{"repo":"shuxiachai/academic-commercialization-agent","free":true,"listed":false,"github":"https://github.com/shuxiachai/academic-commercialization-agent","clone":"git clone https://github.com/shuxiachai/academic-commercialization-agent.git","description":"Turn any research paper into a commercialization report — 6 AI agents, TRL/MRL scoring, patent landscape, market intelligence, verified citations. DeepSeek / OpenAI / Claude.","language":"Python","stars":475,"topics":["academic-research","ai-agent","commercialization","crewai","deepseek","gradio","llm","multi-agent","openai","patent-analysis"],"license":"MIT","category":"ai-agents","readme_excerpt":"Academic Commercialization Assessment Agent Turn any research paper or topic into a commercialization readiness report in minutes — six AI agents gather academic, patent, and market evidence, then produce a scored report with verifiable citations. English 中文 --- English A multi-agent system built on CrewAI that evaluates the commercialization readiness of academic research. Input a research direction or paper topic. Six specialized AI agents automatically gather evidence from academic literature, patent databases, and market intelligence sources, then produce a structured commercialization assessment report with verifiable citations and a quantitative scorecard. --- Try it online https://academic-commercialization-agent.up.railway.app Running on Railway — nothing to install. The gate offers two ways in: - Bring your own API keys — no access code needed. Pick your LLM provider, paste an LLM key and a search key, and the run is billed to you. The keys go only into that one run's subprocess environment: never written to disk, never merged into the server's own environment, never visible to another run happening at the same time, and gone when you close the tab. - Access code — runs on the deployment's own keys. Codes are handed out privately; without one, use the BYOK option above. A run takes roughly 3 minutes and costs a few cents of LLM plus about 9 search queries, so the deployment caps concurrency and daily runs per code. See Deploying publicly for how the two entrances wor","default_branch":null,"files":null,"tree":[],"storefront":"/r/shuxiachai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/shuxiachai/academic-commercialization-agent/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}