Model evaluation
Turn model outputs into clear decisions.
Benchmark speech and language systems against human-verified reference data, with scoring, review and traceable adjudication in one workflow.
Live workflowProject command center
Model evaluationWorkspace project · accountable deliveryIn progress
Workflow AI processing Complete Human review 84% Final QA Pending
Project signalsLanguage English (US)Data use Service onlyOutput JSON + DOCX
Language opsLocale-aware workflow
Provenance trackedConsent · intended use
Designed forProduct teamsResearch teamsAI platform teamsLanguage operations
How it works
Clarity from brief to delivery.
The system is designed around the decisions that make AI data useful: what is being processed, who reviews it, what quality means and where it goes next.
01 / 03
Purpose-built rubrics
Define what good means for fluency, accuracy, safety, relevance and task-specific quality.
Representative product direction · production data and integrations connect here.
Ready when the brief is clear
Make the next data decision easier.
Share the use case, modality and quality bar. We’ll shape the workflow around the work.