The Data for AI Platform
Give your stack the business context it’s missing.

AI, apps, and analytics all work from the same governed, context-rich data foundation. No rebuild required.

Trusted by the Fortune 500 and beyond.
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THE CHALLENGE: NO SHARED SEMANTIC LAYER

Your AI shouldn't have to search for context. ​
Your data should arrive with it.

AI, applications, and analytics need data that's immediately understandable, trusted, and ready to act on. Most enterprise data stacks aren't built for that.

Your Agents Keep Hallucinating
Without a consistent, shared semantic layer, AI agents fill in the gaps, producing inaccurate answers and unpredictable outcomes.
LLM Costs Keep Rising
Every prompt spends time reconstructing context instead of solving the problem, driving up token usage and infrastructure costs.
The Answers Don't Match
When there's no shared semantic layer, every team works from a different definition of the same data. So the answers don’t match.
Every New Project Starts Over
Teams repeatedly prepare, validate, and reconcile the same data instead of building on and reusing what's already been done.
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THE SOLUTION

With DataOS, build once, reuse everywhere.

Data warehouses store it. Catalogs organize it. Governance protects it. DataOS brings it together.

DataOS adds the missing layer that gives every application and AI the same governed, context-rich foundation, without replacing what you've built.

Recognized by experts. Proven by results.
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THE IMPACT: FASTER AI, LOWER COST

Faster AI. Better Decisions. Lower Cost.

When context, governance, and quality are built in, everything downstream gets faster, more accurate, and less expensive to run.

80
%
faster time to insight
10
x
Faster decisions
50
%
Lower data costs

SUCCESS STORY

How Lenovo Built a Foundation for GenAI with DataOS

The Challenge: Over 160 million connected devices generated continuous telemetry, but the data remained fragmented across systems and teams.
The Solution: DataOS created reusable data products that unified telemetry into a trusted operational view without replacing Lenovo's existing platform.
“With DataOS, developers shifted from 'just producing tables' to building reliable, discoverable data products with clear ownership and governance, and a direct line to driving business results.”
– Head of Engineering, Global Innovation Center, Lenovo
80%
faster development cycles
50%
reduction in data engineering
9x
faster time to implementation
Zero
data prep to power AI/ML predictive analytics

NO DISRUPTION

Built to Work with What You Have
Runs
anywhere
AI-ready data products operate across clouds, compute engines, and platforms—no migration, lock-in, or rebuilds required.
No rip-and-
replace
DataOS connects to your existing warehouses, lakes, tools, and systems—making them more useful, more reliable, and dramatically more efficient.
Activation-ready
out of the box
No prep. No manual cleaning. No rework. Trusted data products built on your data stack can be activated instantly for analytics, apps, automation, and AI.

WORKS WITH SNOWFLAKE, DATABRICKS AND BEYOND

Already running Snowflake or Databricks?

DataOS is what comes next.

Snowflake, Databricks, BigQuery, and more are built to store, process, and serve data. What they don't do natively is transform that data into reusable, governed data products with the business context AI needs.

Without DataOS

  • Data is platform-ready
  • AI follows your platform
  • Business understanding is recreated
  • Costs increase as AI grows

With DataOS

  • Data is AI-ready
  • AI follows your business
  • Business understanding is reused
  • Value compounds as AI scales

RESOURCES

Learn more about why enterprise AI starts at the data layer

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The Latest Practitioner Insights
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The Data Activation Gap Guide
Your AI is only as effective as the data behind it.
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DataOS makes enterprise data ready
for every application and AI—without rebuilding your stack.