Amdahl sits unopinionated under your stack.
Your data
Amdahl
- sentiment
- persona
- quality
- deal stage
- competitive signals
- topics
- psychographics
- segment
- outcome
- confidence
- Search API
Search API
Ask questions across your buyer data. Get cited answers, retrieved over an ML-enriched corpus.
docs→
- Evals API
Evals API
Grade any draft against your buyer data.
docs→
- MCP
MCP
Plug Amdahl into any agent, so it answers from your buyer data with citations.
connect→
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
400x
token efficiency
Raw MCPs firehose vast amounts of data into every agent call. Instead, Amdahl serves the most relevant context needed.
1.7x
more accurate
Our ML models achieve accuracy and depth that LLMs miss. No human revisions needed.
2.6x
more consistent
100% of LLM outputs cited in your customer intelligence data. No hallucinated insights or statistics.
5 mins
data freshness
5 minutes end-to-end data processing latency.
Know what wins before you go to market.
Backed by world-class investors










