Recursive Self-Improvement System (RSIS)

RSIS is our approach to building practical, trustworthy AI that runs under the owner's control: AI that improves itself, one validated improvement at a time.

1. 01

   Improvement that compounds

   RSIS is recursive. It starts from its initial capabilities, and every validated improvement becomes the foundation for the next, so improvement compounds.

   initial capabilitiesimprovement compounds

2. 02

   Evaluate, refine, improve, repeat

   RSIS improves in a closed loop. In each round it proposes a better version of itself, then tests and refines it.

   evaluate refine improve repeat
3. 03

   Only what passes is adopted

   Every improvement has to pass checks before it is adopted. What does not pass is left out, so the system grows more capable without drifting out of control.

   improvementchecksadopted

4. 04

   The owner stays in control

   Control is built into the design. It does not depend on the AI choosing to cooperate. Changes are recorded and traceable, the owner is kept informed, and the owner always holds the off switch.

   the owner off switch

   recorded traceable kept informed

5. 05

   Your AI, on your terms

   RSIS is designed for efficiency, so capable AI can run on hardware the customer controls. Their data stays theirs.

   hardware the customer controls AI data