Customer Intelligence Context Layer
Reliable agents startwith 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.
0.0x
more consistent
Five identical runs, same Claude Opus, same question — standard connectors land at 28%.
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higher quality
Same Claude Opus, same 10 GTM questions — raw connectors vs. Amdahl’s context engine.
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cited
Every answer traces back to a specific call, CRM record, or doc — no fabricated statistics.
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Data Freshness SLO
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 Platform
For the GTM Engineer building agentic go-to-market.
Context Layer
- MCP or a REST API to connect to any agent or LLM application (Claude, ChatGPT, Gemini, etc.). Our context layer headlessly drops into the stack you've already built.
- Every GTM source connected into one view, so agents aren't pulling a different answer from each tool.
- Automatically refreshes as new data lands and learns what's working, so agents never run on stale context.
- See where every value came from, catch bad data, and control what each agent can access.
AI Transformation Diagnostic
- Every finding tied to your true market motion, not generic best-practices.
- Shows where your motion underperforms — analyzes data patterns and highlights gaps in your current strategy, ICP, positioning, and deals.
- Identifies specific agents to build and process changes to make.
- Get your first read in 1 hour, and easily re-run as your motion changes.
Agent Console
- Build custom agents that all run on the same Context Layer.
- Use-case coverage includes outbound, pre- and post-sales actions, content, positioning, and research.
- Recurring agents that take action autonomously, or on a triggered basis.
- Shareable agentic software across the team with granular role-based controls.
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.
Your agents are only as good as the data you feed them.
Proof
What teams ship with Amdahl.
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
0%
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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