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Kapnetix PostClean motion-capture takes, fast.

The AI front end for motion-capture post-production. Confidence measures how cleanly we can fix a take — not how broken it is.

Kapnetix

What Kapnetix Post is ​

Kapnetix Post cleans motion-capture takes. You upload raw capture, Post diagnoses it, shows you the plan it intends to follow, repairs the recording — filling gaps, re-solving merged markers, relabelling swapped markers, cutting impulsive jitter — and then shows you what it measured. Your raw data is never touched.

The product hangs on one idea: confidence is a measure of fixability, not of error. A confidence score predicts how cleanly Post can repair a take or a region. You see the same map twice — Before (predicted, so you can plan your review) and After (measured, so you can verify the result).

Three more principles hold everywhere:

  • Raw capture is immutable. Every cleanup lands as a new named version — Clean v1, Clean v2, and so on.
  • The AI is transparent and overridable. Every change is surfaced with what changed and a confidence figure, and any region can be reverted.
  • Nothing is claimed that was not measured. A result that could not be measured says so rather than carrying a score that looks like one.

What Kapnetix Post does not do ​

  • It does not solve skeletons. Corrections reach a rig when you re-solve in your own tool.
  • It does not invent capture that was never recorded — a performer out of volume stays a hole.
  • It does not convert formats on export yet.
  • It does not overwrite your raw file.

What to do next ​

New here? Start with the quick start, then read how Post cleans a take.

Ask us ​

Something looks wrong on a take? Write to support@kapnetix.ai and send the take id, or the take's name and the project it sits in.