providing data management solutions. The company offers a platform that utilizes machine learning combined with human expertise to identify and integrate diverse internal and external data sources, thereby enabling organizations to manage siloed data effectively. Tamr's services include enterprise data preparation, clinical data conversion, procurement optimization, and customer data integration, catering to various sectors such as financial services, life sciences, government, and manufacturing. Founded in 2013 by experienced professionals in the database industry, Tamr is headquartered in Cambridge, Massachusetts, with additional offices in major cities including New York, Seattle, San Francisco, Washington, D.C., and London. The company aims to deliver valuable insights from data, supporting clients in achieving successful business outcomes.

Celsius Therapeutics is a biotechnology company focused on developing precision medicines for patients with cancer and autoimmune diseases. Founded in 2018 and based in Cambridge, Massachusetts, the company employs a team of scientists, technologists, computational biologists, clinicians, and drug hunters. Utilizing single-cell genomic analysis and machine learning techniques, Celsius Therapeutics aims to discover and create innovative therapies that can lead to significant improvements in patient outcomes. The company's research efforts are centered on identifying new drug candidates that address unmet medical needs in the therapeutic landscape.

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.

SambaNova Systems, based in Palo Alto, California, develops a technology platform that integrates hardware and software solutions for artificial intelligence and machine learning applications. Founded in 2017, the company focuses on creating systems optimized for data processing, model training, and analytics, enabling high-performance execution of machine learning tasks. SambaNova's technology is designed to be flexible and scalable, catering to various sectors such as healthcare, finance, and autonomous vehicles. By enhancing the efficiency of AI-powered algorithms, SambaNova aims to support organizations in leveraging advanced data analytics effectively.

LifeMine Therapeutics, Inc. is a biotechnology company focused on discovering new drug modalities from eukaryotic microbes, particularly fungi. Founded in 2016 and headquartered in Cambridge, Massachusetts, with an additional office in New York, the company employs an integrated platform that combines genomics, artificial intelligence, and synthetic biology. This innovative Avatar-Rx platform utilizes high-throughput microbiology, data science, machine learning, genome engineering, and automation to explore the fungal biosphere for novel genetically encoded molecules with specific biological functions. By integrating chemoinformatic-assisted drug optimization and advanced chemical synthesis with biotransformation, LifeMine Therapeutics aims to advance a pipeline of new medicines into development.

Orbital Insight, Inc. is a geospatial analytics company based in Palo Alto, California, established in 2013. The firm develops a cloud-based platform that employs artificial intelligence and machine learning to analyze vast amounts of geospatial data, including satellite imagery, mobile location signals, and other Internet of Things data. This technology enables organizations, including businesses, governments, and NGOs, to gain insights into societal and economic trends that may not be visible to the naked eye. Orbital Insight's products, such as Orbital Insight GO, GO Consumer, and GO Energy, provide users with actionable intelligence regarding infrastructure, supply chain dynamics, and energy resources. By transforming billions of data points into clear, usable information, the company supports data-driven decision-making in various sectors.

Mighty AI, Inc. operates a Training Data as a Service platform that assists businesses in acquiring the datasets necessary to train and enhance their computer vision and natural language models. The company's platform features a global community of individuals who perform micro tasks, such as labeling objects in images and conducting sentiment analysis on text. By leveraging its proprietary machine learning technology and a comprehensive suite of annotation software, Mighty AI ensures high accuracy and scalability in the data it provides. Founded in 2014 and headquartered in Seattle, Washington, with an additional office in Detroit, Michigan, Mighty AI serves customers worldwide and specializes in delivering training data for companies developing computer vision models, particularly for autonomous vehicles. The company was previously known as Spare5 Inc. and became a subsidiary of Uber Technologies, Inc. in 2019.

Mist Systems, born in the mobile and cloud era, delivers the world’s first intelligent wireless network products that leverage machine learning. Using Mist, enterprises can provide amazing user experiences not possible before, and IT can proactively manage the network at any scale. It was founded in 2014 and is based in Cupertino, California.

Orbital Insight, Inc. is a geospatial analytics company based in Palo Alto, California, established in 2013. The firm develops a cloud-based platform that employs artificial intelligence and machine learning to analyze vast amounts of geospatial data, including satellite imagery, mobile location signals, and other Internet of Things data. This technology enables organizations, including businesses, governments, and NGOs, to gain insights into societal and economic trends that may not be visible to the naked eye. Orbital Insight's products, such as Orbital Insight GO, GO Consumer, and GO Energy, provide users with actionable intelligence regarding infrastructure, supply chain dynamics, and energy resources. By transforming billions of data points into clear, usable information, the company supports data-driven decision-making in various sectors.

HEAVY.AI develops a big data analytics and visualization platform that helps businesses and government entities uncover valuable opportunities and risks within extensive location and time data. Its technology leverages the capabilities of modern GPU and CPU hardware to facilitate high-speed analytics and visualization. The platform features a structured query language-compliant database and an advanced visual analytics engine, allowing users to analyze and visualize large datasets efficiently. Clients from various sectors, including government, telecommunications, energy, utilities, and higher education, utilize HEAVY.AI's solutions to enhance decision-making processes and gain insights from multi-billion record datasets.

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.

Tamr, Inc. is an enterprise data unification company that specializes in providing data management solutions. The company offers a platform that utilizes machine learning combined with human expertise to identify and integrate diverse internal and external data sources, thereby enabling organizations to manage siloed data effectively. Tamr's services include enterprise data preparation, clinical data conversion, procurement optimization, and customer data integration, catering to various sectors such as financial services, life sciences, government, and manufacturing. Founded in 2013 by experienced professionals in the database industry, Tamr is headquartered in Cambridge, Massachusetts, with additional offices in major cities including New York, Seattle, San Francisco, Washington, D.C., and London. The company aims to deliver valuable insights from data, supporting clients in achieving successful business outcomes.

Digit is a finance app that analyzes your spending habits and automatically saves the perfect amount every day. The platform automates the day-to-day work of managing money so you don’t have to think about it. They help eliminate the stress and anxiety people feel about their finances while helping them build a proven foundation for the future they’re trying to achieve. Digit keeps your money socked away in a separate account and your savings will depend on a number of variables, including how much money you keep in your checking account and what your saving and spending pattern. Their technology combines machine learning and behavioral psychology to provide a financial assistant you can trust to work toward your goals while you spend your time and effort on what’s most meaningful in your life. It saves the amount of money every day based on your spending and income and tells you the intelligent timeline for achieving them. Digit was founded in 2013 and is headquartered in San Francisco, California, United States.

Rocana specializes in IT Operations Analytics, offering advanced root cause analysis software that assists technology leaders in fostering digital transformation. Founded by experienced professionals from Cloudera, Vertica, and Experian, the company addresses the complexities of shared services infrastructure through innovative technology. Rocana's software captures and analyzes machine data from various sources, ensuring that this information remains accessible over time. This capability allows IT professionals to quickly identify emerging issues, enhance system performance, and promote innovation within their organizations. By leveraging the Apache Hadoop ecosystem, Rocana provides a scalable and open solution to modern IT challenges.

Clarifai, Inc. is a prominent provider of advanced artificial intelligence solutions specializing in image recognition, natural language processing, and audio recognition. Founded in 2013 by Matt Zeiler, Ph.D., the company develops a deep learning platform that enables organizations to convert unstructured data—such as images, videos, text, and audio—into structured data efficiently and accurately. Clarifai's image recognition technology is capable of detecting near-duplicates, categorizing objects, and tagging images, while also allowing users to search for similar images within extensive uncategorized collections through a combination of semantic and visual similarity. Additionally, the company offers a labeling tool called Labeler, which aids in dataset labeling, AI training, and model auto-scaling in production environments. Headquartered in New York, with an office in Tallinn, Estonia, Clarifai employs a distributed team across various countries, including the United States, Canada, Argentina, and India.

Orbital Insight, Inc. is a geospatial analytics company based in Palo Alto, California, established in 2013. The firm develops a cloud-based platform that employs artificial intelligence and machine learning to analyze vast amounts of geospatial data, including satellite imagery, mobile location signals, and other Internet of Things data. This technology enables organizations, including businesses, governments, and NGOs, to gain insights into societal and economic trends that may not be visible to the naked eye. Orbital Insight's products, such as Orbital Insight GO, GO Consumer, and GO Energy, provide users with actionable intelligence regarding infrastructure, supply chain dynamics, and energy resources. By transforming billions of data points into clear, usable information, the company supports data-driven decision-making in various sectors.

Digit is a finance app that analyzes your spending habits and automatically saves the perfect amount every day. The platform automates the day-to-day work of managing money so you don’t have to think about it. They help eliminate the stress and anxiety people feel about their finances while helping them build a proven foundation for the future they’re trying to achieve. Digit keeps your money socked away in a separate account and your savings will depend on a number of variables, including how much money you keep in your checking account and what your saving and spending pattern. Their technology combines machine learning and behavioral psychology to provide a financial assistant you can trust to work toward your goals while you spend your time and effort on what’s most meaningful in your life. It saves the amount of money every day based on your spending and income and tells you the intelligent timeline for achieving them. Digit was founded in 2013 and is headquartered in San Francisco, California, United States.

Framed Data takes data from businesses and turns it into actionable insights and decisions. They train, optimize, and store productionized models in their cloud and provide predictions through an API, eliminating infrastructure overhead. They provide dashboards and scenario analysis tools that tell you which company levers are driving metrics you care about.

Yieldmo, Inc. is an advertising platform that provides mobile advertising solutions aimed at enhancing user engagement and campaign performance for publishers and marketers. Founded in 2012 and based in New York, the company utilizes advanced technology, including machine learning and artificial intelligence, to offer custom ad formats and proprietary attention signals. Yieldmo focuses on creating human-centered ads that are tailored to provoke emotional responses and actions from users. Its platform combines creative and media elements, allowing brands to optimize ad placements across mobile pages and apps, while delivering analytics and insights to inform marketing strategies. This approach enables marketers, publishers, and agencies to effectively drive revenue through digital advertising.

HEAVY.AI develops a big data analytics and visualization platform that helps businesses and government entities uncover valuable opportunities and risks within extensive location and time data. Its technology leverages the capabilities of modern GPU and CPU hardware to facilitate high-speed analytics and visualization. The platform features a structured query language-compliant database and an advanced visual analytics engine, allowing users to analyze and visualize large datasets efficiently. Clients from various sectors, including government, telecommunications, energy, utilities, and higher education, utilize HEAVY.AI's solutions to enhance decision-making processes and gain insights from multi-billion record datasets.

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.

Tala is a global financial technology company focused on delivering accessible financial services to underserved populations in emerging markets, including Kenya, the Philippines, Mexico, and India. Through its mobile application, Tala provides users with instant access to credit, payments, savings, and transfer services, effectively integrating digital and cash ecosystems. By utilizing advanced data science and machine learning, Tala evaluates creditworthiness in real-time, allowing individuals without formal credit histories to receive personalized credit lines. This innovative approach empowers customers to manage their financial needs more effectively and promotes greater financial inclusion.

Rocana specializes in IT Operations Analytics, offering advanced root cause analysis software that assists technology leaders in fostering digital transformation. Founded by experienced professionals from Cloudera, Vertica, and Experian, the company addresses the complexities of shared services infrastructure through innovative technology. Rocana's software captures and analyzes machine data from various sources, ensuring that this information remains accessible over time. This capability allows IT professionals to quickly identify emerging issues, enhance system performance, and promote innovation within their organizations. By leveraging the Apache Hadoop ecosystem, Rocana provides a scalable and open solution to modern IT challenges.

Tamr, Inc. is an enterprise data unification company that specializes in providing data management solutions. The company offers a platform that utilizes machine learning combined with human expertise to identify and integrate diverse internal and external data sources, thereby enabling organizations to manage siloed data effectively. Tamr's services include enterprise data preparation, clinical data conversion, procurement optimization, and customer data integration, catering to various sectors such as financial services, life sciences, government, and manufacturing. Founded in 2013 by experienced professionals in the database industry, Tamr is headquartered in Cambridge, Massachusetts, with additional offices in major cities including New York, Seattle, San Francisco, Washington, D.C., and London. The company aims to deliver valuable insights from data, supporting clients in achieving successful business outcomes.

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.

Premise is a data and analytics platform that empowers decision-makers with real-time, actionable intelligence. By combining the power of a global network of on-the-ground contributors with industry-leading data science and machine learning Premise is ‘The Source of Ground Truth.’ A $66M Series C venture capital organization, we are backed by Valor Equity Partners, Social Capital, Google Ventures, and Andreessen Horowitz, among others. Premise is headquartered in San Francisco, California with offices in Washington, D.C., Seattle, and Portland.

Kensho Technologies, Inc. specializes in analytics, artificial intelligence, machine learning, and data visualization systems tailored for global banks and investment institutions. Founded in 2012 and headquartered in Cambridge, Massachusetts, with additional offices in New York, Virginia, and California, Kensho develops financial analytics software that enables scalable analytics solutions for commercial entities. Its offerings include Kensho Applied Mind, an AI software that enhances decision-making by addressing complex financial inquiries in natural language. The company also operates a national security division known as Koto. As of April 2018, Kensho operates as a subsidiary of S&P Global Inc.

DataFox is a company intelligence platform based in San Francisco that assists sales, marketing, and investment teams in identifying and prioritizing target companies to enhance opportunity sourcing. The platform combines AI-generated insights with verification from a team of over 100 human analysts, delivering comprehensive company data, growth signals, and account scoring. By employing data science and machine learning, DataFox creates proprietary datasets and integrates key leading indicators to rank and score the fastest-growing private companies. The platform is utilized by a diverse range of organizations, from high-growth startups to Fortune 500 companies, including notable names in various industries.

Yieldmo, Inc. is an advertising platform that provides mobile advertising solutions aimed at enhancing user engagement and campaign performance for publishers and marketers. Founded in 2012 and based in New York, the company utilizes advanced technology, including machine learning and artificial intelligence, to offer custom ad formats and proprietary attention signals. Yieldmo focuses on creating human-centered ads that are tailored to provoke emotional responses and actions from users. Its platform combines creative and media elements, allowing brands to optimize ad placements across mobile pages and apps, while delivering analytics and insights to inform marketing strategies. This approach enables marketers, publishers, and agencies to effectively drive revenue through digital advertising.

DataFox is a company intelligence platform based in San Francisco that assists sales, marketing, and investment teams in identifying and prioritizing target companies to enhance opportunity sourcing. The platform combines AI-generated insights with verification from a team of over 100 human analysts, delivering comprehensive company data, growth signals, and account scoring. By employing data science and machine learning, DataFox creates proprietary datasets and integrates key leading indicators to rank and score the fastest-growing private companies. The platform is utilized by a diverse range of organizations, from high-growth startups to Fortune 500 companies, including notable names in various industries.

Premise is a data and analytics platform that empowers decision-makers with real-time, actionable intelligence. By combining the power of a global network of on-the-ground contributors with industry-leading data science and machine learning Premise is ‘The Source of Ground Truth.’ A $66M Series C venture capital organization, we are backed by Valor Equity Partners, Social Capital, Google Ventures, and Andreessen Horowitz, among others. Premise is headquartered in San Francisco, California with offices in Washington, D.C., Seattle, and Portland.

Comfy connects people, places, and systems through one intuitive workplace app. With expertise in machine learning, UX design, and enterprise service, they create great relationships between people and their workplaces. At Comfy, they are driven by their passion for creating amazing workplace experiences. Comfy’s cloud-enabled platform seamlessly and securely connects your employees directly to their physical and digital workplace, driving productivity and delight.

MindMeld, Inc. is a technology company that specializes in developing an advanced AI platform focused on creating intelligent conversational interfaces for applications and devices. Founded in 2011 and headquartered in San Francisco, the company enhances user interaction through voice interfaces and language-understanding capabilities, allowing users to engage with music, video content, weather updates, and connected home devices. MindMeld's platform employs machine learning to facilitate natural interactions with voice and chat assistants, enabling users to efficiently access and navigate information. In December 2015, the company rebranded from its original name, Expect Labs, Inc., and operates as a subsidiary of Cisco Systems, Inc. since May 2017.

Upstart is a lending platform founded in 2012 and headquartered in San Mateo, California, and Columbus, Ohio. The company utilizes artificial intelligence and machine learning to enhance the credit pricing and borrowing process. Its proprietary underwriting model allows for the identification of borrowers with limited credit and employment histories by analyzing various factors such as educational background, field of study, and work experience. Upstart connects consumer loan demand to a network of AI-enabled bank partners, offering a range of financial products, including personal loans, automotive retail loans, home equity lines of credit, and small dollar loans. This approach enables partnering banks to achieve higher approval rates and lower loss rates while providing a streamlined digital lending experience for borrowers.