Service
AI Data Services
High-quality, domain-specific and multilingual data for training, fine-tuning and evaluation — collected, validated and curated by people who understand the task.
Problems we solve
When teams bring us in
- Training or evaluation data does not reflect real users, languages or edge cases.
- Labels are inconsistent, and nobody can say how accurate they are.
- There is no trusted golden set to measure model changes against.
What you receive
Deliverables
- Curated dataset delivered in your agreed schema and format
- Annotation guidelines and labeling taxonomy
- Quality report with review sampling and agreement results
- Golden / reference set for ongoing evaluation
What we do
Capabilities
- Data Collection
- Data Sourcing
- Data Validation
- Data Cleaning
- Data Curation
- Data Augmentation
- Data Annotation
- Data Labeling
- Dataset Creation
- Golden Dataset Creation
- Synthetic Data Support
- Human-in-the-loop Data Operations
- Multilingual Data Collection
- Domain-Specific Data Collection
Quality
How we keep results reliable
- Pilot batch before scale-up
- Reviewer calibration against guidelines
- Sampled second-pass review
- Documented acceptance criteria
Related programs
Fixed-scope ways to start
- AI Data Accelerator
Rapid collection, annotation, validation and dataset creation.
- LLM Benchmark Program
Custom benchmark creation + human evaluation + comparative model testing.
Scope your ai data services project
Send us what you are building. We will scope the data, evaluation, benchmarking or testing program and come back with a proposal.