Where Enterprise Data Becomes AI Ready

DataOS makes AI faster, more accurate, and more cost-effective, without rebuilding your data stack.

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See How it Works

Recognized by experts. Proven by results.

THE CHALLENGE

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

You built a data foundation of warehouses, integration tools, catalogs, and governance. But your data still arrives without the business understanding AI needs.

You need a layer that makes the data you have immediately understandable, reusable, and actionable for AI. DataOS is that data activation layer.   

Trusted by the Fortune 500 and beyond.

THE IMPACT WTH DATAOS

Faster AI. Better Decisions. Lower Cost.

When every application, model dashboard, and AI agent draws from the same context-rich data products, the cost of understanding data drops dramatically.

Less preparation and less duplication. Lower AI processing costs.
Faster decisions at enterprise scale.

faster time to insight

Faster decisions

Lower data costs

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THE MISSING LAYER

Already running Snowflake or Databricks?

DataOS is what comes next.

Snowflake, Databricks, BigQuery, Microsoft Fabric, and similar platforms are designed to store, process, and serving data. What they don’t do natively is transform data into reusable AI-ready data products.

Without DataOS

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

WithDataOS

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

SUCCESS STORY

How Lenovo Built a Foundation for GenAI with DataOS

The Challenge: Over 160 million devices streaming continuous telemetry, the raw material for predictive maintenance and new revenue. What it lacked was a way to act on it. The data was collected. It was not connected. Other approaches offered multi-year timelines,

The Solution: DataOS layered into their existing stack without disruption. Within 8 weeks, Lenovo moved from prototype to production, unifying telemetry data into a Device360 data product, giving teams a single view of performance, risk and operational health.

“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

faster time to implementation

Zero

data prep to power AI/ML predictive analytics

Read the Lenovo Story

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.

Every generation of technology changes what businesses expect from data.

First it was storage. Then analytics. Now it's understanding.

The organizations that thrive won't simply have more data. They'll have data that's ready to be trusted, reused, and acted on, by people and AI alike.

Because in the AI era, competitive advantage won't come from having more data. It will come from turning data into better decisions, faster innovation, and lasting business value.

Where Enterprise Data ​ Becomes AI Ready

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