Syntropy Cognitive

We find the moment a run was lost, then ask the people who would have seen it coming.

34:12 · 71% → 40% 0:00 42:00 50 34:12 · 71% → 40% 0:00 42:00 50
Fig. 1 · Likelihood of the outcome across one run. The red point is where it broke. Illustrative data.
What this is

Syntropy Cognitive builds decision data for agents that play games and run in simulations. A model reads a recorded run and marks the stretch where the outcome turned. A reviewer who knows that environment confirms the call, corrects it, or rejects it.

Annotation services handle text, code and images well. Judging a decision inside a complex game is harder, because it takes thousands of hours in the same environment. That judgement is what we collect.

We are in stealth and work from public data. The method is described in outline. If you build agents or games and need this kind of judgement, request a demo.

From the notes

All notes and logs
  1. TXT 01 Where a run is decided The final score records who won. It rarely records the decision that made it so.
  2. LOG L1 T+34:12 Likelihood of the outcome 0.71, then 0.40 inside seventy seconds. Share of the drop 0.62, one role. Queued for review.
  3. TXT 04 The scarce part Annotation at scale exists for text, code and images. Judgement about a decision inside a complex game does not.