Most models stop learning the day they ship. Boltzbit lets your AI adapt to new data, new tasks and new users in production — without forgetting what it already knows.
Products, policies and customers change. A model trained last quarter is already out of date.
Teach a model something new and it quietly loses what it knew before — catastrophic forgetting.
Full retraining cycles burn weeks of GPU time and engineering effort for every update.
Capture new data, corrections and feedback as your AI runs in the real world.
Update the model incrementally — small, efficient steps instead of full retrains.
Protect existing skills so new learning never overwrites what already works.
Every update is evaluated before it goes live. Roll back in one click.
We're working with a small group of early design partners. Tell us about your use case.