Inside a Multi-Agent AI Built for Research Commercialization @ai-science
Inside a Multi-Agent AI Built for Research Commercialization  @ai-science
Uploaded January 2026 | Updated September 2026, 2 weeks ago
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In this video, the presenter introduces an AI-powered research-to-market platform designed to solve one of innovation’s biggest bottlenecks: turning academic research into commercial products. While millions of research papers are published every year, fewer than 1% ever make it to market, largely because evaluating commercial viability is slow, expensive, and manual.

This platform automates the end-to-end evaluation process, reducing assessment time from 35–75 hours down to just 2 hours and cutting costs by over 99%. Using multiple specialized AI agents, it analyzes research papers across technical feasibility, market potential, competitive landscape, and IP risk. The system generates structured technical reports and a Commercial Viability Score (CVS) to help founders, investors, and innovation teams focus on the most promising opportunities.

By bridging the gap between academic research and real-world applications, this solution unlocks billions in untapped innovation and accelerates the path from discovery to impact.


Connect with the builder: linkedin.com/in/geeta-desaraju
Check out the app: r2m.infyra.ai

Join our Slack channel: aisc-to.slack.com

#AIStartups #ResearchCommercialization #DeepTech #Innovation #AIAgents #VentureCapital #AcademicResearch #TechTransfer #ExplainableAI #MarketAnalysis #AIinBusiness #StartupTools
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Inside a Multi-Agent AI Built for Research Commercialization

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