Help your agents stay grounded and measurable.

Search and evals infrastructure for GTM AI.

Your agents can now self-improve on GTM outcomes, compound each other's wins, ship call prep without a data team, understand what drives revenue, and maintain themselves in prod.

Outbound agent (Self-improving drafts): Writes, gets graded, improves - nobody reviews 50 drafts by hand. Example run: evals.grade(draft_47, against: closed_won); verdict 2/5, "saves you time" - 9 lost deals, 0 won; search.query("how do winning reps phrase this?"); returns 9 cited quotes · closed-won only; verdict pass 5/5, revised · nobody edited a prompt

Research agent (Deal research): Cited answers from your deals and calls. Example run: search.query("why do enterprise deals stall in security review?"); returns 6 cited quotes · 4 accounts · ranked by relevance; search.query("what changed for buyers like Acme this quarter?"); returns 9 cited quotes · 5 min fresh

Pre-call agent (No data team): Built on enriched, cited deal data. Not raw transcript dumps. Example run: search.query("open objections + competitor mentions, Acme"); returns 8 cited quotes · security review is the stall; evals.grade(call_brief); verdict pass 5/5, every claim cited

Agent fleet (Shared learnings): What one agent learns, every agent retrieves. Example run: evals.grade(outbound draft); verdict pass 4/5, outcome joins the shared corpus; search.query("what won deals like Acme?"); returns your deal-desk agent retrieves it · cited

Client agent (After handoff): Deployed at your client, still learning their deals. Example run: search.query("what changed in their pipeline this week?"); returns 14 new graded signals · 5 min fresh; evals.grade(weekly_outputs); verdict pass 4/5, current with their closed deals

AmdahlSearch API+Evals API

corpus · 12,480 graded signals

Amdahl sits unopinionated under your stack. Your data stays yours.

Your data

  • Gong
  • HubSpot
  • Salesforce
  • Pipedrive
  • Slack
  • Granola
raw data

Amdahl

IngestTagClusterEnrich

Every record is tagged across ten dimensions: sentiment, persona, quality, deal stage, competitive signals, topics, psychographics, segment, outcome, confidence.

pricing objection

38% of stalls

security review

week 6, always

champion left

2.1x loss rate

  • Search API
  • Evals API
  • MCP
cited answers
queries

Your stack

  • Your context layer
  • Your agents
  • Your team

Go-to-market, like an engineer.

Driven by statistical learning and causal analysis of what your buyers say and how deals move through your funnel.

80% time saved

Chore's marketing team reclaimed their week after moving content production onto Amdahl

3.7x win rate

Reps surface more first-call objections and close more — measured on our own data

100x viral reach

Multiple Chore posts hit 100,000 impressions against a 1,000 baseline

SOC 2 Type II
Zero data retention with Anthropic
Tenant-isolated. Dedicated cloud option.
No training on your data.

Know what wins before your agent ships.

Backed by world-class investors

a16z SpeedrunPrecursor Ventures