A vetted network of 11,000+ domain experts who label, grade, and adjudicate the cases automation can't yet handle alone.
Frontier models still need expert judgment on the hard edges. Our network spans clinicians, analysts, engineers, and adjusters — matched to your domain, bound by your policies, and integrated into your review flows with consensus and adjudication built in.
Expert Network runs inside your governed environment as a discrete stage of the training loop, with APIs and exports that match your existing pipeline. Adopt it on its own or compose it with the other AI training capabilities.
The building blocks that make Expert Network dependable in production.
Right experts for your tasks.
Multiple reviews, adjudicated.
Reviewers follow your rules.
Continuous reviewer calibration.
By the numbers
Book a working session and we'll scope how this fits your model development and governance.