Solutions
Synthium Evaluate
Evaluating difficult model outputs — open-ended answers, reasoning, safety and instruction-following — demands expert human judgment. Generic annotators can tell you what's fluent; they can't reliably tell you what's correct, sound or safe. That gap is what we close.
- Model
- Tasks
- Expert Review
- Scoring
- Insights
What we evaluate
The outputs where judgment matters
When correctness, reasoning or safety is on the line, the evaluator needs to be as capable as the task.
- Open-ended answers and explanations
- Reasoning traces and step-by-step logic
- Safety boundaries and refusals
- Tool use and function-calling behavior
- Instruction-following and constraint adherence
How experts are calibrated
Aligned before they touch production
Contributors are assessed against project-specific rubrics and gold standards, then continuously scored. The quality bar is fixed before a single label ships.
Output formats
Delivered the way your pipeline consumes it
Who it's for
AI labs and frontier model companies who need defensible, high-signal human evaluation of model behavior — not a volume play, but a judgment play. If the question is “is this output actually good?”, that's the problem we solve.
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