Put the right people behind your AI.
A verified network of local contributors and subject-matter experts, matched to the work by language, professional background and demonstrated performance.
The judgement that makes data and evaluation trustworthy is human, and it is specific. A clinician should review clinical output. Someone who speaks the dialect should judge the dialect. That matching is the product.
Expertise, not headcount.
We describe the network by what it can do rather than by a contributor count. The number matters far less than whether the right person can be matched to your specific work.
How people reach your work.
Contributors are matched on four axes. The thresholds and scoring behind them stay internal; what matters to you is that the match is deliberate rather than whoever was available.
Language
Native and near-native fluency, with dialect and register recorded.
Professional background
Verified experience in the domain the work belongs to.
Demonstrated skill
Qualification tasks before eligibility, not self-reported ability.
Performance over time
Track record on comparable work informs future matching.
Local intelligence is part of AI sovereignty.
Sovereign AI requires more than local servers. It requires local knowledge.
A country can hold its data inside its own borders and still depend entirely on people elsewhere to decide whether a system is accurate, safe or appropriate for its citizens. We build verified networks of people who understand the languages, professions, cultures and markets represented in the AI systems they evaluate.
Explore Sovereign AI →Get matched