Tiger Global Management

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.

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.

Flatfile Inc. is a company that specializes in data onboarding solutions, enabling developers to efficiently validate, map, and import CSV data from various web applications. Founded in 2018 and based in Denver, Colorado, Flatfile offers a platform that integrates seamlessly with software applications, allowing users to upload data through formats such as CSV, XLS, or TSV. Its key products include Portal, which provides an import button embedded via a JavaScript snippet, and Concierge, which creates secure collaborative workspaces for organizations to manage complex data ingestion challenges. The platform is designed to enhance developer productivity, reduce costs, and improve data quality by learning to identify and clean incoming data over time. Numerous companies, including AstraZeneca and Square, utilize Flatfile’s API-first platform to streamline their data import processes.

HIVERY is a software development company focused on enhancing retail assortment strategy through simulation and optimization solutions tailored for consumer packaged goods. Their precision category management platform assists clients in maximizing returns on physical space investments by offering intelligent product recommendations, price optimization, space rationalization, and effective promotional strategies. By leveraging algorithms, HIVERY enables packaged goods manufacturers and retailers to analyze their existing data, facilitating informed decision-making that transforms category management and trade promotion.

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.

Founded in 2015 by Sang Wenfeng, Sensors Data specializes in big data analysis services and user behavior insights. The company has developed an analytics platform that offers eight analysis models for comprehensive cross-analysis, allowing clients to deeply understand user behavior, evaluate marketing effectiveness, and enhance product experiences. Sensors Data serves over 300 clients, including notable companies like Ofo, a bike-sharing service, Keep, a fitness app, and Miaopai, a video-sharing platform. Through its professional consulting services, Sensors Data aims to improve operational efficiency and provide valuable insights into user behaviors for its diverse clientele.

Arcana is a company that provides a platform designed to assist institutional investors in analyzing their portfolio risks and performance. The platform enables users to decompose individual stock and overall portfolio performance, examine crowding within investments, and identify unique factors affecting their holdings. Utilizing proprietary datasets focused on crowding, ownership, factor risk, and performance, Arcana equips investors with the tools necessary to make informed decisions regarding their investment strategies.

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.

Ascend.io, based in Palo Alto, California, offers an advanced platform designed to streamline big data analytics and engineering workflows. The platform integrates essential capabilities such as data ingestion, transformation, delivery, orchestration, and observability into a unified solution, enabling data teams to operate significantly faster. By leveraging declarative configurations and automation, Ascend.io manages cloud infrastructure, optimizes data pipelines, and reduces maintenance throughout the data lifecycle. This innovative approach supports business managers in initiating projects and making informed decisions by simplifying connections to various applications. Recognized as a 2021 Gartner Cool Vendor, Ascend.io is supported by prominent venture capital firms and notable advisors in the tech industry.

Depict.ai, founded in 2019 and based in Stockholm, Sweden, develops a product recommendation engine aimed at enhancing e-commerce stores' capabilities. The software is designed to provide high-quality product recommendations comparable to those of major retailers, enabling smaller businesses to enhance their digital storefronts and compete effectively in the market. By democratizing access to advanced recommendation technology, Depict.ai allows clients to increase their overall revenue without the need for extensive sales data. This empowers brands to present their unique stories and identities more effectively, ultimately supporting their growth in a competitive landscape.

Guandata is committed to the philosophy of “AI+BI makes decisions more intelligent” and is committed to providing next-generation data analytics and business intelligence (BI) solutions to new retail, new finance, pan-Internet and integrated group customers.

Emesent is a technology company focused on automating the collection and analysis of critical data in challenging underground environments. Its flagship product, Hovermap, is a LiDAR-mapping and autonomy payload designed for industrial drones, enabling them to operate and map in GPS-denied areas such as underground mines. Through Hovermap and other innovative solutions, Emesent enhances efficiency, safety, and operational insights for clients in sectors like mining and infrastructure. The company's team of experienced roboticists and engineers is dedicated to advancing drone autonomy and data analytics for various industrial applications, making Emesent a leader in its field.

Superconductive is the creator of Great Expectations, an open-source tool for data testing, documentation, and profiling. Great Expectations has a vibrant community where both core contributors and community members provide each other support through channels like Slack and Discuss. They offer paid consulting services to organizations that would benefit from closer collaboration with the core Great Expectations engineering team. It was created in 2017 and is headquartered in Redwood City, California.

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.

Census is a data activation platform that specializes in synchronizing data warehouses with customer relationship management and operational tools. By utilizing Reverse ETL technology, Census enables businesses to transform their data into actionable insights without the need for custom scripts or significant engineering resources. This functionality allows marketing and sales teams to access and utilize reliable customer data effectively. Numerous companies, such as Fivetran, Canva, Sonos, and Figma, leverage Census to enhance their operations, leading to significant improvements like personalized marketing for millions of users, a tenfold increase in sales productivity, and a substantial reduction in support response times. Through its platform, Census aims to facilitate better decision-making and operational efficiency for its clients.

The Graph is an indexing protocol designed for querying data from blockchain networks such as Ethereum and IPFS, facilitating the development of decentralized applications (dApps). Developers can create and publish open APIs, known as subgraphs, which can be queried using GraphQL to access blockchain data. Currently, The Graph supports data indexing from Ethereum, IPFS, and POA, with plans to incorporate additional networks. It offers a hosted service to assist developers in building on the platform, while a decentralized network is set to launch soon. As of late 2020, over 3,000 subgraphs had been deployed by thousands of developers for various dApps, including Uniswap, Synthetix, and Decentraland. The Graph has experienced significant growth, with its usage increasing substantially month over month. To support its development, The Graph has raised funding from a broad range of community members and venture capitalists, totaling around $25 million.

Collibra is a data governance software company that offers an end-to-end Data Intelligence platform aimed at enhancing digital business transformation. Founded in 2008 and headquartered in Hoofdstedelijk Gewest, Belgium, Collibra's platform addresses the challenges of traditional data silos by providing organizations with access to trustworthy business intelligence. This facilitates users in locating the data they require, collaborating effectively, and comprehending its significance. By connecting data, insights, and algorithms, Collibra empowers all Data Citizens within an organization to make informed decisions and drive trusted business outcomes.

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.

Mono is a Nigerian company founded in 2020 that specializes in financial data infrastructure through its application programming interface (API) platform. This platform offers businesses the ability to access essential financial information, including bank statements, account verification, and payment initiation. Mono's services are designed to enhance onboarding and identification processes, particularly in emerging markets. By providing real-time access to financial data and enabling secure direct bank payments, Mono aims to empower companies of all sizes, from startups to large enterprises. The company's mission focuses on unlocking the potential of Africa’s financial system, facilitating economic growth by equipping businesses with the necessary tools to thrive in the digital economy.

Lifebit Ltd operates a genomic platform that provides a cloud-based cognitive system for analyzing DNA data. Founded in 2017 and based in London, the company develops Lifebit CloudOS, an intelligent platform that automates genomic analysis and utilizes artificial intelligence to generate insights comparable to human understanding. Its offerings include cloud storage, collaboration tools, and data analysis capabilities, facilitating scalable and reproducible research for organizations, including top pharmaceutical companies. Lifebit's platform enables researchers to conduct complex analyses, visualize large datasets from human genome sequencing, and democratizes access to omics data by integrating free open-source analysis with proprietary alternatives. This approach supports secure research over distributed big data, making genomic insights more accessible and actionable.

Spire Global, Inc. is a provider of satellite data services that specializes in delivering unique datasets and analytics to a variety of organizations. The company offers products such as Spire Sense, which tracks maritime activities for purposes including trade monitoring and search and rescue, and Spire Stratus, which provides global weather data. Spire utilizes one of the largest multi-purpose satellite constellations to gather valuable information that is enhanced with predictive analytics. This data is available via subscription to clients in sectors like mining, government, and maritime operations, enabling them to optimize business processes, reduce environmental impact, and manage risks effectively. Founded in 2012 and based in San Francisco, Spire also has offices in Glasgow and Singapore, positioning itself as a key player in the space-based data analytics market.

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.

Amperity is a developer of a customer data management platform designed to enhance customer initiatives through actionable data. The platform aggregates raw data from various sources, including e-commerce, email, and loyalty systems, to create a comprehensive and up-to-date view of customers. By standardizing and augmenting this information with custom attributes such as lifetime value, Amperity enables companies to connect with, identify, and understand their customers more effectively. This capability improves marketing performance, accelerates the generation of accurate customer insights, and facilitates the delivery of exceptional customer experiences. Amperity aims to empower both technical and business teams by streamlining data management processes, ultimately fostering long-term customer loyalty and driving growth for many well-known brands.

FairMoney is a mobile banking platform founded in 2017, operating from Paris, France, and Lagos, Nigeria. The platform specializes in providing credit to private and business borrowers, particularly targeting underbanked populations in emerging markets. By leveraging smartphone data, FairMoney develops an instant credit score for users, facilitating access to various loan types, including personal, business, medical, and car loans. The company has disbursed over 350,000 loans and aims to make financial services more accessible and affordable for millions in Africa and South-East Asia. With a team of 45 professionals and backing from European and American investors, FairMoney is committed to transforming the financial landscape for underserved communities.

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.

Prefect is a data workflow orchestration platform that enables data engineers to build, test, and run data workflows efficiently. Founded in 2018 by Jeremiah Lowin, the company has established hubs in Washington, DC, Chicago, and San Francisco. The platform is powered by the open-source Prefect engine and includes features such as flow code, dataflow, a graphic API, and an auto API. It allows users to manage dynamic logic through control flow patterns, handle both expected and unexpected errors, and add parameters for runtime templating and reuse. This functionality supports data engineers in executing complex workflows with greater control and reliability.

VAST Data, Inc. specializes in developing innovative data storage solutions, offering a universal storage platform that integrates Intel’s Optane SSDs as a cache for data stored on quad-level cell (QLC) SSDs. Founded in 2016 and headquartered in New York, with an additional office in San Jose, VAST Data serves various industries, including animation, visual effects, deep learning, and enterprise backup recovery. The platform is designed to accelerate time-to-insight for workload-intensive applications, providing scalable performance, simple data management, and improved productivity for AI-driven organizations. Since its launch in 2019, VAST Data has gained recognition as a rapidly growing player in the data infrastructure sector.

Komodo Health Inc. is a healthcare technology company that specializes in providing real-time healthcare intelligence and transparency through its innovative platform. Founded in 2014 and based in New York, with an additional office in San Francisco, the company offers a suite of software solutions, including its Healthcare Map, which tracks patient outcomes across the healthcare system. The platform utilizes advanced data science techniques and artificial intelligence to deliver insights that empower various stakeholders in the healthcare sector, including life science companies, payers, and providers. Key products such as Aperture, Pulse, and Serenity facilitate the analysis of complex healthcare connections, alert users to influence disease burden positively, and explore patient cohorts for deeper insights. By enabling a more cost-effective and value-driven healthcare system, Komodo Health aims to set a new standard for real-world data and analytics in the industry.

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 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.

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.

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.

The Harbr data commerce platform powers new revenue streams and accelerates data businesses. It provides a branded data storefront, to deliver a refined customer experience, and the ability to collaboratively build high-value, customized data products. Build and scale your data business with Harbr. It was founded in 2017 and headquartered in London, England.

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.

Snowflake Inc. is a cloud-based data platform that offers a comprehensive solution for data warehousing, data lakes, and data sharing. Founded in 2012 and headquartered in San Mateo, California, the company provides organizations of various sizes and industries with the tools to consolidate data into a single source of truth, enabling meaningful business insights and the development of data-driven applications. Snowflake's platform is designed to facilitate instant, secure access to a wide array of data, supporting multiple data workloads and making it suitable for modern data applications. The company's innovative approach allows enterprises to quickly buy and ingest data, significantly reducing the time required compared to traditional methods. With a customer base that includes over 3,000 organizations, nearly 30% of which are part of the Fortune 500, Snowflake is recognized for its cost-effective solutions that leverage the power of cloud technology.

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. 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.

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.

Amperity is a developer of a customer data management platform designed to enhance customer initiatives through actionable data. The platform aggregates raw data from various sources, including e-commerce, email, and loyalty systems, to create a comprehensive and up-to-date view of customers. By standardizing and augmenting this information with custom attributes such as lifetime value, Amperity enables companies to connect with, identify, and understand their customers more effectively. This capability improves marketing performance, accelerates the generation of accurate customer insights, and facilitates the delivery of exceptional customer experiences. Amperity aims to empower both technical and business teams by streamlining data management processes, ultimately fostering long-term customer loyalty and driving growth for many well-known brands.

Amperity is a developer of a customer data management platform designed to enhance customer initiatives through actionable data. The platform aggregates raw data from various sources, including e-commerce, email, and loyalty systems, to create a comprehensive and up-to-date view of customers. By standardizing and augmenting this information with custom attributes such as lifetime value, Amperity enables companies to connect with, identify, and understand their customers more effectively. This capability improves marketing performance, accelerates the generation of accurate customer insights, and facilitates the delivery of exceptional customer experiences. Amperity aims to empower both technical and business teams by streamlining data management processes, ultimately fostering long-term customer loyalty and driving growth for many well-known brands.