Model evaluations
Assess visual answers and predictions against task-specific criteria and supporting evidence.
Know what your model misses.
Human judgments, grounded evidence, and failure analysis for training and evaluation.
Outputs + rubric
Built around your task.
Project engagementsPreferences & rewards
Human preferences, success judgments, and progress labels for post-training and reinforcement learning.
Failure analysis
Categorize difficult cases and build a separate evaluation set for the next iteration.
A clear brief.
An inspectable delivery.
Agree on the specification, review a sample, and define acceptance before the full engagement begins.
What you receive
- An agreed rubric and calibration sample
- Structured judgments and supporting evidence
- Disagreements and failure categories
- Separate training and evaluation exports, where scoped
Engagement scope
This offering supplies data and human evaluation for your training workflow. Model training and measured performance gains require a separate scope.
Bring us the brief.
Model outputs or recorded episodes, the behavior you want to assess, and any existing evaluation criteria.