use cases
What teams actually build.
Twenty use cases open models already cover in production, each with the pipeline, the model that does the work and the sectors where it sells. EU infrastructure, zero logs, one flat rate.
RAG over internal knowledge
Grounded answers from your docs
02Semantic search & recommendation
Search, ranking, recommendation
03Research
Multi-source synthesis with citations
04Document analysis
Insight across large doc sets
05Summarization
Calls, tickets, long documents
06Document extraction
Structured data from documents
07Document review & QA
Compare, check and cite
08KYC verification
Onboarding documents, checked
09Anonymisation
Redact before you share
10Synthetic data
Test data with no real person
11Customer support
Deflect and answer at scale
12Voice & transcription
STT, voicebots and TTS
13Conversation QA
Score every call, not a sample
14Professional copilots
In-app and internal assistants
15Autonomous agents
Automation with no token caps
16Content generation
Copy, descriptions, variations
17Translation
Multilingual, high-volume
18Classification & triage
Route and label at volume
19Visual inspection
Judge images at volume
20Code migration
Legacy to a supported stack