AI in your operations, with data kept in-house
AI pays off only when tied to a specific workflow. Tetra runs models on your own servers where the data is sensitive, and proposes a bounded pilot before any large investment.
For you whenWhen you want AI for operations but sensitive data can't leave.
What stands in the way, and how Tetra solves it
Many organizations want to use AI but hesitate to send records, contracts and internal data to a third-party cloud — especially as the Personal Data Protection Law (effective 2026) tightens the rules. AI value often stalls at the pilot stage, never reaching real workflows.
Put AI where the work is: extract structured data from documents with Molly, search documents with AI inside eOffice, and generate training tests from your material with Otter Test. Models run on-premise (e.g. local Gemma), so data never leaves the organization.
- Documents turned into usable data — no manual entry.
- Search internal documents with natural-language questions.
- Models run on-premise — data never goes to a third-party cloud.
Where it applies
Products in this pillar
Further reading
Every Tetra solution runs on your own infrastructure, which makes Vietnamese data-protection compliance easier to demonstrate. Read our data-sovereignty articles →
Personal Data Protection checklist
Review your compliance with the law in force since 01/01/2026.
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