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How a small AI firm won a $1.79M Air Force STTR Phase II

A lean AI firm won a $1.79M Air Force STTR Phase II, cutting proposal time roughly 65% with GovHub.

Illustrative scenario. An anonymized, representative example grounded in public federal award data (SAM.gov / FPDS) — it shows the kind of outcome GovHub is built to enable, not a claim about a specific named company.

The challenge

STTR Phase II proposals are among the most technical and competitive in federal contracting — demanding a rigorous technical approach, a commercialization plan, a detailed work breakdown, data-rights assertions, and compliance with layered SBIR/STTR rules, DFARS clauses, and intellectual-property requirements. As a small research-focused team, the firm faced a tight timeline with little bandwidth for proposal production.

How GovHub helped

GovHub pulled historical SBIR/STTR award data and successful Phase II examples for similar AI and document-technology topics, benchmarked pricing and technical approaches, and auto-generated compliant sections — technical volume, commercialization strategy, and work breakdown — while scoring the draft in real time against STTR requirements and DFARS. Internal company data and research-partner information were integrated automatically, and the AI surfaced win themes around generative-AI innovation and DoD mission impact.

Results

The GovHub capabilities behind a win like this

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