Edison
Capture R&D effort as it happens — not from memory at year-end.
The problem
Tracking R&D effort has always leaned on timesheets — manual, retrospective, and rough at best. Now that engineers work alongside AI coding tools, even those imperfect records miss most of what actually happened. By the time you need real evidence of the work, the trail's cold and what's left is reconstructed memory.
What we built
Edison captures R&D effort continuously, as it happens. It analyses coding commits and pull requests, tracks AI coding sessions, and pulls it all into a structured record of where the effort went, what was uncertain, and what was abandoned. Teams stop reconstructing the work after the fact — the evidence builds itself, alongside the engineering.
The outcome
R&D effort that used to be pieced together from memory and rough timesheets is now captured continuously through the year. Teams spend minutes — not days — on evidence preparation, and the people doing the work and the advisors defending it finally look at the same record.
Talk to us about Edison
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