Technology catalogs
Pull university listings into a normalized schema with categories, development stage, focus tags, technology tags, source URLs, and availability status.
The License-Rx engine
LicenseRx: The Infrastructure of Biotechnology Licensing.
Inspired by computational life-science platforms: every asset becomes a living profile that connects biology, evidence, IP, development path, and commercial pull.
Entity intelligence
Map aliases, owners, modalities, indications, and evidence signals so the same opportunity is not scattered across disconnected names.
Partnerability logic
Rank assets by unmet need, white space, differentiation, stage quality, IP strength, feasibility, buyer fit, and near-term value inflection.
BD action pack
Turn the profile into an outreach-ready thesis: likely buyers, vendors, diligence questions, and a staged development roadmap.
See the asset behind the catalog listing.
License-Rx turns static technology descriptions into structured evidence, diligence questions, and partner-ready positioning.
Rank opportunities by probability, fit, and inflection.
Every card becomes a live investment view, not a generic summary.
Connect science to pharma appetite.
Surface the buyers, objections, experiments, and deal structures that make an asset easier to license.
AI optimized strategy
Not “is this cool science?” but “what is the fastest responsible path to a licenseable milestone?”
The platform is deliberately conservative with cash: it looks for biomarker-led experiments, option structures, outsourced execution partners, orphan wedges, and focused proof packages before recommending a heavy development path.