Quality assurance

Quality assurance for AI and Human agents

Quality is a first-class goal. Sample, grade and provide feedback for both human and agentic decisions.

Overview

Feedback is a gift. It should be continuous and actionable.

Trust operations move fast, and quality can't lag behind. QA is built into Cinder's core platform. Continuously measure human reviewers and AI agents - and improve in real time.

Built for how teams actually operate: multiple levels of review, configurable sampling, and calibration loops that close in hours, not quarters.

Capabilities

QA at every layer.

Intelligent Sampling

Slice QA queues by content type, reviewer team, automated workflow, or policy. Evaluate model efficacy to build confidence in automation, and grade moderator and annotator accuracy to inform training and resource allocation. Benchmark performance to track trends.

Grade-the-grader

Multi-layered QA so your BPO, in-house experts, and sources of truth can all engage at the right level at the right moment. Layer reviews and reconcile disagreement so quality is always measured against the most authoritative source.

Actionable dashboards

Actionable intelligence to improve operations. Harness platform metrics tailored to your team's needs to inform training, identify policy gaps and adjust actioning thresholds. Grade by moderator, team, or policy to understand where performance is strong and where it needs attention.

Evaluate AI performance

Continuously assess and benchmark your AI agents. Track accuracy, optimize thresholds, and pinpoint where models are falling short. QA feedback feeds directly into your retraining pipeline - turning every expert human decision into a compounding investment in model performance.

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