Describe an invention. Get global licensing candidates, deal rationale, and outreach drafts in under 90 seconds.
TTOs · Corporate IP teams · Research institutions · IP licensing firms
Your recommendations are computed from real-world evidence using quantitative methods, and LLMs never decide what you'll see. That is what maximises consistency.
Tech Fit, Deal Readiness and the composite score are calculated from measurable evidence. No language model decides which partners are recommended to you.
LLMs are used sparingly, and only for the things they're good at, such as reading your description, reconciling the many ways organisations write their names, and drafting outreach messages you will edit before sending.
Each recommendation arrives with the record behind it, so you can check the reasoning rather than take it on trust.
What you submit is used to produce your recommendations, and nothing more. Your invention descriptions are never used to train LLMs.
This is a saved example run from the live platform, using a real semiconductor-packaging invention analysed across the global technology landscape. Press Run analysis to watch MEG recommend licensing partners, surface academic collaborators, and build the deal intelligence.
A representative example analysis, shown to illustrate MEG's output. Companies, institutions, and market signals are real entities and events in this technology space; the live platform returns the full ranked set with outreach drafts and exportable reports.
PhD in innovation analytics with ten years in patent analytics, including three at the World Intellectual Property Organization. He understands the innovation-to-market gap natively and leads MEG's product build.
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