Build better inputs for better models.
A practical data partner for teams that need carefully designed examples, expert review and evaluation signals they can trust.
Our data programs at a glance
6
Data formats supported across delivery workflows
50+
Language and dialect combinations
24/7
Quality operations built for distributed teams
4
Review gates before production handoff
Why teams work with us
The right evidence changes the model.
We connect data strategy, human judgement and measurable review so each example has a job to do—and each delivery gets easier to improve.
Built for real teams
Bring us a focused pilot, a growing backlog or a recurring evaluation cycle—we shape the operating model around your release cadence.
Quality you can explain
Every program is grounded in explicit criteria, review evidence and feedback that can be carried into the next version.
Where we add signal
Coverage shaped around the decisions your model must make.
Start with a defined use case, then expand the program as new languages, edge cases and evaluation needs appear.
Language intelligence
Curated text collections for search, assistants, classification and domain-specific reasoning.
Code and workflows
Structured examples that teach models how software is written, tested, documented and maintained.
Speech and dialogue
Conversation data prepared for voice interfaces, transcription, translation and natural turn-taking.
Visual understanding
Image and video annotation for detection, segmentation, captioning and multimodal assistants.
Specialist domains
Expert-reviewed material for regulated and technical use cases where context matters as much as scale.
Safety and evaluation
Purpose-built test sets that reveal failure modes, edge cases and unwanted model behaviour.
How we help
Turn a model question into a working data loop.
Whether you are starting from raw material or an existing benchmark, we help your team move from uncertainty to a repeatable program.
Dataset design
Turn a model objective into a clear sampling plan, schema, rubric and delivery specification.
Expert annotation
Coordinate trained contributors, domain reviewers and adjudicators around one dependable standard.
Language operations
Transcription, localization and linguistic review for products that need to work across markets.
Evaluation programs
Build repeatable benchmark sets that make quality, safety and model progress visible.
Our working method
A clear path from brief to benchmark.
Frame
Define the task, audience, edge cases and evidence needed for a useful dataset.
Build
Collect, label and review examples with clear instructions and measurable agreement.
Challenge
Stress-test the set for ambiguity, bias, leakage, duplication and coverage gaps.
Handoff
Hand over versioned files, documentation and feedback loops ready for the next iteration.
Start with one use case