Our services
AI workflows need different forms of human judgment. We help AI teams organise and manage the work needed to produce consistent, reviewable outputs.
Each engagement is defined by the task, required output and quality standards.
01 / Prepare and validate
Human-led data preparation and validation for AI systems.
Typical deliverable: A labelled, reviewed or validated dataset that meets agreed specifications.
02 / Evaluate outputs
Human evaluation of AI-generated outputs against defined criteria.
Typical deliverable: Evaluated outputs with scores, labels or reason codes based on the agreed rubric.
03 / Check visual assets
Review of visual assets against references and customer requirements.
Typical deliverable: Reviewed assets with pass/fail decisions and documented defects.
04 / Review and resolve
Independent review of outputs that fail checks, contain conflicting labels or require a second judgment.
Typical deliverable: Reviewed outputs with documented decisions based on agreed rules.
Exploratory capability
Physical AI may require human demonstrations, video capture, task annotation, sensor-data review and robot performance evaluation.
We are exploring these workflows. Skills, equipment, capacity and commercial terms must be established for each use case before an engagement begins.
Agree on task and output, inputs, quality standards, schedule, review and rework, and commercial terms.