v3.0.0
Major
July 2, 2026VETR 3.0 — The intelligence layer: evaluation-factor drafting, an AI review team, and data-driven Pwin
Your proposals, now with an AI that knows your record
VETR 3.0 turns everything you've written into an advantage. Three new capabilities, all grounded in your own data and running entirely inside the GovCloud boundary — your CUI never leaves.
What's new
- Evaluation-Factor Drafting — VETR reads the RFP's Section M evaluation factors and drafts a response to each one that cites your own past performance and is written to score. It shows the predicted evaluator rating (FAR 15.3) and the specific gaps to close — so you see your score before the government does.
- Agentic Proposal Team — put a proposal in front of an AI review team: compliance, past-performance, win-theme, and pricing specialists each review it through their lens, then a capture lead synthesizes a verdict, a readiness score, and a prioritized action plan.
- Data-driven Win Probability — Pwin is no longer a formula. VETR trains an explainable model on your own win/loss history and shows the top factors driving each estimate (a transparent baseline runs until you've logged enough outcomes, then it learns from your results).
Under the hood
- Proposal memory — your proposals, past performance, win themes, and lessons learned are now indexed for retrieval, so the AI drafts in your own voice and evidence — never generic boilerplate.
- In-boundary by design — all inference runs on Amazon Bedrock and all embeddings on Titan, inside the FedRAMP authorization boundary. Independently verified: no proposal content ever egresses to an external AI provider.