Our first product, APM (Adaptive Plasticity Module), updates a model in about two milliseconds. The result is identical to retraining from scratch.
New tool, new intent, a deletion request, one wrong answer. Today each one means retraining, fine-tuning that forgets, or a filter that hides the problem.
Add a tool, product or category with a few examples. No training run, no downtime.
Remove data and the model is identical to one that never saw it, not just filtered.
Corrections changed only 0.16% of other predictions in our tests.
Roll back a bad batch and get the previous model back exactly.
right tool in the top 5 on a 1,000-tool agent benchmark, versus 86.3% for description search
random adds and deletes, and the model still equals a fresh retrain
from conventional training accuracy, across 8 languages