Anonymous builderabout 2 months agoJudging locked: Self-Evolving Agents Hackathon

Accellio Voice

Accellio Voice briefs a seller before a meeting, reads the meeting itself, grades its own briefing against external ground truth, then rewrites its briefing policy and regenerates the briefing — with zero human inputs in between.

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Project description
Most voice agents forget the moment the call ends. Accellio gets better because of it. It briefs a seller before a CFO meeting from public signals, then reads the transcript itself - nobody types notes. It grades that briefing, rewrites its own briefing policy, and regenerates the briefing. Between the meeting ending and the better briefing appearing, human inputs: zero. The hard part is proving "it improved" isn't self-graded. Senso verifies each claim against its own ground truth and contradicted three of ours before our evaluator ran. Evaluation is deterministic checks first, Senso second, a model rubric last. The learning is mechanical, not cosmetic. Patches change evidence-reliability weights feeding Actian's vector ranking, so the next briefing retrieves different sources. Pioneer runs reasoning and embeddings. It also knows what it isn't entitled to decide. Down-weighting an evidence source across every account, on one meeting, is escalated to a human through Band — and the loop carries on without waiting. A reviewer agent we published to Guild, on their runtime, gives an independent second opinion. It usually says no. Five sponsor tools serve, each with a working fallback.
Project links
Tools used
  • Actian
  • Band
  • Pioneer
  • Guild.ai
  • Senso