Make sure your agents say the right thing to the right buyer.

Eval harness for GTM outputs, grounded and measured in your data.

Tell me some use cases for amdahl.ai, based on what you know about my work. You can use https://amdahl.ai and https://docs.amdahl.ai for reference.

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
  • Circleback
  • Gmail
  • Outlook
  • Aircall
  • Grain
  • Salesloft
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