CAPABILITIES
Human judgment. Engineered into your workflow.
From the first label to the final evaluation, qualified people bring precision, language and context to your AI data.
Speech & Audio Data
Language as it is actually spoken.
- Transcription and machine-assisted transcription review
- Speaker diarization and precise timestamps
- Noise and event labels, accent and locale validation
- ASR and voice-agent evaluation
Language Data
Context that survives the label.
- Text annotation and semantic labeling
- Intent classification and entity recognition
- Localization and native-language validation
Model Evaluation
A grounded view of model performance.
- Response ranking and factuality assessment
- Benchmark creation and failure analysis
- Independent evaluation against trusted human output
Human Feedback
Human judgment that informs model development.
- Preference comparisons and response evaluation
- Supervised examples and structured feedback
- Project-specific safety and red-team programs, scoped with your team
Quality Operations
Consistency built into the workflow.
- Contributor qualification and project calibration
- Automated validation, human review and adjudication
- Guidelines, escalation paths and continuous measurement
Custom Workforce Programs
A qualified pool around your requirements.
- Language, locale and domain-specific recruitment
- Availability-based project matching
- Contributor, reviewer and language-lead roles
Human from scratch, or a machine-generated first pass followed by human verification. The appropriate workflow depends on whether the project is training, correction, or independent evaluation. Independent evaluation must avoid anchoring reviewers to the model being measured.
Multimodal data is an expanding capability. Discuss scope and readiness with us before planning a project.
BUILD ON HUMAN INTELLIGENCE