GoldSet Benchmarks
If you can't measure it, you can't ship it
Build repeatable, measurable evaluation infrastructure with domain-specific benchmarks, calibrated rubrics, and automated regression testing that gives you confidence in every release.
Golden datasets + grading rubrics + continuous regression to track quality over time.
Methodology: Our Benchmark Methodology
We build evaluation infrastructure that gives you confidence in every release. Our golden datasets and calibrated rubrics ensure consistent, repeatable measurement of AI quality over time.
- Domain-specific test sets
- Calibrated grading rubrics
- Automated regression testing
- Executive-level scorecards
Modules & Capabilities
GoldSet Creation
Domain-specific gold examples and tricky edge cases curated by SMEs
Rubric Design
Binary and graded rubrics with calibration sets for consistent evaluation
Human + Automated Grading
Hybrid pipelines with adjudication for disagreements
Release Regression Suite
Run before every model, prompt, or tool update
Executive Scorecards
Trend lines, risk KPIs, and quality gates for leadership
Results: Measurable Quality Gates
Teams with our benchmark infrastructure can quantify quality, detect regressions early, and make data-driven decisions about what to ship.
- Release confidence scores
- Automated quality gates
- Trend analysis dashboards
- Stakeholder transparency
Deliverables
- GoldSet dataset (JSONL/CSV, versioned)
- Rubric docs + evaluator guidelines
- Calibration report (agreement rates, variance)
- Benchmark report with top failures
- Repeatable runbook for future evaluations
Get started with GoldSet Benchmarks - contact our team for a scoping call.