Service
Annotation & Gen AI Services
We enhance raw data for model training with human-led labeling, alignment workflows, prompt design, and supervised fine-tuning support across modern AI programs.
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Labeling | RLHF | Prompts | SFT
Focus
Enhancing raw data for model training.
Core Areas
LabelingRLHFPromptsSFTAlignment
What It Includes
- Multi-Modal Labeling: Semantic segmentation, bounding boxes, and text tagging
- RLHF Services: Reinforcement Learning from Human Feedback for LLM alignment
- Prompt Engineering & Eval: Creating and testing high-quality prompts for generative models
- Supervised Fine-Tuning (SFT): High-quality human-annotated data for model refinement
- Reviewer oversight and rework loops for consistency
- Structured outputs designed for downstream training pipelines
Contact
Tell us what you need to build next.
If you are planning a data collection, annotation, or evaluation program, send a short brief and we can discuss the next steps.
Typical projects
Collection, annotation, evaluation, and workflow tooling
Working style
Structured delivery, managed communication, and practical reporting