Talk to your organization's data in plain language. Nothing leaves your environment.
Letalk lets organizations analyze their own data in natural language without a cloud LLM in the loop. The model runs locally, on hardware the organization controls, so datasets that can't legally or strategically leave the organization's environment — under GDPR, sector-specific EU regulation, or plain competitive sensitivity — can still be queried conversationally.
An edge LLM runs on your own hardware instead of a vendor's cloud. For EU organizations working with regulated data — health records, financial data, HR data — that distinction is often the difference between an AI tool that clears a DPO review and one that doesn't, because the data-transfer question simply doesn't arise if the data never leaves the building.
EU organizations handling regulated or confidential data — healthcare, legal, financial services, HR, or public sector — who want conversational access to their own spreadsheets, databases, and documents without a cross-border transfer to a cloud AI vendor.
No — the model runs on infrastructure the organization already controls, so there's no cross-border transfer or third-party processor to put a DPA in place for.
It runs on the same edge-optimized model deployment approach used across Knovik's AI practice — modern on-premise servers or capable local hardware, no specialized AI infrastructure required.