A comparable scope
Compare the same process, volume and quality level before and after the transition.
Specialised AI
AI that learns. Algorithms that execute.
Subti learns your processes, then compiles validated rules into deterministic algorithms to limit AI calls on stable, recurring tasks.
Efficiency & measurement
Learn once. Execute with less compute.
On a stable process, AI learns the steps and business rules. After testing and human validation, those rules can be compiled into deterministic algorithms. New cases and exceptions return to AI or a person.
Separate measurements
Track inference costs, GPU time and energy consumption separately, distinguishing learning from recurring execution.
Results to validate
The potential reduction of up to 80% presented by Subti applies to stable, recurring processes. It is not guaranteed for every deployment; gains must be measured in your pilot.
