Turn data chaos into clarity

The enterprise data catalog that CIOs, governance professionals, data analysts, and engineers trust in the AI era.

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AI-ready from Day One

While others scramble to adapt, we built data.world with AI in mind. Our knowledge graph turns your entire data ecosystem into a living, learning brain - ready for whatever comes next.

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Enterprise search that data teams love

Give your analysts and engineers Google-like search that understands technical context and business meaning.

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Govern

Automate with confidence

Set governance on autopilot with smart workflows that adapt to how your team works.

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Connect

Break down data silos

Create one unified view of your entire data landscape, from source to insight.

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AI apps you can trust

The AI Context Engine enables organizations to get accurate, explainable, and governed responses from LLMs. Now, you can adopt AI-powered applications like never before.

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Build Better AI Apps

Turn your messy data into precise AI answers. Our governance platform delivers 4.2x more accurate insights by actually understanding what your data means. 

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Masters of meaning

Most platforms see data as digits and strings. We see relationships, context, and business logic - the building blocks of truly intelligent AI. That's why leading enterprises trust us to power their AI initiatives.

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Cloud-native, drama-free

No hidden costs. No infrastructure headaches. Just continuous innovation delivered straight to your team. Scale effortlessly as your needs grow.

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4.2x more accurate

Knowledge graph technology turns raw data into real knowledge. The result? AI that delivers precise answers instead of best guesses.

Why choose data.world

Customers, analysts, and 
press agree on data.world

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4.7 out of 5 stars for Metadata Management Solutions

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Leader in the Forrester Wave™: Enterprise Data Catalogs for DataOps, 2022

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Highest Scores Possible in Data Governance and Management in the Forrester Wave™: Data Governance Solutions, Q3 2021

Gigaom.

"Most innovative vendor" in 
the GigaOm Radar for Data 
Catalogs, 2022

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