Start with one important evaluation problem.
Pukot helps teams turn a defined model, data or product question into structured human judgment and evaluation evidence.
Programs designed around the decision.
Preference and ranking
Compare outputs, choices or alternatives against a defined instruction and retain the reasoning where useful.
Evaluation and benchmarking
Investigate model behaviour, edge cases, rubrics and failure slices with independent judgments.
Annotation and qualitative review
Classification, review and structured qualitative data where the task and QC method matter.
Red-team judgments
Human review of defined risk, ambiguity or failure scenarios within agreed scope.
Human validation
Add a measured human layer around automated decisions or outputs where validation is useful.
Custom AI/ML data
Build a bounded data program around the model decision rather than buying generic labour capacity.
What we do not sell.
Pukot is not positioned as seats, call-centre capacity, generic staffing or the lowest-cost annotation pool. The product is a defined evidence set with task design, quality controls and relevant provenance.
Make the evidence inspectable.
Available fields depend on the project. We do not expose unnecessary contributor identities or supply-chain details.
Show us the problem.
Pilot requests are reviewed individually. This is the same controlled-access mechanism behind the old waitlist, but the starting point is now the task.