The data layer is the bottleneck — and we can prove it.
Controlled tests across the same AI model, the same questions, and different data layers. The gap between noise and actionable intelligence is not the model — it is the context the model has to work with.
The same AI model, the same 10 GTM questions, two different data layers. A blind AI judge scored both outputs across five quality dimensions. Amdahl won 8 of 10 with +71% higher scores.
Read benchmarkThe same question run 5 times in a row against each data layer. Amdahl returned the same numbers, findings, and quotes every time. Standard connectors drifted on every run.
Read benchmark800K tokens of raw call transcripts compressed to 2K tokens of structured intelligence. The context engineering problem in GTM — and the infrastructure that fixes it.
Read benchmarkWhat this means for your business
For CMOs
Stop building positioning on gut feel. Amdahl gives you the exact words your buyers use before you've influenced them — so your messaging lands on arrival, not after three rounds of A/B testing.
For CROs
Win/loss patterns, hidden deal champions, and competitor signals by stage are only visible when the AI can actually read your conversations. Standard connectors can't get you there.
For GTM Tech
You've already paid for the data. Amdahl is the layer that makes it usable — without rebuilding your stack.
For AI Leaders
The model isn't the bottleneck. These benchmarks prove it. The ROI of your AI investment is determined by the quality of what the AI has to work with.
Want to see what your own data looks like through Amdahl?
Full methodology, judge rubrics, and raw outputs are available on request. Every benchmark can be run against a slice of your real data.