OMADA / Who we work for
Make AI-generated language useful in the real workflow.
Make multilingual AI output understandable, consistent and fit for its intended use. We bring linguistic judgement to the places where automated measures alone cannot explain meaning or risk.
OMADA / How we help your team
How we help your team
Make multilingual AI output understandable, consistent and fit for its intended use. We bring linguistic judgement to the places where automated measures alone cannot explain meaning or risk.
01 / The challenge
See what the model really says
A fluent sentence can still misstate a product term, omit a condition or adopt the wrong register. We assess representative prompts and responses against source meaning, user intent and domain terminology. Findings are recorded as specific error types that a team can act on.
Prompt sets · response samples · multilingual evaluation
02 / Our response
Give terminology a role in the workflow
Approved terms, prohibited variants and context examples turn general model instructions into testable guidance. We help prepare language assets and review output in context, including interface labels, support content and specialist passages.
Termbases · style rules · context checks
03 / The result
Put human review where it matters
Not every output carries the same consequence. We distinguish exploratory content from customer-facing or regulated material, then define escalation, full post-editing or specialist revision as appropriate. The result is a review path with clear acceptance criteria.
Risk tiers · human post-editing · QA feedback
OMADA / Why OMADA?20,000+ termsIn more than five languages 27+ languagesEuropean and further directions 200+ collaboratorsSpecialist language network 20m+ wordsMultilingual work
Why OMADA?
Human linguistic judgement around your AI workflow.
Our terminology work includes more than 20,000 terms in more than five languages. A network of over 200 collaborators supports review across more than 27 languages, with subject expertise and review level scoped to the use of the content.
Have a specific brief?
Bring a sample of prompts or model output. We can define terminology rules, an evaluation rubric and a review route before you scale.