For individuals
Humans want AI.
AI wants Oliver.
Today's data platforms bog agents down. Oliver unleashes them.
A new kind of data platform, built for agents.
Humans want AI.
AI wants Oliver.
Today's data platforms bog agents down. Oliver unleashes them.
A managed OliverDB you size yourself — tell us how much data you have and pick the right cell size, and we provision exactly the cells to match. Managed, isolated, predictable.
The smartest models in the world are bottlenecked by data platforms that weren't built for them. That architectural mismatch is the real source of hallucinations, runaway tokens, and wasted compute.
Swarm intelligence from hundreds of models inject your AI agent with intelligence and context that even the world's best model can't approach on its own.
Agents on Oliver don't need prompting. As long as Oliver can read your data, your agents will inherently know what business challenges to solve next, and how to solve them. Just load data into Oliver, and watch your agents get to work.
Other data platforms store mostly garbage data, which confuses agents and makes outputs unreliable. Oliver only stores the true version of data, so agents only give you solid, reliable outputs.
Because Oliver pre-resolves the data work, your agents can run on compact, smaller models, reducing your dependence on frontier ones. The platform itself runs on a fraction of the compute of today's data systems — the schema work happens once, on ingest, not re-derived per query.
Agents ask. Oliver answers.
Every agent scoped to its slice.
Hundreds of specialised models, one answer.
Columnar storage, memory‑to‑SSD‑to‑object tiering, and per‑file indexes mean Oliver answers analytical queries in the time a warehouse spends planning one — fast on the hot tier, fast on warm, fast even on cold object storage.
Your data already flows from operational Postgres into Snowflake or Databricks. Oliver wraps the whole stack — fed by batch and CDC, any shape resolved on the way in — and your agents connect to Oliver, not the warehouse. Faster, safer, more precise.
Meet Luna. She turns Oliver's resolved data into dashboards that build themselves — no queries, no config. Just answers, drawn.
Give agents the keys — keep the guardrails. Oliver's programs are declarative, so it knows exactly what a key will touch before it runs, then denies, clamps, and redacts deterministically. IAM, built for agents.
Just because you like your data platform doesn't mean your agent does.
Let your agent choose Oliver.