The Evaluation Operating System8-Stage Engineered Pipeline

Human evaluation engineered for consistency, speed, and auditability.

Quality in human evaluation is not an accident—it is a repeatable operating system. From blind double-evaluations to golden-task calibration and senior adjudication, explore the 8-stage pipeline behind our specialist reviewer network.

99.4%
Inter-Annotator Agreement
4.2%
Disagreement Escalation Rate
< 24h
Median Pilot Calibration SLA
< 0.08%
Deliverable Defect Rate
Process Architecture

The 8-Stage Evaluation OS

Click any stage in the pipeline below to inspect operational controls, reviewer gating thresholds, and deliverable artifacts.

PHASE 03 OF 08Inter-annotator agreement > 95%

Blinded Golden Calibration

Reviewers must complete blinded golden tasks before live queue access. Calibrated to maintain high Cohen's Kappa.

Quality Gate ThresholdCohen's Kappa > 0.95 on Blinded Golden Sets
Deliverable ArtifactCalibration Scorecard & Benchmark Baseline
Reviewer Protocol Standards
Double-blind review queues: Reviewers never see target model brand.
5-point granular rubrics with explicit failure boundary criteria.
Automated golden task injection at randomized intervals.
Cryptographic log hashes accompanying every delivered Parquet/JSONL.
Expertise & Credentials

Curated Elite Evaluator Network

Unlike generic crowd-annotation farms, our team consists of vetted engineers and domain academics with proven experience evaluating frontier AI systems.

45%

Senior Software Engineers

Specialists in C++, Rust, Python, TypeScript, Distributed Systems, and Concurrency.

Vetting: Top 2.4% acceptance rate
30%

PhD & STEM Logicians

Specialists in Formal Proofs, Higher Mathematics, Symbolic Logic, and Statistical Inference.

Vetting: Top 2.4% acceptance rate
25%

AI Policy & Domain Specialists

Specialists in Bio-Med, Financial Regulations, Legal Directives, and AI Safety alignment.

Vetting: Top 2.4% acceptance rate

Ready to audit your model's release readiness?

Book a 24-hour evaluation pilot with calibrated rubrics and ground-truth validation.