Tiger Global Management

Tiger Global Management is an investment firm based in New York, founded in 2001. It specializes in both public and private equity, focusing on companies that harness technological innovation. The firm employs a long-term investment strategy, targeting high-quality growth opportunities across a diverse range of industries. In its public equity operations, Tiger Global utilizes both long/short and growth strategies, while its private equity segment invests in companies at various stages, from early to late stage. As a Registered Investment Adviser, Tiger Global Management aims to partner with its portfolio companies throughout their lifecycle to maximize growth and value.

Jay Chen

Partner

Chase Coleman

Partner

Evan Feinberg

Partner

Kooshul Jhaveri

Investor

Alex Kimball

Partner

Connie Lee

Partner

Edward Huanzhong Lei

Partner

Nate Lippincott

Investor

Gregory Mazlin

Partner

Griffin Schroeder

Partner

Scott Shleifer

Partner

Pengfei Wang

Partner

Vincent Monti

Investor

Past deals in Machine Learning

Taktile

Series B in 2025
Taktile is a software platform designed to help businesses efficiently build, run, and evaluate automated decision flows using data-driven methods. It enables companies to accelerate product market entry, minimize decision-making risks, and adapt to changes while optimizing profit margins. The platform empowers decision-makers to modify complex decision flows independently, back-test changes to understand their potential impact, and iterate before final implementation. Additionally, Taktile processes decision logs and historical data, offering risk managers essential tools for analyzing market conditions and assessing changes prior to deployment. This technology also supports data science teams in scaling and maintaining machine learning models by monitoring performance and detecting errors, ultimately facilitating the effective adoption of machine learning and AI tools within organizations.

Path Robotics

Series D in 2024
Path Robotics, Inc., based in Cleveland, Ohio, specializes in the manufacture of autonomous welding robots. Founded in 2018, the company focuses on designing robotic welding systems that utilize artificial intelligence and machine learning to enhance precision and adaptability in manufacturing processes. These advanced systems automate repetitive welding tasks, helping manufacturers boost productivity while reducing initial costs. By addressing workforce challenges in the manufacturing sector, Path Robotics offers effective automation solutions that streamline operations. Their robots are engineered to autonomously locate and weld seams, significantly reducing production time and improving quality by minimizing errors and inconsistencies. This technology enables industries to simplify their production processes and enhance overall efficiency.

OpenAI

Venture Round in 2024
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.

Scale AI

Series F in 2024
Scale AI, Inc. develops a data platform that specializes in providing training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers various annotation platforms, including Scale 3D Sensor Fusion for 3D sensor data, Scale Image for images, Scale Video for videos, Scale Text for text annotation, and Scale Document for intelligent document processing. These products facilitate a range of tasks such as content moderation, transcription, and data comparison across multiple sectors, including autonomous vehicles, e-commerce, conversational AI, and robotics. By enabling companies to focus on building advanced AI models rather than labeling data, Scale AI supports clients in accelerating the development of their artificial intelligence applications.

Xihuang Technology

Series B in 2023
Xihuang Technology is a comprehensive internet technology service provider that specializes in software development, big data research, and natural speech processing. The company offers commercial applications of artificial intelligence algorithms, particularly in recommendation systems, as well as digital solutions for global traffic in short videos. Xihuang Technology focuses on corporate marketing through its platform, which leverages AI technologies for market analysis and intelligent video editing. By combining these capabilities with expertise in ranking optimization and trend tracking, the company helps enterprises create high-quality short video content to enhance customer acquisition and reduce production costs. Additionally, Xihuang Technology provides training and innovative marketing services to support individuals, businesses, and agents in navigating the digital landscape.

Xihuang Technology

Series B in 2023
Xihuang Technology is a comprehensive internet technology service provider that specializes in software development, big data research, and natural speech processing. The company offers commercial applications of artificial intelligence algorithms, particularly in recommendation systems, as well as digital solutions for global traffic in short videos. Xihuang Technology focuses on corporate marketing through its platform, which leverages AI technologies for market analysis and intelligent video editing. By combining these capabilities with expertise in ranking optimization and trend tracking, the company helps enterprises create high-quality short video content to enhance customer acquisition and reduce production costs. Additionally, Xihuang Technology provides training and innovative marketing services to support individuals, businesses, and agents in navigating the digital landscape.

Databricks

Series I in 2023
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.

Nexacore

Series A in 2023
Nexacore is a technology company offering a generative AI for analytics and predictive modeling platform that gives any size business a competitive edge with rapid insights and visionary predictions for everyday operations, and accelerates the development of AI applications by helping machine learning teams generate ground truth data.

OpenAI

Venture Round in 2023
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.

Monnai

Series A in 2023
Monnai provides a global infrastructure that delivers more than 500+ insights to financial organizations to make more accurate and informed decisions throughout the lifecycle of their customers. Through a single API, fintech firms get access to a global integrated platform that helps them navigate the four key pillars of onboarding, trust and fraud risk, credit underwriting and debt collections.

Deepgram

Series B in 2022
Deepgram, Inc. develops artificial intelligence-based automatic speech recognition solutions, offering a platform that enables enterprises to label, train, and deploy speech recognition models. This platform allows users to convert audio data into text, facilitating the extraction of insights and automation of actions. Deepgram also provides APIs for speech-to-text, text-to-speech, and language understanding, making it suitable for a variety of applications, including medical transcription and autonomous agents. The technology supports keyword searches in transcripts by both sound and text, enhancing the usability of audio and video files for transcribing calls, meetings, and voicemails. Founded in 2015 and headquartered in San Francisco, California, Deepgram serves individual developers and Fortune 500 companies, focusing on delivering scalable and effective voice AI experiences.

Taktile

Series A in 2022
Taktile is a software platform designed to help businesses efficiently build, run, and evaluate automated decision flows using data-driven methods. It enables companies to accelerate product market entry, minimize decision-making risks, and adapt to changes while optimizing profit margins. The platform empowers decision-makers to modify complex decision flows independently, back-test changes to understand their potential impact, and iterate before final implementation. Additionally, Taktile processes decision logs and historical data, offering risk managers essential tools for analyzing market conditions and assessing changes prior to deployment. This technology also supports data science teams in scaling and maintaining machine learning models by monitoring performance and detecting errors, ultimately facilitating the effective adoption of machine learning and AI tools within organizations.

Tecton

Series C in 2022
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.

Pagaya

Post in 2022
Pagaya is a financial technology company that is transforming the asset management and lending marketplaces through the use of machine learning and big data analytics. It focuses on managing institutional money, particularly in fixed income and alternative credit, offering discretionary funds to institutions such as pension funds, insurance companies, and banks. Pagaya utilizes its proprietary technology platform, Pagaya Pulse, which employs advanced artificial intelligence algorithms to enhance performance and scalability. Additionally, Pagaya aims to improve the credit industry by providing a comprehensive solution that enhances customer experience and accessibility to credit, integrating seamlessly into its network of partners through a proprietary API. The company primarily generates its revenue from the United States.

Traceable

Series B in 2022
Traceable Inc is a San Francisco-based company that specializes in security solutions for cloud-native applications, focusing on protecting application activity from user interactions to application programming interfaces (APIs) and underlying code. Founded in 2018, Traceable offers an end-to-end application security monitoring platform that utilizes machine learning technology to analyze user and session data alongside application behavior. This approach enables the detection of anomalies and potential cyberattacks, providing organizations with insights for threat protection and management throughout the Software Development Lifecycle. The platform includes features for security posture management and forensic analysis, empowering businesses to minimize risks while maximizing the value of their APIs in an increasingly cloud-driven environment.

RelationalAI

Series B in 2022
RelationalAI is focused on creating an innovative relational knowledge graph system aimed at addressing complex business challenges. The company emphasizes the importance of rich interdependencies and structures found in businesses, which enhance the modern data stack. This approach facilitates the development of intelligent data applications, allowing entrepreneurs to build applications with semantic layers on a solid data foundation. By doing so, RelationalAI aims to simplify the process of codifying and leveraging knowledge, making it more accessible for users.

Viz

Series D in 2022
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.

Pinecone

Series A in 2022
Pinecone is a technology company that specializes in developing a vector database platform designed to facilitate the deployment of complex machine learning applications. Its platform integrates vector search capabilities, filtering features, and robust distribution infrastructure, ensuring reliable performance at any scale. By providing real-time serving engines for deep learning retrieval applications, Pinecone enables developers to efficiently transform, search, and rank multi-dimensional vectors, significantly reducing processing time and enhancing the overall effectiveness of generative AI models.

Run:AI

Series C in 2022
Run:AI is a technology company based in Tel-Aviv, Israel, founded in 2018. It specializes in developing an application software platform that enhances the management of artificial intelligence infrastructure by optimizing resource allocation and workload execution. The platform creates an abstraction layer using graph-based parallel computing algorithms, which enables organizations to efficiently utilize GPUs and other hardware for AI projects. By offering tools for workload scheduling and resource pooling, Run:AI facilitates faster development cycles and helps enterprises improve their AI capabilities. The company's focus on deep learning and compute virtualization allows clients to manage and accelerate their training workloads, ultimately reducing inefficiencies and enabling more cost-effective experimentation.

Aporia

Series A in 2022
Aporia is an AI control platform that focuses on ensuring the privacy, security, and reliability of artificial intelligence applications for organizations ranging from tech startups to Fortune 500 companies. The platform provides robust guardrails that help mitigate issues such as hallucinations, data leakage, and prompt attacks in real time. Central to Aporia's offerings is Aporia Labs, a team of AI and cybersecurity experts dedicated to researching and developing advanced methods for identifying and addressing these challenges. In addition to its guardrails, Aporia's platform supports machine learning production monitoring, enabling data scientists to create, update, and maintain monitors that track performance issues and data drift, thereby building trust around machine learning models and accelerating their deployment.

Cohere

Series B in 2022
Cohere is a platform that provides developers and businesses with access to natural language processing (NLP) capabilities, leveraging advanced large language models. The company's software enables machines to comprehend and interpret language effectively, facilitating the analysis of multiple web pages. This functionality helps users understand the meaning, sentiment, and tone of text, thereby enhancing comprehension abilities. By utilizing Cohere's technology, businesses can create more personalized user experiences, making information more accessible and intelligible.

Devron

Series A in 2022
Devron is a data science platform developer founded in 2020 by Kartik Chopra in North Brunswick, New Jersey. The company aims to democratize access to machine learning across distributed data silos while preserving privacy. Its platform utilizes federated machine learning and privacy technologies, enabling users to extract insights from data without the need for centralized data storage. This approach eliminates the costs, time, and risks associated with data duplication, allowing clients to achieve faster results and improve the generalizability of their models while maintaining the confidentiality of data sources and methodologies.

Electric Sheep

Series A in 2022
Electric Sheep is a technology company focused on developing artificial intelligence for the outdoor environment, specifically through the creation of robots designed to enhance landscape services. By combining Sim2Real techniques with data and reinforcement learning derived from their operational fleet, Electric Sheep transforms traditional landscape service businesses with advanced robotics. Their technology addresses the outdoor labor shortage by integrating AI models that enable both human and robotic crews to efficiently manage lawn, turf, and grounds maintenance tasks. This innovation allows robots to handle repetitive, mundane activities, thereby freeing human workers to engage in more creative and complex landscaping responsibilities. By operating their own service business, Electric Sheep has established a practical framework for large-scale reinforcement learning, solidifying their competitive advantage in the market.

6Sense

Series E in 2022
6Sense is a company that transforms how organizations manage and convert sales pipelines into revenue. It offers a predictive intelligence platform that leverages artificial intelligence, big data, and machine learning to capture anonymous buying signals and provide insights into customer behavior. By identifying the right accounts and suggesting optimal communication channels and messages, 6Sense helps sales, marketing, and customer success teams enhance pipeline quality and accelerate sales processes. This technology not only reduces guesswork and friction in the sales journey but also aims to increase conversion rates and facilitate predictable revenue growth. Through its omnichannel connectivity and visibility, 6Sense enables revenue teams to make informed decisions based on buyer intent data and other predictive analytics.

SeekOut

Series C in 2022
SeekOut is a recruitment management platform that utilizes advanced AI and machine-learning technologies to help talent acquisition teams identify and engage hard-to-find and diverse candidates. The platform offers unique sourcing capabilities, including access to GitHub profiles, which allows recruiters to discover untapped deep tech talent. It also features insights from over 80 million profiles in engineering and life sciences, based on patents and research publications, helping organizations identify innovation leaders. SeekOut facilitates one-click access to millions of diverse candidates, enabling recruiters to enhance their diversity initiatives. With a best-in-class AI search across 500 million profiles and industry-leading contact information, the platform increases response rates through automated messaging campaigns. Additionally, SeekOut provides custom search engines for various social networks, offering a comprehensive view of available talent while reducing the need for multiple recruitment tools and improving return on investment.

Hyperscience

Series E in 2021
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.

Elementary Robotics

Series B in 2021
Elementary Robotics, Inc. specializes in manufacturing robots designed to assist humans in various industries, including electronics, automotive, medical, and consumer packaged goods. Founded in 2017 and headquartered in Pasadena, California, with additional offices in Mexico and Chicago, the company focuses on automating quality assurance and traceability processes in AI-assisted manufacturing. Its robots are equipped with advanced software, deep learning AI, and camera systems to capture visual data, enabling real-time decision-making and enhancing the efficiency of production lines. By integrating machine learning and computer vision, Elementary Robotics aims to create intelligent automation solutions that improve productivity and streamline workflows in manufacturing and logistics.

Robust Intelligence

Series B in 2021
Robust Intelligence, Inc. is a San Francisco-based company founded in 2019 that focuses on enhancing the security and reliability of artificial intelligence systems. The company provides an automated platform designed to safeguard enterprises from AI security vulnerabilities by detecting and mitigating model threats. Its comprehensive solution includes proprietary red teaming, threat intelligence, and guardrails to ensure secure AI deployment in production. Robust Intelligence's platform features two key components: automated tests for pre-production models and quality assurance tests for in-production models. This dual approach enables clients to identify and eliminate contaminated data, thereby improving model performance in complex production environments.

Socure

Series E in 2021
Socure Inc. specializes in digital identity verification solutions, utilizing artificial intelligence and machine learning to authenticate identities in real-time. Its flagship platform, Socure ID+, integrates data from various online and offline sources, including email, phone numbers, and social media, to streamline customer identification processes and ensure compliance with regulations such as know your customer (KYC) and anti-money laundering (AML). In addition to Socure ID+, the company offers tools like Aida, an AI-driven bot for real-time identity validation; Docv, a document verification solution; and Sigma Synthetic Fraud, which targets synthetic identity fraud. Serving a diverse clientele that includes software and financial firms, as well as integration partners and sponsor banks, Socure aims to eliminate identity fraud and enhance security for online transactions. Founded in 2012 and headquartered in New York, Socure has established strategic partnerships to expand its reach and effectiveness in the identity verification landscape.

OctoAI

Series C in 2021
OctoAI is an AI infrastructure platform that assists developers in efficiently running, tuning, and scaling generative AI models. By providing a user-friendly interface with pre-built templates for popular open-source models like Stable Diffusion and LLaMA, OctoAI enables seamless deployment and fine-tuning of models. The platform emphasizes flexibility, allowing developers to utilize both off-the-shelf and custom models while ensuring cost-effective performance through model acceleration. Additionally, OctoAI offers automated technology that helps engineering teams deploy machine learning models across various hardware, cloud providers, and edge devices quickly. This managed service leverages machine learning to automate code generation and optimization, ensuring that models operate at peak efficiency and that deployments remain secure in multi-cloud environments. Founded in 2019 and based in Seattle, Washington, OctoAI aims to enhance the capabilities of machine learning engineers and organizations.

Moka

Series C in 2021
Moka is a software-as-a-service (SaaS) company that specializes in optimizing recruitment processes for businesses. Its platform leverages machine learning algorithms and artificial intelligence to analyze resumes and identify key characteristics of job seekers. By utilizing local semantic analysis and pattern matching, Moka effectively summarizes recruitment behavior data and conducts extensive statistical analysis. This enables organizations to gain insights into industry trends and refine their candidate selection process. The platform automates candidate screening and makes recommendations, allowing recruiters to post job listings across various platforms with ease. Moka aims to enhance recruitment effectiveness by helping companies identify suitable candidates more accurately and efficiently.

Abacus.AI

Series C in 2021
Abacus.AI, Inc. is a San Francisco-based company that specializes in cloud-based artificial intelligence services. Founded in 2019, it focuses on helping organizations design, train, and implement machine and deep learning models tailored to various business needs. The company's platform enables businesses to integrate customizable deep learning systems into their existing processes and customer experiences. Abacus.AI offers a range of solutions, including AI for IT operations, marketing and sales, fraud detection, recommendation systems, forecasting, and predictive modeling. Its autonomous AI platform is designed to support common enterprise applications, such as churn prediction and time-series forecasting, facilitating the creation of state-of-the-art, real-time AI solutions for clients.

Traive

Series A in 2021
Traive Inc. operates an online lending platform tailored to the agricultural sector, facilitating loans to farmers by connecting them with lenders. Incorporated in 2018 and based in Saint Paul, Minnesota, with additional offices in São Paulo, Minneapolis, and Boston, Traive leverages advanced machine learning techniques to assess credit risk dynamically. The platform goes beyond traditional credit scores, incorporating factors such as agronomic performance and market risks to deliver comprehensive credit evaluations. This innovative approach enables farmers to access fair and affordable funding while providing lenders with valuable insights into borrower behavior and a diversified portfolio of credit-worthy individuals. By utilizing big data and AI, Traive aims to streamline the lending process, reducing bureaucracy for producers and enhancing protection for lenders.

Wise Systems

Series C in 2021
Wise Systems Inc. develops autonomous dispatch and routing software that enhances delivery efficiency for various industries, including food, beverage, courier, energy, and field service. Founded in 2014 and based in Cambridge, Massachusetts, the company leverages machine learning algorithms to optimize last-mile operations. Its platform includes tools such as Scheduler, which dynamically creates and dispatches optimized route plans; Dispatcher, which allows managers to monitor delivery progress and driver performance; and Customer Portal, enabling recipients to track their orders with real-time ETAs. Wise Systems also offers Smart Reservation Management, allowing customers to select their preferred delivery times. Clients typically experience significant benefits, including reductions in mileage and late deliveries, as well as increased fleet utilization. The software processes millions of data points to make real-time decisions, facilitating efficient transportation operations while reducing costs.

Kinara

Series B in 2021
Kinara specializes in the development of low-power, energy-efficient, and programmable discrete neural processing units designed for edge AI applications. The company's processors enable a variety of applications, including multi-modal generative AI models, and are particularly suited for devices such as drones, robots, and IoT cameras. By providing a full stack of low-power, real-time deep learning computer vision software, Kinara's solutions offer faster and more efficient processing compared to traditional GPU and DSP methods. Furthermore, the company provides automated development tools that assist users in implementing complex AI applications, allowing for optimized real-time actions and rich data insights at the edge.

Kinara

Series B in 2021
Kinara specializes in the development of low-power, energy-efficient, and programmable discrete neural processing units designed for edge AI applications. The company's processors enable a variety of applications, including multi-modal generative AI models, and are particularly suited for devices such as drones, robots, and IoT cameras. By providing a full stack of low-power, real-time deep learning computer vision software, Kinara's solutions offer faster and more efficient processing compared to traditional GPU and DSP methods. Furthermore, the company provides automated development tools that assist users in implementing complex AI applications, allowing for optimized real-time actions and rich data insights at the edge.

VERSATILE

Series B in 2021
VERSATILE uses machine learning and AI to optimize construction processes. It captures and analyzes data points to deliver real-time insights on job site performance and streamline decision-making. Mounted under the hook of any crane, this first-of-its-kind technology offers unparalleled production data on any job site including information on materials, redundancies, construction progress, and crane utilization. It was founded in 2016 and headquartered in Los Altos, California.

Moloco

Series C in 2021
Moloco Inc., founded in 2013 and based in Palo Alto, California, specializes in programmatic advertising solutions that enhance client acquisition, retention, and monetization efforts. The company offers a cloud-based demand-side platform that utilizes machine learning to help businesses optimize their advertising strategies and scale user acquisition effectively. By providing market-validated prediction models, Moloco empowers businesses of all sizes, including those in mobile commerce and streaming services, to improve their customer engagement and lifetime value. Additionally, its TMON platform supports targeted re-engagement campaigns for mobile e-commerce. With a strong focus on technology and talent drawn from leading companies, Moloco aims to deliver quality and scale for both advertisers and publishers.

Dataiku

Series E in 2021
Dataiku Inc. is a company that develops a centralized data platform designed to support businesses in their data journey from analytics to enterprise AI. Founded in 2013, and headquartered in New York with additional offices in Paris and London, Dataiku offers a collaborative data science software platform known as Dataiku DSS. This platform enables teams of data scientists, analysts, and engineers to prepare, analyze, and visualize data effectively. It includes tools for data profiling, interactive exploration, and machine learning capabilities, allowing organizations to build and deploy data products efficiently. By providing a repository of best practices and a controlled environment, Dataiku aims to foster collaboration among data professionals and streamline the development of impactful models and innovative solutions. Prominent clients like Unilever and GE utilize Dataiku to enhance their data-driven decision-making processes and adapt to the growing volume of data they manage.

Path Robotics

Series C in 2021
Path Robotics, Inc., based in Cleveland, Ohio, specializes in the manufacture of autonomous welding robots. Founded in 2018, the company focuses on designing robotic welding systems that utilize artificial intelligence and machine learning to enhance precision and adaptability in manufacturing processes. These advanced systems automate repetitive welding tasks, helping manufacturers boost productivity while reducing initial costs. By addressing workforce challenges in the manufacturing sector, Path Robotics offers effective automation solutions that streamline operations. Their robots are engineered to autonomously locate and weld seams, significantly reducing production time and improving quality by minimizing errors and inconsistencies. This technology enables industries to simplify their production processes and enhance overall efficiency.

Moveworks

Series C in 2021
Moveworks, Inc. develops a cloud-based AI platform that assists enterprises in resolving IT support issues for their employees. Founded in 2016 and headquartered in Mountain View, California, with an additional office in Culver City, the company offers an AI assistant that automates various tasks, such as ordering hardware, raising software requests, and managing ticket statuses. Utilizing a conversational interface, Moveworks interprets complex employee requests and executes multi-step processes, adapting based on previous interactions. Its technology is employed by organizations like Databricks, Broadcom, Hearst, and Palo Alto Networks to enhance productivity, streamline workflows, and improve information retrieval across enterprise systems. The platform integrates with chat applications, such as Slack, to provide seamless user experiences and automatic solutions.

DataRobot

Series G in 2021
DataRobot, Inc. develops an automated machine learning platform that empowers enterprises to create predictive models efficiently. Its offerings include DataRobot Cloud, a predictive analytics solution available both in the cloud and on-premises, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. The company also provides DataRobot Enterprise, featuring flexible deployment options, governance, and training services, along with packages designed to accelerate artificial intelligence projects. DataRobot serves a diverse range of industries, including banking, healthcare, manufacturing, and marketing, catering to business analysts, data scientists, and IT professionals. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot has expanded its operations globally, with offices in major cities such as London, Paris, and Tokyo, and maintains strategic partnerships to enhance its offerings.

Outreach

Series G in 2021
Outreach Inc. is a sales engagement platform that enhances revenue growth by optimizing customer interactions across various channels, including email, voice, and social media. Founded in 2011 and headquartered in Seattle, with an office in London, the company offers solutions for account-based, outbound, and inbound sales, as well as customer retention and expansion. Its platform employs machine learning to automate repetitive tasks, track sales statistics, and provide insights into buyer sentiment, allowing sales teams to tailor their approaches based on real-time emotive signals. Outreach's client base includes prominent companies such as Zoom, Adobe, and Microsoft, who utilize the platform to improve the efficiency and effectiveness of their sales processes, ultimately driving predictable and measurable growth.

PathAI

Series C in 2021
PathAI, Inc. is a company that develops artificial intelligence-based technology solutions aimed at enhancing the accuracy and efficiency of pathology laboratories. Founded in 2016 and headquartered in Boston, Massachusetts, with an additional office in Austin, Texas, PathAI's platform utilizes machine and deep learning techniques to process large datasets, enabling pathologists to diagnose cancer and other conditions rapidly and accurately. The technology not only assists in making precise diagnoses but also identifies patients who may benefit from innovative therapies, thereby facilitating personalized medicine. PathAI addresses complex challenges in pathology for both the research and pharmaceutical industries, providing reliable and scalable solutions.

Ada

Series C in 2021
Ada Support Inc. is a Toronto-based company that specializes in developing a chatbot platform designed to enhance customer experience for enterprise businesses. Founded in 2016, the platform utilizes artificial intelligence and machine learning to automate customer support processes. By enabling non-technical support teams to manage inquiries effectively, Ada's technology reduces overall support volume and allows customers to find answers independently. The system continuously learns from interactions, improving its ability to serve customers over time.

Groq

Series C in 2021
Groq, Inc. specializes in manufacturing high-performance accelerators and computing engines for artificial intelligence, machine learning, and deep learning applications. Founded in 2016 and headquartered in Mountain View, California, the company leverages its proprietary Tensor Streaming Processor architecture to deliver up to 250 trillion floating-point operations per second. Groq's technology is designed to efficiently handle the complex computations necessary for advanced machine learning models while ensuring low power consumption, making it suitable for large-scale deployments. The company's systems utilize deterministic performance, allowing for predictable outcomes and compute times for various workloads, thus enhancing operational efficiency in AI and quality-performance computing.

Scale AI

Series E in 2021
Scale AI, Inc. develops a data platform that specializes in providing training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers various annotation platforms, including Scale 3D Sensor Fusion for 3D sensor data, Scale Image for images, Scale Video for videos, Scale Text for text annotation, and Scale Document for intelligent document processing. These products facilitate a range of tasks such as content moderation, transcription, and data comparison across multiple sectors, including autonomous vehicles, e-commerce, conversational AI, and robotics. By enabling companies to focus on building advanced AI models rather than labeling data, Scale AI supports clients in accelerating the development of their artificial intelligence applications.

6Sense

Series D in 2021
6Sense is a company that transforms how organizations manage and convert sales pipelines into revenue. It offers a predictive intelligence platform that leverages artificial intelligence, big data, and machine learning to capture anonymous buying signals and provide insights into customer behavior. By identifying the right accounts and suggesting optimal communication channels and messages, 6Sense helps sales, marketing, and customer success teams enhance pipeline quality and accelerate sales processes. This technology not only reduces guesswork and friction in the sales journey but also aims to increase conversion rates and facilitate predictable revenue growth. Through its omnichannel connectivity and visibility, 6Sense enables revenue teams to make informed decisions based on buyer intent data and other predictive analytics.

SeekOut

Series B in 2021
SeekOut is a recruitment management platform that utilizes advanced AI and machine-learning technologies to help talent acquisition teams identify and engage hard-to-find and diverse candidates. The platform offers unique sourcing capabilities, including access to GitHub profiles, which allows recruiters to discover untapped deep tech talent. It also features insights from over 80 million profiles in engineering and life sciences, based on patents and research publications, helping organizations identify innovation leaders. SeekOut facilitates one-click access to millions of diverse candidates, enabling recruiters to enhance their diversity initiatives. With a best-in-class AI search across 500 million profiles and industry-leading contact information, the platform increases response rates through automated messaging campaigns. Additionally, SeekOut provides custom search engines for various social networks, offering a comprehensive view of available talent while reducing the need for multiple recruitment tools and improving return on investment.

TigerGraph

Series C in 2021
TigerGraph Inc. develops a graph analytics platform that facilitates advanced analytics and machine learning on connected data. Founded in 2012 and headquartered in Redwood City, California, the company also has offices in Shanghai, London, and Munich. Its platform features a distributed native graph database, enabling real-time graph updates and built-in parallel computation. TigerGraph's technology supports various applications, including fraud detection, anti-money laundering, customer 360 analysis, recommendations, and network analysis. By transforming complex data into a network of objects and relationships, the platform empowers enterprises to uncover hidden patterns and derive actionable insights, enhancing their relationship analysis capabilities.

Databricks

Series G in 2021
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.

Run:AI

Series B in 2021
Run:AI is a technology company based in Tel-Aviv, Israel, founded in 2018. It specializes in developing an application software platform that enhances the management of artificial intelligence infrastructure by optimizing resource allocation and workload execution. The platform creates an abstraction layer using graph-based parallel computing algorithms, which enables organizations to efficiently utilize GPUs and other hardware for AI projects. By offering tools for workload scheduling and resource pooling, Run:AI facilitates faster development cycles and helps enterprises improve their AI capabilities. The company's focus on deep learning and compute virtualization allows clients to manage and accelerate their training workloads, ultimately reducing inefficiencies and enabling more cost-effective experimentation.

OpenAI

Venture Round in 2021
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.

BigID

Series D in 2020
BigID, Inc. is a New York-based company that develops software for personal data protection and privacy compliance. Founded in 2016, BigID utilizes advanced machine learning and identity intelligence to assist organizations in discovering and managing personally identifiable information (PII) across various data formats. Its platform enables users to automate tasks related to data inventory, access rights fulfillment, and flow mapping, while also providing tools for tracking data access, ensuring compliance with regulations such as GDPR and CCPA, and managing data risk. The company offers solutions that focus on data minimization, consent management, and protecting sensitive information at scale. With additional offices in Tel Aviv and London, BigID is committed to helping enterprises safeguard customer data and adhere to privacy standards effectively.

Scale AI

Series D in 2020
Scale AI, Inc. develops a data platform that specializes in providing training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers various annotation platforms, including Scale 3D Sensor Fusion for 3D sensor data, Scale Image for images, Scale Video for videos, Scale Text for text annotation, and Scale Document for intelligent document processing. These products facilitate a range of tasks such as content moderation, transcription, and data comparison across multiple sectors, including autonomous vehicles, e-commerce, conversational AI, and robotics. By enabling companies to focus on building advanced AI models rather than labeling data, Scale AI supports clients in accelerating the development of their artificial intelligence applications.

Spring Health

Series B in 2020
Spring Health offers mental health solutions tailored for employers and health plans, focusing on personalized care for employee well-being. The company utilizes a digital healthcare platform that incorporates assessment and machine-learning technology to identify individuals' specific mental health needs. By analyzing various conditions that a person may experience, Spring Health matches them with a customized care plan that may include digital support, meditation exercises, coaching, therapy, and medication. This approach aims to modernize behavioral health benefits and provide an effective, comprehensive alternative to traditional mental healthcare options.

DataRobot

Series F in 2020
DataRobot, Inc. develops an automated machine learning platform that empowers enterprises to create predictive models efficiently. Its offerings include DataRobot Cloud, a predictive analytics solution available both in the cloud and on-premises, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. The company also provides DataRobot Enterprise, featuring flexible deployment options, governance, and training services, along with packages designed to accelerate artificial intelligence projects. DataRobot serves a diverse range of industries, including banking, healthcare, manufacturing, and marketing, catering to business analysts, data scientists, and IT professionals. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot has expanded its operations globally, with offices in major cities such as London, Paris, and Tokyo, and maintains strategic partnerships to enhance its offerings.

Hyperscience

Series D in 2020
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.

Dataiku

Series D in 2020
Dataiku Inc. is a company that develops a centralized data platform designed to support businesses in their data journey from analytics to enterprise AI. Founded in 2013, and headquartered in New York with additional offices in Paris and London, Dataiku offers a collaborative data science software platform known as Dataiku DSS. This platform enables teams of data scientists, analysts, and engineers to prepare, analyze, and visualize data effectively. It includes tools for data profiling, interactive exploration, and machine learning capabilities, allowing organizations to build and deploy data products efficiently. By providing a repository of best practices and a controlled environment, Dataiku aims to foster collaboration among data professionals and streamline the development of impactful models and innovative solutions. Prominent clients like Unilever and GE utilize Dataiku to enhance their data-driven decision-making processes and adapt to the growing volume of data they manage.

Hyperscience

Series C in 2020
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.

FortressIQ

Series B in 2020
FortressIQ defines security, insights, and governance in enterprise business automation and AI. It is on a mission to unlock the limitless potential of the global workforce by accelerating the responsible and ethical use of AI in the enterprise. FortressIQ is a meta-learning company, focused on techniques that allow deep neural networks to scalably acquire training data by observing the world around us. The company was founded by Pankaj Chowdhry in 2017, with its headquarters in San Francisco in California.

BigID

Series C in 2020
BigID, Inc. is a New York-based company that develops software for personal data protection and privacy compliance. Founded in 2016, BigID utilizes advanced machine learning and identity intelligence to assist organizations in discovering and managing personally identifiable information (PII) across various data formats. Its platform enables users to automate tasks related to data inventory, access rights fulfillment, and flow mapping, while also providing tools for tracking data access, ensuring compliance with regulations such as GDPR and CCPA, and managing data risk. The company offers solutions that focus on data minimization, consent management, and protecting sensitive information at scale. With additional offices in Tel Aviv and London, BigID is committed to helping enterprises safeguard customer data and adhere to privacy standards effectively.

Databricks

Series F in 2019
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.

Fyle

Series A in 2019
Fyle is a real-time expense management solution that simplifies the process of reporting and managing business expenses. It connects seamlessly with existing corporate and small business credit cards, allowing employees to submit receipts effortlessly with a single click. When a purchase is made on a company card, employees receive an instant SMS notification, prompting them to respond with a photo of the corresponding receipt. The platform leverages machine learning technology to automatically extract and verify data from receipts, ensuring compliance with company policies and minimizing the risk of fraud or duplicate entries. This approach enhances visibility and control over employee spending for small businesses.

DataRobot

Series E in 2019
DataRobot, Inc. develops an automated machine learning platform that empowers enterprises to create predictive models efficiently. Its offerings include DataRobot Cloud, a predictive analytics solution available both in the cloud and on-premises, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. The company also provides DataRobot Enterprise, featuring flexible deployment options, governance, and training services, along with packages designed to accelerate artificial intelligence projects. DataRobot serves a diverse range of industries, including banking, healthcare, manufacturing, and marketing, catering to business analysts, data scientists, and IT professionals. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot has expanded its operations globally, with offices in major cities such as London, Paris, and Tokyo, and maintains strategic partnerships to enhance its offerings.

Fyle

Series A in 2019
Fyle is a real-time expense management solution that simplifies the process of reporting and managing business expenses. It connects seamlessly with existing corporate and small business credit cards, allowing employees to submit receipts effortlessly with a single click. When a purchase is made on a company card, employees receive an instant SMS notification, prompting them to respond with a photo of the corresponding receipt. The platform leverages machine learning technology to automatically extract and verify data from receipts, ensuring compliance with company policies and minimizing the risk of fraud or duplicate entries. This approach enhances visibility and control over employee spending for small businesses.

HEAVY.AI

Series C in 2018
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.

SenseTime

Series C in 2018
SenseTime Group Limited is an artificial intelligence company specializing in computer vision and deep learning technologies. Founded in 2014 and headquartered in Beijing, China, the company develops a wide range of AI solutions, including face and body analysis, image and video recognition, autonomous driving technologies, and medical image analysis. SenseTime's proprietary AI infrastructure, SenseCore, supports scalable and efficient AI software platforms tailored for various applications across sectors such as smart cities, intelligent transportation, healthcare, and finance. The company is also active in advancing industry standards related to data security and ethical AI practices, having contributed to numerous national and international guidelines. With a presence in multiple countries, including Japan, Singapore, and several locations in China, SenseTime aims to drive innovation and foster sustainable productivity through its AI technologies.

Meitu

Series C in 2014
Meitu is a global innovator in mobile photography and video applications, established in 2008. The company offers a diverse suite of apps, including MeituPic, BeautyCam, and MakeupPlus, which incorporate advanced facial recognition and virtual makeup technologies. These applications have been installed on over 1 billion unique devices, with daily activations exceeding 200 million. Meitu aims to create a mobile beauty ecosystem that enables users to discover, experiment, create, and share new looks directly from their smartphones. In addition to its app portfolio, Meitu is involved in the smart hardware sector, producing products like the MeituEve artificial intelligence skin analyser and the MeituSpa cleansing brush. With a global workforce of around 900 employees and offices in China, as well as locations in Santa Monica and Palo Alto, Meitu is actively expanding its presence in Latin America, Europe, the Middle East, and Asia Pacific. The company is also seeking skilled professionals in marketing, business development, user acquisition, localization, and monetization to further enhance its international reach.

Yandex

Venture Round in 2009
Yandex is a prominent Russian internet and technology company, recognized for operating the largest search engine in Russia. The company develops a variety of internet-based services and products, leveraging machine learning to enhance user experiences. Its offerings encompass transportation services, navigation products, mobile applications, online advertisements, and translation services. Yandex operates through several segments, including Search and Portal, E-commerce, Mobility and Delivery, Entertainment Services, and Classifieds. The Search and Portal segment, which provides services in Russia, Belarus, and Kazakhstan, is a significant revenue driver. Additionally, Yandex Türkiye focuses on the Turkish internet market, providing popular services such as swift search results, making it the most visited website in Turkey.

Yandex

Venture Round in 2005
Yandex is a prominent Russian internet and technology company, recognized for operating the largest search engine in Russia. The company develops a variety of internet-based services and products, leveraging machine learning to enhance user experiences. Its offerings encompass transportation services, navigation products, mobile applications, online advertisements, and translation services. Yandex operates through several segments, including Search and Portal, E-commerce, Mobility and Delivery, Entertainment Services, and Classifieds. The Search and Portal segment, which provides services in Russia, Belarus, and Kazakhstan, is a significant revenue driver. Additionally, Yandex Türkiye focuses on the Turkish internet market, providing popular services such as swift search results, making it the most visited website in Turkey.

Yandex

Series A in 2000
Yandex is a prominent Russian internet and technology company, recognized for operating the largest search engine in Russia. The company develops a variety of internet-based services and products, leveraging machine learning to enhance user experiences. Its offerings encompass transportation services, navigation products, mobile applications, online advertisements, and translation services. Yandex operates through several segments, including Search and Portal, E-commerce, Mobility and Delivery, Entertainment Services, and Classifieds. The Search and Portal segment, which provides services in Russia, Belarus, and Kazakhstan, is a significant revenue driver. Additionally, Yandex Türkiye focuses on the Turkish internet market, providing popular services such as swift search results, making it the most visited website in Turkey.
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