GetFocus reads every patent in a technology area, answers your questions across all of them, and measures how fast each competing technology is improving. The improvement rate is what turns patent data into a forecast.
Built on 30 years of MIT research.
AI patent analytics for R&D means asking questions of a whole technology field in plain language, instead of reading patents one by one or writing Boolean strings.
Semantic search finds what you mean, not what you typed. AI agents scout incumbents and emerging routes alike, including the ones not yet on your radar.
Deep-dive agents turn your question into extraction prompts and run them over title, claims and full description. Every answer cites the patents behind it.
From each dataset's citation network we compute the Technology Improvement Rate (TIR). Faster improvers overtake slower ones, whatever their maturity today.
New filings enter the datasets as they publish. Rates are recomputed, standing questions re-answered, and you hear when a threshold breaks.
Patent tools fall into three jobs. Search and landscape platforms are built for IP teams; forecasting is built for the R&D decision.
Need the full market? We compared 18 tools in Patent analysis software for R&D teams.
A disruptor usually starts behind on performance and ahead on rate. Filing volume and maturity scores miss it; the rate does not. Ranking every route by TIR shows which challenger is closing the gap and roughly when it crosses over.
We have back-tested this against technology races that already played out, from digital cameras to displays and lighting. See the proof or read how the method works.
Bring us one live technology decision. We'll send back a decision-grade brief in 48 hours: the radar, the improvement rates, the triggers.
Free · 48 hours · preliminary scoping.