For Databricks, from 🤫 hussh
Open models, run on the owner's terms.
The lakehouse is where data and AI meet. We would love the models built there to power agents that answer to the person they serve.
What Databricks does best.
The strengths we would build on.
The lakehouse
One platform for data engineering, analytics and AI on open foundations.
Build and govern models
Complete tooling to train, govern and serve models responsibly.
Open by design
Open formats and standards that keep customers in control of their data and models.
Private, sovereign AI, with the person at the center.
Databricks brings what it does best. 🤫 Agent One brings the person: their consent, their data, their compute. Here is what that makes possible.
Owner-aligned models
Models built on Databricks can serve One's agents with governance intact.
Bring your own AI
One works with any model. Train on Databricks, run for the owner, on the owner's terms.
Governed end to end
Lineage and governance plus PCHP consent make agent intelligence auditable.
Build it. Sell it. Own it.
- 01
Build together
Build model pipelines on Databricks that serve owner-controlled agents.
- 02
Sell together
Enterprise agent intelligence, built and governed on the lakehouse.
- 03
Own it
Owned compute to run models trained on open, governed foundations.
The person at the center
The models that help you are built on open foundations and run on your terms.