PATHWAY ANALYTICS
REVERSIBILITY AND RESOURCE-AWARE SCHEDULING THAT INCREASES COMPUTE PER MW WHILE DECREASING ENERGY USE BY OVER 50%
About Pathway Analytics
We are developing Opus, a compiler-layer parallelization technology that makes code execution predictable, efficient, and fully reversible. We transform complex code into small, single-output pathways that behave deterministically and can be scheduled in advance. The result: systems waste less time managing uncertainty and more time doing useful work. This translates into dramatically higher compute per MW and energy efficiency gains of over 50%.