Operational proof
Calibration, rubric checks, secondary QA, and failure taxonomy give clients evidence they can inspect.
Quality & Governance8-Stage OS
A reviewer workflow built for consistency, not just throughput.
Quality is controlled through task design, rubrics, reviewer calibration, secondary QA, disagreement handling, and delivery records that make model feedback usable.
Quality Dimensions
Correctness
Code quality
Reasoning depth
Hallucination risk
Safety alignment
Rubric adherence
Fast pilot path
Send a model task, benchmark goal, or dataset need and we can scope a small pilot first.
End-to-End Workflow
01
Scope & Objective Mapping
Align with client engineering teams on target capabilities, acceptable error thresholds, and custom failure taxonomies.
02
Rubric Formalization
Construct multi-dimensional scoring guidelines with concrete edge-case boundary examples and penalty weights.
03
Blinded Golden Calibration
Reviewers must complete blinded golden tasks before live queue access. Calibrated to maintain high Cohen's Kappa.
04
Blinded Primary Evaluation
Senior SWEs and domain specialists independently review model completions, logging line-by-line reasoning traces.
05
Secondary QA Audit
Senior QA Leads inspect 20% to 100% of all completed tasks to guarantee consistency and adherence to rubric standards.
06
Disagreement Adjudication
Formal escalation path to PhD logicians and Principal SWEs to arbitrate subjective splits and technical edge cases.
07
Failure Taxonomy Classification
Tag all defects with actionable root causes (e.g. Context Degradation, Type Inversion, Premise Drift, Hallucinated Import).
08
Packaging & Delivery
Deliver validated JSONL/Parquet packages with complete audit trails, executive dashboards, and model release recommendations.