Hi PH! 👋 I'm Raymond, CEO of AKA AI. We built EOS because we kept seeing the same failure mode in sales training: confidence without correctness. An AI roleplay dashboard that looks perfect — empathy scores up, completion rates at 94%. Yet lost deals keep happening. The root cause? Reps confidently stating wrong product information. The training tool was grading how they sounded. Nobody was checking what they said. That's the gap EOS closes. Instead of grading style, we built a Sales Knowledge Engine that: - Extracts every factual claim from a practice call - Verifies it against your own product documentation - Returns a clear verdict: Supported ✅ / Contradicted ❌ / Insufficient ⚠️ Auto-generates personalized quizzes for every miss — with citations The output isn't a vanity score. It's a defensible sentence: "Every rep on this product line has been verified against the current catalog, and here's the audit trail." We've validated this approach with enterprise customers and early adopters — and now we're opening EOS to everyone. I'd love your feedback on: - The claim extraction approach — does this resonate with your sales enablement challenges? - The verdict system — would "Supported / Contradicted / Insufficient" be useful in your workflow? Try it free with 5 seats at akaeos.com. Happy to answer any questions — I'll be in the comments all day!

EOS

Build a sales team that sells — with AI.

Build a sales team that sells — with AI.