Build better AI with better data.
Human-generated and expert-verified data, produced by people who know the language and the context it comes from.
Most training data is collected where collection is easy. The result is systems that perform well in well-represented languages and quietly degrade everywhere else. We collect and structure the data that does not already exist in usable form.
What we collect and structure.
Speech
Collection, transcription, translation and diarisation, including accented speech and code-switching.
Language
Text collection, translation, annotation, classification and metadata for language systems.
Documents
Structured datasets from local document formats, identity records, contracts and filings.
Computer vision
Image and video annotation for local objects, environments and conditions.
Multimodal
Paired data across text, audio and image for systems that reason across modes.
Preference data
Pairwise comparisons, rankings and critiques from reviewers who understand the context.
Turn local reality into reliable AI data.
An interactive view of the work behind data that models can learn from and teams can trust.
Request a data project →Throughput
live pipelineItems enter as raw intake — soft dots, no structure, no metadata.
Data with a job to do.
We build datasets against a defined purpose, so what you receive maps to the model behaviour you are trying to change.
Training
Corpora built for coverage rather than convenience.
Fine-tuning
Instruction and domain data shaped to your task and tone.
Alignment
Human preference and critique data for reward modelling.
Domain-specific
Clinical, legal, financial and agricultural data reviewed by practitioners.
Data built for your jurisdiction.
From collection to delivery, we structure data programs around your requirements for geography, language, expertise, provenance, governance and permitted use.
Local collection
Gathered in the markets and languages you need, by people who live there.
Verified contributors
Identity, language and professional background confirmed before eligibility.
Expert validation
Reviewed by practitioners in the relevant domain, not generalists.
Controlled workflows
Access, environment and processing location specified in the engagement.
Documented provenance
Where every item came from, under what consent, recorded and auditable.
Defined data rights
Ownership, licensing, retention and permitted downstream use agreed up front.
Residency, governance and ownership are defined per engagement rather than assumed.
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