Customer Intelligence Context Layer
Reliable agents start with reliable context.
Amdahl is the context layer underneath your GTM agents: one structured, governed source of truth they all share. Our machine learning turns your raw, unified data into the exact context each agent needs — fresh, self-improving, sharpening with every deal instead of going stale. So the agents you’ve built hold at scale, run on their own with zero manual refresh, and act on the most accurate read of what actually moves revenue.
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token efficiency
Raw MCPs firehose vast amounts of data into every agent call. Instead, Amdahl serves the most relevant context needed.
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more accurate
LLM outputs achieve accuracy and depth that LLMs miss. No human-in-the-loop revisions needed.
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more consistent
100% of LLM outputs cited in your customer intelligence data. No hallucinated insights or statistics.
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data freshness
5 seconds end-to-end data processing latency.
The Foundation
Amdahl is the context layer every go-to-market agent operates on.
Continuously updated and pre-analyzed, so every human or agent task runs on the most accurate, relevant read of your customers.
Every go-to-market task starts from one truth: who are my buyers and what do they want?
Amdahl finds the needle in the haystack in your messy, unstructured data, so every agent works from precise, real, and nuanced insight instead of assumptions.
71% more accurate LLM outputs, 100% cited to your real data.
Amdahl leverages multiple unsupervised learning techniques to turn your raw data into structured intelligence so your agents operate on the highest-quality reasoning.
Optimized for deal velocity and revenue outcomes.
Every pattern is tied to your pipeline — the objections that lose deals, the moments that win them. So your agents act on what actually moves revenue, not noise.
The Context Layer
The customer context your agents can’t get anywhere else.
Structured Data
- Your agents are only as good as the context they can retrieve.
- Every raw source (CRM, calls, tickets, online sentiment) resolved into one clean view your agents can actually use.
- When sources disagree, Amdahl reconciles them into a single answer, so every agent works from the same truth instead of five conflicting ones.
- All semantic data is tagged using unsupervised learning, so agents pull precise and relevant context for each task.
Don’t see your workflow?
Tell us what your team needs.
We ship custom Amdahl apps for design partners in days.
Already building agents?
Keep your agent workflow.
Swap the context engine underneath.
Proof
Your agents are only as good as the data you feed them.
4 weeks → 1 day
Content production cycle at a Series C data company using Amdahl for voice-of-customer content
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Win-rate correlation when reps surface more first-call objections — from Amdahl running on its own sales data
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Churned-customer resurrection in two weeks via context-driven email campaigns
Amdahl is our most trusted strategic collaborator.
The content person needs the validation and the sources the most. Amdahl is the only tool I've used that gives that consistently.
I don't need Claude to do the ideas. Amdahl does — from our actual customer conversations.
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