OliverDB Cloud. Load data, run queries.
Dedicated or serverless, without a sizing exercise or manual provisioning. OliverDB Cloud is coming soon.
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Humans want AI. AI wants Oliver.
Today, the most demanding workloads in the world are petabyte‑scale, running across thousands of compute nodes. With OliverDB, that collapses onto just a few nodes, or even a single GPU — with orders‑of‑magnitude faster queries and more precise answers for the agents using them. Not an upgrade. A paradigm shift.
Every data platform meters compute usage — but agent workloads make that expensive and unpredictable. Oliver offers unlimited query compute for a flat monthly fee, scoped to your deployment and benchmarked against what you pay today.
See the numbersSee, govern, and improve every agent interaction with your enterprise data — from Postgres to ClickHouse to Snowflake, and OliverDB. Trust your agents.
See how it worksSmall models work together, testing competing hypotheses, sharing accumulated reasoning, and converging on consensus — cutting token costs and dependence on frontier models.
See the swarmColumnar storage, memory‑to‑SSD‑to‑object tiering, and per‑file indexes mean Oliver answers analytical queries in the time a warehouse spends planning one. The same architecture can collapse a multi‑petabyte data estate onto a single GPU — or a handful of CPU nodes — with orders‑of‑magnitude better performance.
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.
Oliver builds custom UIs in minutes.
Choose dedicated or serverless, load your data, and start running queries — no sizing exercise, no manual provisioning. Managed, isolated, predictable.
Hundreds of small models work together — not one frontier model reasoning alone — testing competing hypotheses simultaneously and converging on consensus. That means better accuracy and more reliable outputs, plus dramatically lower token costs and far less dependency on expensive frontier models.
Oliver ingests continuously from Postgres, ClickHouse, Snowflake, and Databricks — batch and CDC, any shape resolved on the way in. Agents query Oliver directly: faster, safer, and more precise than querying the source systems ever was.
Meet Luna. She turns Oliver's resolved data into dashboards that build themselves — no queries, no config. Just answers, drawn.
Oliver's Agent Flight Control sits between your agents and the databases they use — Postgres, ClickHouse, Snowflake, OliverDB, and beyond. Each agent gets its own policy, deterministically compiled directly into every query — masking sensitive data and blocking anything out‑of‑scope before it runs. Every action is logged and attributable, so you can alert, pause, or require approval in real time. And because every run writes its reasoning back, agents learn from each other and keep getting better.
Just because you like your data platform doesn't mean your agent does.
Let your agent choose Oliver.