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§ Private Profile · Austin, TX, USA
A data discovery and catalog platform enabling teams to find, share, and analyze enterprise data using knowledge graph technology.
Founded in July 2016 by Brett Hurt and Bryon Jacob, data.world is a data discovery and catalog platform based in Austin, Texas, that utilizes knowledge graph technology to help enterprises find, share, and analyze their internal data assets. Advised by notable figures like former United States Chief Data Scientist DJ Patil, the platform integrates seamlessly with widely used tools such as Tableau, Excel, and Python. Operating under a subscription SaaS model, the company serves enterprise clients across major industry verticals, including financial services, healthcare, higher education, insurance, and government agencies. Prior to its recent acquisition, the firm raised over $150 million in venture capital funding to scale its global operations and expand its reach. In July 2024, the enterprise software corporation ServiceNow acquired the business to integrate its data cataloging capabilities into its broader artificial intelligence platform.
Data.world has raised $176.7M across 9 funding rounds.
Data.world has raised $176.7M in total across 9 funding rounds.
data.world is a technology company that operates as a public benefit corporation, building the world's largest open data community and enterprise data platform. It creates a collaborative "GitHub for data" to break down data silos, enabling users to find, understand, and use data through semantic web technologies, knowledge graphs, and AI tools like the AI Context Engine for LLMs.[1][3][4] The platform serves data professionals, enterprises, researchers, and enthusiasts by solving the problem of siloed data in a networked world, fostering global collaboration on public and private datasets for innovation and societal problem-solving.[1][3][5] With over two million community members, hundreds of thousands of public datasets, and recent Series C funding from Goldman Sachs, data.world demonstrates strong growth, including new features, enterprise catalog expansions, and recognition as a top workplace.[4]
data.world was founded in stealth mode and publicly launched on July 11, 2016, converting from a C Corporation to a public benefit corporation on the same day, with 100% shareholder approval to prioritize social and environmental responsibility.[3][5] Co-founder and CEO Brett Hurt, along with the team, drew inspiration from Tim Berners-Lee’s vision of the internet as linked datasets, aiming to create a global platform for collaborative data work beyond siloed systems.[1][5] The idea emerged from recognizing data's potential if made abundantly accessible, starting with a mission to build "the most meaningful, collaborative, and abundant data resource in the world."[1][3][4] Early traction included rapid community growth to become the world's largest open data community by November 2016, followed by pivotal features like Data Projects in 2017 to enhance collaboration.[5] The name "data.world" reflects its three-pronged strategy: a worldwide platform, enterprise technology, and data marketplace.[1]
(Note: Search results distinguish this from "data world," a separate SAP consulting firm founded in 1993.[2])
data.world rides the wave of data democratization and AI proliferation, addressing siloed data in an era where LLMs demand accessible, linked datasets to unlock creativity across public and private sources.[1][5][7] Timing aligns with explosive growth in generative AI, enterprise data catalogs, and open data movements, amplified by market forces like regulatory pushes for data usability and collaborative tools post-pandemic.[3][4][6] It influences the ecosystem by powering unified data workflows for enterprises, universities, and researchers, fostering a network of mission-aligned organizations for social good, and setting standards for meaningful data through semantic tech.[3][6]
data.world is poised to expand its AI Context Engine and enterprise catalog amid rising LLM adoption, potentially dominating collaborative data platforms as data abundance becomes critical for AI-driven insights.[1][4][7] Trends like knowledge graphs, open data for social impact, and hybrid public-private ecosystems will shape its path, evolving its influence from community hub to indispensable infrastructure for global problem-solving.[3][5] This positions data.world to fulfill its founding vision, turning siloed data into a shared asset that powers innovation for humankind.[1][4]
Data.world has raised $176.7M across 9 funding rounds. Most recently, it raised $50.0M Series C in April 2022.
Data.world has raised $176.7M in total across 9 funding rounds.
Data.world's investors include Mike Reilly, Bain Capital, Fyrefly VC, Lead Edge Capital, Next Coast Ventures, OurCrowd, Shasta Ventures, Dave A. Liu, Paul Albright, Richard Braddock, Scott Stephenson, Zachary Karabell.