Specify the need
Define task, population, languages, domains, exclusions, quality, rights, and acceptable collection methods.
Dataset curation & management
Data sourcing & governance
Language-data specifications, acquisition strategies, rights, provenance, documentation, and stewardship controls.
The challenge
Data can be technically accessible but unsuitable, unrepresentative, poorly licensed, or impossible to explain once it enters a training pipeline.
We define what the dataset must represent before choosing how to source it. Acquisition options are evaluated against language coverage, task fitness, legal basis, consent, risk, and maintainability.
Governance is designed for the working pipeline: clear enough for teams to make decisions and specific enough for audit.
How we work
Evidence first. Decisions visible. Knowledge transferred.
We adapt the depth and sequence to your product stage, language scope, and internal team.
Evaluate sources
Assess licensed, commissioned, public, partner, and synthetic options for coverage, bias, provenance, and risk.
Operationalize stewardship
Establish documentation, approval, access, versioning, retention, deletion, and change controls.
Typical outputs
What your team can use.
- Dataset requirements and coverage model
- Source assessment and acquisition plan
- Provenance and rights documentation
- Governance, access, and lifecycle controls
Keep exploring
Related dataset curation & management services.
Bring us the brief
Make data sourcing & governance move.
Tell us what you are building, which languages matter, and where progress is blocked.
Start the conversation