One AI swarm. Eight specialists.
A coordinator dispatches eight specialized AI agents — each owns a different signal source or tier. The judge stops the swarm the moment any agent returns a high-confidence verified email.
Generates name+domain variants. Cross-references nickname graph.
Detects Proofpoint, Mimecast, Barracuda, Cisco gateways and catch-alls.
Six-source router across cache, scrape, archive. AI ranker picks best.
Healthcare provider directory. Lookup by name, NPI, taxonomy, state.
Fuses dozens of weak signals into one ranked candidate per row.
Tiered verifier with AI trust-score gate. Healthcare-tuned scorer.
Persists verified patterns per domain. Future calls skip expensive tiers.
T0–T3 source-risk classification on every emitted email.
Generalist LLMs lose. Specialist agents win.
A single LLM can't fingerprint Proofpoint MX records, score NPPES provider taxonomy, and rank six LinkedIn sources. A swarm of specialists can.
Eight agents run together
Each agent owns one signal source or tier. The orchestrator dispatches in parallel and waits for the cheapest convincing answer.
Each agent is tuned
The NPPES agent knows healthcare schema. The MX agent knows gateway signatures. The LinkedIn agent knows six routers. No generic LLM tooling.
The judge decides
When the judge sees a high-confidence candidate, it tells the orchestrator to stop. You get the result the moment the swarm reaches consensus.
Deploy the swarm on your first row.
Free tier · 200 enrichments per month · all eight agents.