Unlock hidden opportunities.

Whatever you already have. Connect HubSpot, Salesforce, Pipedrive, a Google Sheet, a Postgres read-only user, or upload a CSV. Hunter–Seeker combines sources into one reproducible dataset, so you do not have to land everything in a warehouse first.

BI tools are a canvas — you decide what to look at. Revenue intelligence platforms tell you which deals or accounts are at risk and stop there. Hunter–Seeker closes the loop: we surface the pattern, pinpoint what to change for each customer, let agents act on it, and verify on the next run whether the outcome moved.

No. The Dataset Agent picks primary + enrichment sources, proposes joins, and flags leakage columns from a one-sentence goal. The discovery engine is deterministic — no model training, no retraining, no ML ops.

Every agent action — draft email, CRM writeback, Slack alert, verification email — is proposed as an ActionPlan row and goes through an approval queue. Outbound communication is always human-confirmed.

No. We do not train any ML or LLM models on your data. See /legal/data for where uploads live, how deletion works, and which sub-processors we use.

Each agent action is recorded as a tracked intervention. On the next pipeline run, the engine measures whether the outcome it predicted actually moved. You see the track record over time — which interventions worked, on which segments, with what effect size. Most platforms guess. We measure.

Free Forever for a single analysis. Growth is $149/month for connected sources, scheduled refresh, the full track record, and the agent fleet. Enterprise adds SSO, agent auto-execute, and Salesforce + warehouse.