Founder
A
Amdahl
amdahl.co
Website unreachable since Oct 28, 2026
Amdahl provides a unified data platform that aggregates structured CRM and analytics data with unstructured conversational data such as call recordings and support logs, then applies machine‑learning classifiers, clustering, and pattern mining to generate real‑time, cited battle cards, positioning briefs, and loss playbooks. The service delivers these evidence‑based artifacts via a web console or API, integrates with any LLM through its MCP REST API, and offers custom apps for tailored sales workflows.
- Artificial Intelligence
- Data & Analytics
- Developer Tools
- Enterprise Software
Updated yesterday
Funding
Funding not disclosed
Funding rounds are not available yet.
Founders
Product
Problem
Sales teams often rely on outdated battle cards and spend significant time preparing for calls, while valuable insights hidden in call recordings, CRM data, and support documents remain unstructured and inaccessible. This leads to missed opportunities, inconsistent messaging, and inefficient use of sales resources.
Solution
Amdahl aggregates a company’s structured data (CRM, analytics) and unstructured conversational data (call recordings, support logs, documents) into a unified, queryable context layer. Using machine‑learning classifiers, clustering, and pattern mining, the platform generates real‑time, cited battle cards, positioning briefs, and loss playbooks that reference the exact source of each insight. Sales reps receive these artifacts before each call via a web console or integrated tools, ensuring up‑to‑date, evidence‑based messaging. The solution works with any LLM (Claude, ChatGPT, etc.) through a REST API, allowing teams to swap underlying models without changing workflows. Amdahl also offers custom apps built for specific sales processes, delivered in days for design partners.
Target Audience
Primary customers are B2B sales and revenue operations teams that need up‑to‑date battle cards, objection handling, and content generation from their own conversation data, as well as GTM leaders seeking to automate knowledge extraction at scale.
Features
- Unified data pipeline that extracts, enriches, and surfaces information from CRM, call transcripts, and documentation
- ML‑driven clustering and pattern mining to surface objections, win‑loss signals, and buyer intent
- Real‑time battle cards and GTM artifacts with citations linking each claim to the original call or record
- MCP REST API for seamless integration with existing agents and the ability to replace the context engine under any LLM
- Custom app development platform that delivers tailored sales workflows in days
- Enterprise‑grade security: SOC 2 Type 2, TLS 1.2, AES‑256 encryption, role‑based access, data isolation, and zero‑retention AI processing
- Flexible pricing tiers (free, pay‑as‑you‑go, flat‑rate growth, and enterprise) that scale with the number of recorded reps and agent seats