Closing the loop on post-training.

Introducing Actuator: a closed-loop control layer for supervised fine-tuning, compression, and reinforcement learning.

Plug it right into your existing stack, monitor what you care about, and adapt automatically when training drifts.

+56.9pp Safety
+13.1pp Compression
+7.8% Serving
+15.8pp Capability
Learn more →

From our team

Product Apr 2026
Actuator: The End-to-End Control Layer for Model Transformation
Iluvatar Labs
Research Mar 2026
Divergent-Convergent Attention: Parallel Perspectives for Compositional Reasoning
Ben Zhao · Jenhan Tao
Product Mar 2026
Meet Marvin: the Autonomous ML Research Agent
Iluvatar Labs