The verification layer between your AI and your engineers.

Calibrated human review of machine-generated outputs - 95% auto-settled, blind-audited, certified per project.

Problem
Your models produce outputs - detections, verdicts, answers - at a volume no one can review. A sample gets eyeballed, or an automated judge grades them, and nobody measures the checker itself.
Approach
A calibrated crowd, measured against your standard on hidden known-answer items. Judges are blind, votes are weighted by tracked accuracy, and effort follows difficulty.
Proof
Our first customer was our own production computer-vision pipeline: a crowd approaching 1,000 judges, roughly 95% of items settled outright. Every verdict the system settled on its own has been blind-checked, with no material errors found so far. Read the audit →
Pricing
A single blind audit from £2,000: about two weeks, no integration. Continuous monitoring from £3,000 a month. Pricing →
Who
Max Whitehead, full-stack engineer. Two years building and running a production computer-vision pipeline and the human-verification layer that keeps it honest. Contact →