Tiger Global Management

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, 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 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, Inc. is a data platform provider specializing in training and validation data for artificial intelligence applications. Founded in 2016 and headquartered in San Francisco, the company offers various annotation tools including Scale Image for image data, Scale Video for video data, Scale Text for text data, and Scale Document for intelligent document processing. Its advanced platform also includes Scale Nucleus, which helps manage user data. Scale AI's products support a wide range of sectors, such as autonomous vehicles, retail, conversational AI, and robotics, facilitating tasks like content moderation and transcription. By focusing on providing high-quality labeled data, Scale AI enables organizations to accelerate the development of AI technologies, allowing clients to concentrate on building innovative models rather than data preparation.

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

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 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 is a financial technology company that offers a comprehensive platform designed to enhance the decision-making capabilities of financial organizations. By providing access to over 500 insights through a single API, Monnai supports fintech firms in managing crucial aspects of customer interactions, including onboarding, trust and fraud risk assessment, credit underwriting, and debt collections. The platform facilitates real-time credit decisions and aggregates financial and digital insights, ultimately enabling businesses to enhance their operational efficiency and revenue growth by accessing financial services at more affordable rates.

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 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.

Butlr Technologies Inc., established in 2019 and headquartered in Burlingame, California, specializes in real-time occupancy and behavior analytics. The company operates a wireless-sensor device that anonymously detects human presence using low-resolution thermal data and advanced AI/machine learning. This data is translated into valuable insights, enabling optimized space layout and understanding of consumer behavior in retail and hospitality industries.

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 is a financial technology company focused on transforming the asset management and lending landscapes through advanced machine learning and big data analytics. By utilizing sophisticated AI-driven credit analysis technologies, Pagaya aims to enhance the lending marketplace and improve the overall customer experience in the credit industry. The company's proprietary technology platform integrates into a network of partners to streamline access to credit while supporting institutional investors, including pension funds, insurance companies, and banks. Pagaya's emphasis on fixed income and alternative credit services reflects its commitment to delivering scalable performance and value within the financial sector. Operating primarily in the United States, Pagaya seeks to create a more efficient and effective credit ecosystem for both institutions and consumers.

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 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.ai, Inc. specializes in healthcare imaging software designed to enhance stroke care through the use of artificial intelligence. The company's flagship technology synchronizes treatment by reducing delays in patient care, enabling rapid identification of large vessel occlusion (LVO) strokes using advanced deep learning algorithms. Key offerings include Viz LVO, which alerts on-call stroke teams based on CT angiogram images, and Viz CTP, which analyzes CT perfusion images and generates critical parametric data. Additionally, Viz HUB facilitates communication among clinical teams to coordinate care efficiently, while Viz VIEW allows healthcare professionals to view imaging data on mobile devices. Founded in 2016 and headquartered in San Francisco, the company aims to transform healthcare delivery by improving the speed and accessibility of treatment for stroke patients.

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 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 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 is a technology company that specializes in natural language processing (NLP) software, designed to enhance the ability of machines to understand human language. By leveraging advanced large language models, Cohere provides developers and businesses with tools that enable them to create applications capable of interpreting meaning, sentiment, and tone from text. This capability not only improves comprehension but also facilitates the development of more personalized user experiences. The company's focus is on making these sophisticated language models safely accessible, ensuring that organizations can harness the power of NLP to better engage with their users and derive insights from vast amounts of textual data.

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 is a technology company focused on developing artificial intelligence for outdoor applications, particularly in landscaping and grounds maintenance. The company creates robots equipped with advanced AI capabilities, aiming to replicate the transformative impact that AI has had on language through tools like ChatGPT. By leveraging Sim2Real techniques and reinforcement learning from a fleet of deployed robots, Electric Sheep enhances traditional landscape services while addressing the labor shortage in the outdoor sector. Their approach involves acquiring and modernizing conventional landscaping businesses, integrating cutting-edge technology and workflows tailored to the needs of landscaping professionals. By automating mundane and repetitive tasks, Electric Sheep allows human workers to concentrate on more creative and impactful aspects of landscaping and environmental health. Operating its own service business not only provides a practical testing ground for its robotics technology but also strengthens its competitive edge in the industry.

6sense is a developer of a predictive intelligence platform that enhances revenue growth for organizations. The company utilizes artificial intelligence, big data, and machine learning to provide comprehensive visibility across the customer journey, from brand awareness to revenue generation. Its platform captures anonymous buying signals and buyer intent data, allowing sales, marketing, and customer success teams to target the right accounts effectively. By recommending optimal channels and messages, 6sense removes guesswork and inefficiencies from the sales process, leading to improved pipeline quality, accelerated sales velocity, and higher conversion rates. Through its innovative approach, 6sense aims to empower revenue teams to grow revenue predictably and efficiently.

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 is a technology company specializing in artificial intelligence-based enterprise software that automates office work processes. Its software leverages machine learning to efficiently handle structured and semi-structured documents, facilitating automated data entry, extracting essential details from invoices, and reconciling compliance-driven data. By streamlining complex processes, Hyperscience aims to enhance productivity for organizations and governments, thereby modernizing mission-critical operations.

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, 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.

TRM Labs Inc. is a blockchain intelligence company that provides a platform focused on token relationship management, utilizing machine learning to assist clients in managing customer relationships and detecting suspicious activities. The platform offers solutions for on-chain anti-money laundering (AML) compliance, including customer due diligence, transaction monitoring, and relationship management specifically tailored for digital asset firms. Additionally, TRM Labs develops enterprise applications and tools that enable organizations to launch blockchain-based products aimed at identifying fraudulent activities such as money laundering and market manipulation. Founded in 2017 and headquartered in San Francisco, California, the company serves a diverse clientele, including financial institutions, cryptocurrency businesses, and government agencies, and has established partnerships with notable organizations such as PayPal, Visa, and federal agencies. TRM Labs is committed to enhancing the safety of the financial ecosystem through advanced data engineering and threat intelligence, backed by a team of experts with extensive experience in law enforcement and technology.

Deliverr, Inc. is a San Francisco-based company founded in 2017 that specializes in order fulfillment services for e-commerce retailers. The company provides shipping solutions designed to help online businesses meet shipping standards and avoid penalties associated with late shipments. By leveraging machine learning and predictive intelligence, Deliverr's platform enables sellers to offer various shipping options and access services such as warehousing, order handling, and packaging. This tech-enabled approach allows sellers of all sizes to fulfill orders efficiently, improve customer satisfaction, and expand their market reach through fast and cost-effective fulfillment solutions.

Socure Inc. is a provider of digital identity verification solutions, focusing on real-time identity authentication through its Socure ID+ platform. This predictive analytics platform utilizes artificial intelligence and machine learning to authenticate identities by analyzing a multitude of online and offline data sources, including email, phone numbers, addresses, IP addresses, and social media profiles. Socure's offerings include Aida, an AI-driven bot for validating digital identities, Docv, an omnichannel document verification solution, and Sigma Synthetic Fraud, which tackles synthetic identity fraud. The company addresses the needs of various sectors, including software, consulting, and financial firms, through compliance initiatives such as customer identification programs, know your customer requirements, and anti-money laundering measures. Founded in 2012 and headquartered in New York, Socure has established partnerships with key industry players to enhance its service delivery.

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 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, 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 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 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.

Spring Health is a digital healthcare company specializing in mental health solutions for employers and health plans. The company employs Precision Mental Healthcare, utilizing assessment and machine-learning technology to identify the unique mental health needs of individuals. This approach allows Spring Health to deliver tailored care plans that may include digital support, meditation exercises, coaching, therapy, and medication. By modernizing behavioral health benefits, Spring Health aims to enhance employee well-being through an effective and personalized mental healthcare experience.

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 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 is a technology company based in Los Altos, California, founded in 2016, that leverages machine learning and artificial intelligence to enhance construction processes. The company has developed an onsite data collection platform that provides detailed real-time analysis of construction site performance. Installed under the hook of cranes, this innovative technology captures and analyzes various data points, offering insights into materials, construction progress, and crane utilization. By delivering actionable information, VERSATILE enables construction managers to make informed decisions, improving project execution efficiency and reducing costs.

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

Moloco Inc., founded in 2013 and based in Palo Alto, California, specializes in programmatic advertising solutions aimed at optimizing client acquisition, retention, and monetization strategies. The company offers a cloud-based demand-side platform that leverages machine learning to help businesses of all sizes enhance user acquisition and maximize lifetime value through predictive models. Additionally, Moloco provides a mobile e-commerce platform that supports targeted re-engagement campaigns, allowing application publishers and e-commerce platforms to expand their customer reach more effectively than traditional advertising methods. With a team comprised of top talents from leading tech firms, Moloco is committed to empowering mobile businesses to thrive in a competitive landscape.

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, 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, 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, Inc. is a Boston-based company that specializes in developing an automated machine learning platform aimed at empowering enterprises to construct predictive models efficiently. Its offerings include DataRobot Cloud, a cloud-based platform for predictive analytics, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. Additionally, DataRobot Enterprise provides features tailored for large organizations, such as flexible deployment options, governance, and comprehensive support. The company's solutions cater to a diverse clientele, including business analysts, data scientists, executives, and IT professionals across various sectors such as banking, healthcare, and manufacturing. Founded in 2012, DataRobot has expanded its operations internationally, with locations in London, Paris, Kyiv, Tokyo, and Singapore, and maintains a strategic partnership with Snowflake to enhance its offerings.

Outreach Inc. is a Seattle-based company that specializes in sales engagement solutions designed to enhance revenue growth by streamlining customer interactions across various channels, including email, voice, and social media. Founded in 2011, Outreach offers a platform that utilizes machine learning to automate repetitive sales tasks, optimize communication, and provide real-time insights based on buyer sentiment. Its features include account-based sales solutions, task management, and comprehensive tracking of email and activity metrics. Outreach's clientele encompasses major companies such as Zoom, Okta, Adobe, and Microsoft, which depend on its technology to improve sales efficiency and effectiveness. The company also maintains an office in London, United Kingdom.

PathAI, Inc. is a technology company that specializes in developing artificial intelligence solutions for pathology laboratories. Founded in 2016 and headquartered in Boston, Massachusetts, with an additional office in Austin, Texas, PathAI focuses on enhancing the accuracy and efficiency of cancer diagnosis and treatment. The company's platform employs machine and deep learning techniques to analyze large datasets, assisting pathologists in making rapid and precise diagnoses for patients. By addressing complex challenges in pathology, PathAI aims to facilitate personalized medicine and improve patient outcomes by identifying individuals who may benefit from innovative therapies.

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, Inc. is a technology company specializing in the development of high-performance computing solutions for artificial intelligence, machine learning, and deep learning applications. Based in Mountain View, California, Groq manufactures accelerators and chips featuring its proprietary Tensor Streaming Processor architecture, which delivers up to 250 trillion floating-point operations per second. The company's technology is designed to manage complex computations efficiently, focusing on high performance while minimizing power consumption, making it suitable for large-scale AI deployments. Groq's deterministic single-core streaming architecture allows for predictable performance and compute times, enabling organizations to enhance their workloads in AI and quality-performance computing. Founded in 2016, Groq aims to streamline the qualification and deployment of scalable, high-efficiency systems for its customers.

Scale AI, Inc. is a data platform provider specializing in training and validation data for artificial intelligence applications. Founded in 2016 and headquartered in San Francisco, the company offers various annotation tools including Scale Image for image data, Scale Video for video data, Scale Text for text data, and Scale Document for intelligent document processing. Its advanced platform also includes Scale Nucleus, which helps manage user data. Scale AI's products support a wide range of sectors, such as autonomous vehicles, retail, conversational AI, and robotics, facilitating tasks like content moderation and transcription. By focusing on providing high-quality labeled data, Scale AI enables organizations to accelerate the development of AI technologies, allowing clients to concentrate on building innovative models rather than data preparation.

6sense is a developer of a predictive intelligence platform that enhances revenue growth for organizations. The company utilizes artificial intelligence, big data, and machine learning to provide comprehensive visibility across the customer journey, from brand awareness to revenue generation. Its platform captures anonymous buying signals and buyer intent data, allowing sales, marketing, and customer success teams to target the right accounts effectively. By recommending optimal channels and messages, 6sense removes guesswork and inefficiencies from the sales process, leading to improved pipeline quality, accelerated sales velocity, and higher conversion rates. Through its innovative approach, 6sense aims to empower revenue teams to grow revenue predictably and efficiently.

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 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.

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.

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

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 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, 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, Inc. is a data platform provider specializing in training and validation data for artificial intelligence applications. Founded in 2016 and headquartered in San Francisco, the company offers various annotation tools including Scale Image for image data, Scale Video for video data, Scale Text for text data, and Scale Document for intelligent document processing. Its advanced platform also includes Scale Nucleus, which helps manage user data. Scale AI's products support a wide range of sectors, such as autonomous vehicles, retail, conversational AI, and robotics, facilitating tasks like content moderation and transcription. By focusing on providing high-quality labeled data, Scale AI enables organizations to accelerate the development of AI technologies, allowing clients to concentrate on building innovative models rather than data preparation.

Spring Health is a digital healthcare company specializing in mental health solutions for employers and health plans. The company employs Precision Mental Healthcare, utilizing assessment and machine-learning technology to identify the unique mental health needs of individuals. This approach allows Spring Health to deliver tailored care plans that may include digital support, meditation exercises, coaching, therapy, and medication. By modernizing behavioral health benefits, Spring Health aims to enhance employee well-being through an effective and personalized mental healthcare experience.

DataRobot, Inc. is a Boston-based company that specializes in developing an automated machine learning platform aimed at empowering enterprises to construct predictive models efficiently. Its offerings include DataRobot Cloud, a cloud-based platform for predictive analytics, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. Additionally, DataRobot Enterprise provides features tailored for large organizations, such as flexible deployment options, governance, and comprehensive support. The company's solutions cater to a diverse clientele, including business analysts, data scientists, executives, and IT professionals across various sectors such as banking, healthcare, and manufacturing. Founded in 2012, DataRobot has expanded its operations internationally, with locations in London, Paris, Kyiv, Tokyo, and Singapore, and maintains a strategic partnership with Snowflake to enhance its offerings.

Hyperscience is a technology company specializing in artificial intelligence-based enterprise software that automates office work processes. Its software leverages machine learning to efficiently handle structured and semi-structured documents, facilitating automated data entry, extracting essential details from invoices, and reconciling compliance-driven data. By streamlining complex processes, Hyperscience aims to enhance productivity for organizations and governments, thereby modernizing mission-critical operations.

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 is a technology company specializing in artificial intelligence-based enterprise software that automates office work processes. Its software leverages machine learning to efficiently handle structured and semi-structured documents, facilitating automated data entry, extracting essential details from invoices, and reconciling compliance-driven data. By streamlining complex processes, Hyperscience aims to enhance productivity for organizations and governments, thereby modernizing mission-critical operations.

FortressIQ, Inc. is a technology company that specializes in artificial intelligence-based robotic process automation. Founded in 2017 and headquartered in San Francisco, California, it focuses on providing enterprises with real-time, end-to-end insights into their business processes. The company's platform utilizes advanced techniques such as machine learning, computer vision, and natural language processing to analyze live activities and discover valuable insights. FortressIQ's solutions encompass various areas, including employee experience, system optimization, process redesign, and value engineering. By promoting the responsible use of AI, FortressIQ aims to enhance digital transformation and unlock the potential of the workforce in enterprises.

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

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, Inc. is a Boston-based company that specializes in developing an automated machine learning platform aimed at empowering enterprises to construct predictive models efficiently. Its offerings include DataRobot Cloud, a cloud-based platform for predictive analytics, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. Additionally, DataRobot Enterprise provides features tailored for large organizations, such as flexible deployment options, governance, and comprehensive support. The company's solutions cater to a diverse clientele, including business analysts, data scientists, executives, and IT professionals across various sectors such as banking, healthcare, and manufacturing. Founded in 2012, DataRobot has expanded its operations internationally, with locations in London, Paris, Kyiv, Tokyo, and Singapore, and maintains a strategic partnership with Snowflake to enhance its offerings.

DotLab is a women's healthcare technology company that focuses on improving the diagnosis of active endometriosis. Utilizing biomarkers and machine learning, the company has developed a non-invasive tool that addresses the complexities of endometriosis recognition. By employing a multi-analyte, algorithmic approach, DotLab enables women to receive early diagnoses of active endometriosis, facilitating timely treatment and better management of the condition. This innovation represents a significant advancement in the identification and treatment of endometriosis, aiming to enhance the overall healthcare experience for women affected by this disease.

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 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 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 is a global innovator in mobile photography and video applications, known for its proprietary facial recognition and virtual makeup try-on technologies. Since its inception in 2008, the company has developed a suite of popular apps, including MeituPic, Meipai, SelfieCity, BeautyCam, BeautyPlus, Airbrush, and MakeupPlus, which have collectively reached over 1 billion unique device installations. Meitu aims to create a mobile beauty ecosystem that enables users to discover, experiment with, create, and share new looks directly from their smartphones. In addition to its software offerings, Meitu is involved in the smart hardware sector, producing products such as the MeituEve AI skin analyzer and the Meitu Genius smart mirror. With a workforce of around 900 employees and offices in China, Santa Monica, and Palo Alto, Meitu is expanding its global presence, particularly in Latin America, Europe, the Middle East, and Asia Pacific. The company is actively seeking skilled professionals in various domains to support its growth strategy.

Yandex is a Russian internet and technology company, operating the largest search engine in Russia and the most visited website in the country. It develops and provides a range of internet-based services and products, including transportation services, navigation products, and mobile applications, all powered by machine learning. Yandex's services span search and portal, e-commerce, mobility, delivery, entertainment, classifieds, and media, generating revenue primarily from its search and portal segment in Russia, Belarus, and Kazakhstan.

Yandex is a Russian internet and technology company, operating the largest search engine in Russia and the most visited website in the country. It develops and provides a range of internet-based services and products, including transportation services, navigation products, and mobile applications, all powered by machine learning. Yandex's services span search and portal, e-commerce, mobility, delivery, entertainment, classifieds, and media, generating revenue primarily from its search and portal segment in Russia, Belarus, and Kazakhstan.

Yandex is a Russian internet and technology company, operating the largest search engine in Russia and the most visited website in the country. It develops and provides a range of internet-based services and products, including transportation services, navigation products, and mobile applications, all powered by machine learning. Yandex's services span search and portal, e-commerce, mobility, delivery, entertainment, classifieds, and media, generating revenue primarily from its search and portal segment in Russia, Belarus, and Kazakhstan.

Yandex is a Russian internet and technology company, operating the largest search engine in Russia and the most visited website in the country. It develops and provides a range of internet-based services and products, including transportation services, navigation products, and mobile applications, all powered by machine learning. Yandex's services span search and portal, e-commerce, mobility, delivery, entertainment, classifieds, and media, generating revenue primarily from its search and portal segment in Russia, Belarus, and Kazakhstan.

Yandex is a Russian internet and technology company, operating the largest search engine in Russia and the most visited website in the country. It develops and provides a range of internet-based services and products, including transportation services, navigation products, and mobile applications, all powered by machine learning. Yandex's services span search and portal, e-commerce, mobility, delivery, entertainment, classifieds, and media, generating revenue primarily from its search and portal segment in Russia, Belarus, and Kazakhstan.