Go-to-market, like an engineer.
Evals for GTM.
Evaluate and optimize agent outputs using your first-party data. Catch quality regressions, auto-tune prompts, and preview buyer reactions before they’re live.
Connect Amdahl to your agents over MCP or REST.
claude plugin marketplace add amdahlco/amdahl-cookbook; claude plugin install amdahl-gtm@amdahl-cookbookOnce Amdahl is connected, see what you can try first
Continuously improve outputs based on your GTM ground truth.
Driven by statistical learning and causal analysis of what your buyers say, how they progress in your funnel, and what actually works.
0% time saved
Chore's marketing team reclaimed their week after moving content production onto Amdahl
0.0x win rate
Reps surface more first-call objections and close more — measured on our own data
0x viral reach
Multiple Chore posts hit 100,000 impressions against a 1,000 baseline
Search, Evaluate, Optimize, Simulate
Go-to-market, like an engineer.
Search
- Ground every agent output in what uniquely works in your go-to-market reality, instead of surface-level assumptions.
- Contextual retrieval your agents need: What to say, and to whom.
- Semantic search across what your buyers actually said across your first-party data, not the public web.
Budget freeze is the primary blocker, not product fit. 73% of stalled enterprise deals cite internal budget reallocation. Here's the breakdown:
Budget freeze is the #1 blocker
Concentrated in accounts with renewal dates in Q3. CFO-level freezes on net-new vendor spend above $100K.
Migration cost concerns surface in 12 of 38 stalled deals
Buyers want a managed cutover plan and a fixed-price quote. Existing playbook is Lattice case study.
- Which 38 accounts are affected?
- What did finance say in last week's calls?
- Show me Q3 renewal exposure by segment
- Compare to Q4 last year
0x
token efficiency
Raw MCPs firehose vast amounts of data into every agent call. Instead, Amdahl serves the most relevant context needed.
0.0x
more accurate
Our ML models achieve accuracy and depth that LLMs miss. No human revisions needed.
0.0x
more consistent
100% of LLM outputs cited in your customer intelligence data. No hallucinated insights or statistics.
0 mins
data freshness
5 minutes end-to-end data processing latency.
Evals based on your go-to-market ground truth.
Ship GTM that already passed the evidence bar of what resonates with your buyers. Score agent outputs against how deals actually played out.
Backed by world-class investors
