Fractal Analytics has launched ‘PiEvolve’, an evolutionary, agentic engine designed for autonomous machine learning and scientific discovery. PiEvolve is ranked among the top-performing agents on OpenAI’s MLE-Bench, a benchmark that evaluates how effectively AI systems can solve real-world machine learning challenges. It is the first evaluated agent to surpass 60% in Overall Medal Rate and 80% in MLE-Bench-Lite performance, crossing thresholds widely viewed as significant milestones in autonomous machine learning. These results mark a meaningful advance in agentic AI capability. 

The key features of PiEvolve include, Continuous Optimization, Intelligent Memory, Dual Strategy, Production-Ready and Graph-Structured Search. PiEvolve also combines strong performance with efficiency. Within a standard 24-hour run, it delivers results comparable to systems that require longer runtimes and greater compute. Even after 12 hours, it ranks among the top-performing agents, identifying high-quality solutions early. 

Unlike traditional machine learning models that are trained once and then deployed, PiEvolve continuously tests and improves its own solutions until the available compute budget is fully utilized. Built on a graph-structured search architecture, it integrates reasoning, code generation, and validation within a unified iterative process. This enables it to tackle complex, multi-variable optimization problems across supply chains, financial services, and data center operations, where static AI systems often struggle to perform at scale.

Fractal Analytics is the leading provider of advanced analytics that helps companies leverage data driven insights in taking considered decisions.