Solutions
Built for the people who move research to market
Conservative institutional users read credibility through formality, conformance, and visible data governance — not hype. TRIUP.AI is designed for exactly that, Thai-first and bilingual.
By audience
Four roles, one expert-in-the-loop workflow
University TTOs
Triage a large invention pipeline and decide what to commercialize — fast, defensibly, with thin teams.
A directional feasibility verdict in hours, an IP landscape that shows where an invention sits, and an export-ready dossier your committee recognises. Every number is sourced; every liability-bearing claim carries a sign-off.NXPO / PMU officers
Allocate and monitor research-to-market funding across many institutions, with auditable rationale.
A consistent, banded view of market and IP for portfolio decisions, an append-only audit trail of who approved what and when, and outputs that align to program reporting — built for institutional deployment, not a single desk.Researchers
Understand the commercial and IP landscape around an invention without becoming a patent analyst.
Paste a tech description and see the extracted feature tree, the closest prior art (with real patent numbers), and where the white space is — a calm starting map, explicitly directional, that hands cleanly to a TTO.IP Attorneys (reviewers)
Review AI-drafted FTO and valuation work without rubber-stamping or dismissing it.
A separate, risk-prioritised review queue (low AI-confidence raises priority), one-click verification to the primary source, a cognitive-forcing gate on the FTO conclusion, and four-eyes enforced server-side — the approver is always a different, named human.Find the fit for your team
Tell us your pipeline and review process — we'll show how the modules and the four-eyes path map to it.