Product · OliverDB Swarm

One conductor. Many angles.

Swarm turns a question into an investigation. Small models test competing hypotheses against your data, share what they find through Oliver’s persistent reasoning layer, and report grounded, cited findings to the conductor. Each run starts from what prior agents already learned — and can return inconclusive when the evidence does not support an answer.

grounded findings adversarial angles policy-scoped efficient fan-out
confirmbee · 07✓ cited

p99 latency rose 41% at 09:12 — the deploy window overlaps.

refutebee · 03✓ cited

No regression in EU — the rise is confined to one region.

alternativebee · 11✓ cited

One tenant’s retry storm explains most of the spike.

→ the conductor weighs all three.
bees query the data themselves — findings come back cited, not imagined
What it gives you

Investigation, not guesswork.

ground

Grounded, not guessed

Each model queries the data before it answers and cites the evidence behind its finding. Inconclusive is a valid answer when the data does not support a conclusion.

angles

Adversarial by design

Send angles, not just questions: one bee confirms, one refutes, one hunts the alternative explanation. You get a many-perspective read, not a single model’s take.

economics

Heavy thinking stays with your agent

The conductor poses the task and judges the findings. The fan-out runs on small, fast models — broad investigation at a fraction of frontier-model cost.

govern

Scoped to the lane

Each bee is confined by a policy: it physically can’t read data outside its scope. Point it with a focus; fence it with a key.

connect

Plugs in anywhere

Connect through a standard MCP tool, an HTTP service with async jobs and a searchable feed of past findings, or a CLI.

scale

Scale by repointing one URL

The same swarm runs on a laptop or a many-worker GPU box. Dev and prod behave identically — repoint one URL to scale.

Small models, made powerful by grounding — and accumulated reasoning.

Part of the Oliver platform

The swarm needs somewhere to land.

OliverDB Engine
The database the bees query

Embeddable, cellular, and policy-scoped — the analytics engine every bee runs against.
Agent Flight Control
Your databases, fenced

The same policy discipline — rewrite, don’t validate — in front of Postgres, Snowflake, and ClickHouse.

Give your agent a swarm.

Request access Explore the platform