Industries

Where proprietary data meets strict rules

Custom models pay off most where the vocabulary is specialised, the data is sensitive, and mistakes are expensive.

Banks, lenders, insurers, and fintechs.
Financial Services
Financial data is sensitive, heavily regulated, and full of jargon that general models misread. We train models that stay inside your perimeter and can explain their outputs.
Providers, payers, and life-science teams.
Healthcare & Life Sciences
Clinical language is dense, abbreviated, and unforgiving of errors. We build models tuned on de-identified clinical text and judged by clinicians, not just automated metrics.
Law firms, in-house counsel, and legal-tech builders.
Legal
Legal work depends on precise wording and a clause library built up over years. We tune models on your precedents so they draft and review the way your practice does.
OEMs, suppliers, and field-service operations.
Manufacturing & Industrial
Manuals, maintenance logs, and part catalogues hold decades of know-how that public models have never seen. We train models that speak your part numbers and procedures.
Government departments and public institutions.
Public Sector
Citizen services need accuracy, transparency, and support for regional languages. We build models that run on sovereign infrastructure and are fully auditable.

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The method is the same wherever there's proprietary data. Tell us about yours.

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