Enterprise AI fails at the data layer. We fix that.
With DataOS, AI, apps, and analytics all work from the same trusted data foundation. No rebuild required.
Your data stack wasn't designed for the way
AI consumes data.
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.
.svg){kind=icon}
.svg){kind=icon}
With DataOS, build once, reuse everywhere.
Data warehouses store it. Catalogs organize it. Governance protects it. DataOS brings it together.
It adds the missing layer that gives every application and AI the same trusted foundation, without replacing what you've already built.
Faster AI. Better Decisions. Lower Cost.
Reduce duplicate work, lower AI costs, and deliver consistent answers across every application and team.
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
How Lenovo Built a Foundation for GenAI with DataOS
anywhere
replace
out of the box
Learn more about why enterprise AI starts at the data layer
for every application and AI—without rebuilding your stack.