Teachable
Our products are built to adapt to a specific person, team or domain — not shipped as a fixed black box you can only prompt around.
A European deep-tech company building AI people can teach, control and keep close to their data.
General cloud models made powerful AI widely accessible — but they don't know your context, and they often take control away. A personal AI lacks durable, user-controlled continuity. A business agent needs execution controls before it can be trusted with real systems. A domain user may need a model they can keep training rather than a fixed general one.
Kvantim is one company built around those three gaps: personal context, controlled execution and trainable model capability.
Why Kvantim
Our products are built to adapt to a specific person, team or domain — not shipped as a fixed black box you can only prompt around.
You decide access, approvals and boundaries. Sensitive actions and credentials stay under human control.
Data and memory stay as close to you as each product allows, and any external connection is named honestly.
Kvantia Harness — a supervision layer for an AI worker — is in early access for Windows and macOS. Kvantia AI runs as a working prototype. Enia, a classic transformer model rebuilt from an open-source base, is in development.
We are a small team in Latvia, raising a seed round to fund the next milestones — deeper product work, model training and evaluation. If that is a mission you want to back or join, get in touch.