Buyer-Side AI Demo Aggregator That Generates Comparable Vendor Demos for Procurement Teams
Naoma builds AI demo agents for the seller side, but mid-market procurement teams have the inverse pain: they sit through 4-8 vendor demos per evaluation, each scripted and not comparable, and produce a vendor comparison spreadsheet from memory. A buyer-side AI that generates a standardized side-by-side demo from each vendor's documentation, sandboxes, and recorded demos saves 12-20 hours per evaluation cycle.
Problem Statement
A director of IT at a 600-person manufacturer needs to pick a new endpoint protection platform. He sits through 6 vendor demos in 2 weeks. Each vendor scripts the demo to favor their wins. He compiles a spreadsheet from memory and biased notes. Two months in, he realizes vendor B can not actually do the cross-tenant rollback he thought it could. The team has to re-evaluate. Vendor A also signed a contract for unmet needs.
The Idea
A buyer-side AI demo aggregator that ingests vendor docs, demo recordings, and trial sandboxes, and produces a standardized side-by-side demo and decision matrix for procurement teams.
Why Now
Software procurement at $5K+/year now requires 4-8 vendor evaluations on average per Gartner; demo fatigue is real for IT and product evaluators; vendors increasingly publish public sandboxes (Vercel preview-style); LLMs can read vendor documentation and produce comparable feature matrices; mid-market procurement budgets are tightening, and procurement leaders are accountable for picking right; Naoma and similar sell-side launches confirm AI demo workflow is buildable.
Target User
Procurement leaders, IT directors, and operations managers at 200-2000 person companies running multi-vendor software evaluations; consulting firms running RFPs
Target Market
Procurement automation, software evaluation tooling, vendor management
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- Step-by-step validation plan
- Score rationale across 11 dimensions
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- Risks & counter-evidence
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