LLM fine-tuning & RLHF
Structured human feedback for instruction tuning, preference ranking and safety alignment. Native speakers catch intent and nuance that automated checks miss.
- Preference ranking
- Demonstrations
- Refusal boundaries
The work / 01
The human layer
your model needs.
Four connected capabilities, one operating standard. We adapt the workflow to your schema, guidelines and acceptance criteria.
From raw input to model-ready output01 / 04 capabilities
What we do
Choose the data work.
We build the system.
Start with a focused pilot in one area, then add volume or adjacent modalities without resetting quality.
Computer vision annotation
Precise visual labels for autonomous systems, robotics and industrial inspection, with clear rules for ambiguous frames.
- Bounding boxes
- Polygons
- Segmentation
Audio & speech data
Timestamp-accurate datasets for ASR and voice AI. Reviewers resolve difficult passages and speaker changes consistently.
- Transcription
- Diarization
- Event labels
Model evaluation
Human evaluation programmes that reveal where a model stands before it reaches users, using rubrics aligned to your goals.
- Rubric design
- Side-by-side review
- Multilingual
Behind every capability
Each service runs through the same pilot, review and audit discipline. See how that standard works before you scope a project.
See an illustrative delivery ↗Have a dataset in mind?