Synthium Train
Expert post-training data
SFT, preference and reasoning data written and verified by domain experts — built to your specs, held to your quality bar.
- Prompt
- Expert
- Response
- Critique
- Preference
- Training Data
Solutions
The expert human layer behind frontier AI.
Synthium Labs provides the expert human layer through four products. Each one is a workforce, a workflow and a quality system — expertise is the product, not the headcount. Quality arbitrage, not labour arbitrage.
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Synthium Evaluate
Expert model evaluation
Hard model outputs judged by experts with calibrated rubrics — preference, critique and severity-rated scores your pipeline can trust.
- Model
- Tasks
- Expert Review
- Scoring
- Insights
Synthium Agents
Expert agent evaluation
Coding and reasoning agents assessed by engineers across correctness, architecture, security and failure modes — the signals that predict production trust.
- Agent
- Task
- Execution
- Expert Eval
- Score
- Failure Analysis
Red Teaming
Safety & adversarial testing
Domain experts probe safety boundaries, attempt jailbreaks and surface policy violations — calibrated signal, not crowd noise.
- Threat Model
- Adversarial Tasks
- Expert Red Team
- Severity
- Report
How we scope a solution
From problem to production, deliberately
Every engagement follows the same disciplined path: define the bar, calibrate the people, produce with QA, then scale without drift.
Define
We scope the task, the expertise required, and the exact quality bar your deliverable must hit.
Calibrate
Contributors are assessed and aligned to your rubric against gold standards before production.
Produce & QA
Work is produced, then passes through multi-stage review against the agreed quality gates.
Scale
Throughput expands as your pipeline needs it, without the quality bar moving.
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