Independent eval
you can ship behind.
Multi-rubric human + automated evaluation across MT-Bench, MMLU, HELM and your task-specific suites. Head-to-head, blind, with per-rubric calibration.
Built for production, not just demos.
- Per-rubric human scoring (helpful, accurate, safe, concise, style)
- Side-by-side and N-way blind comparisons
- Automated harness integration (HELM, MMLU, MT-Bench, ARC, BBH)
- Custom task suites tailored to your domain
- Slice analysis by topic, demographic, intent and difficulty
- Reviewer calibration via gold tasks per rubric
- Statistical significance + confidence intervals
- Release-gate certification reports signed by review lead
How a typical engagement runs.
Rubric Design
Define rubrics, anchors, scales. We co-design with your team.
Sample
Curate prompts: real traffic + adversarial + long-tail + targeted slices.
Calibrate
Reviewer pool runs 50 gold tasks per rubric; we tune anchors.
Run
Blind A/B/N evaluations with per-rubric scoring + free-form rationale.
Report
Signed release-gate report + dashboards + failure-mode taxonomy.
What you get in your bucket.
Questions, answered.
How does this compare to MMLU / MT-Bench?
Those are inputs. We layer expert human scoring on top, weight rubrics for your use case, and certify the result.
Can you keep evals blind?
Yes — model names are stripped and randomised in the UI. Reviewers don't see vendor branding or training-time hints.
Time to turn around a release gate?
1k-prompt × 4-rubric gate runs in 2-3 business days end-to-end, including QA and report generation.
Do you support reasoning + tool-use evals?
Yes — step-level scoring for chain-of-thought, plus tool-call schema + outcome scoring for agentic tasks.
Ready to build
AI you can trust?
Talk to a solutions architect — get a pilot scoped in 48 hours.