Wednesday, February 25, 2026
Fractal, a publicly listed global enterprise AI firm serving Fortune 500® organizations, has officially launched PiEvolve—an evolutionary, agentic engine built to advance autonomous machine learning and scientific discovery. With this introduction, Fractal strengthens its position in enterprise-grade AI innovation while pushing the boundaries of self-improving AI systems.
Notably, PiEvolve ranks among the top-performing agents on OpenAI MLE-Bench, a benchmark widely regarded for evaluating AI agents on real-world machine learning challenges. In fact, PiEvolve is the first evaluated agent to exceed 60% in Overall Medal Rate and surpass 80% performance in MLE-Bench-Lite. These milestones represent significant progress in the evolution of autonomous machine learning capabilities.
Beyond performance metrics, PiEvolve stands out for its efficiency. Within a standard 24-hour runtime, it delivers results comparable to systems that require longer execution times and greater computational resources. Furthermore, even at the 12-hour mark, PiEvolve already ranks among top-performing agents by identifying high-quality solutions early in the process. This balance between speed and effectiveness positions it as a practical solution for enterprise-scale applications.
Unlike traditional machine learning models that train once and remain static after deployment, PiEvolve continuously evaluates and refines its outputs. It uses available computational resources to iteratively improve candidate solutions until reaching predefined limits. Built on a graph-structured search architecture, the engine integrates reasoning, code generation, and validation into a unified loop. Consequently, it can handle complex, multi-variable optimization challenges across industries such as supply chain management, financial services, and data center operations—areas where static AI systems often struggle.
Srikanth Velamakanni, Co-founder, Group Chief Executive and Vice Chairman of Fractal, emphasized the importance of this achievement:
"MLE-Bench is widely regarded as the gold standard for evaluating AI agents on real-world machine learning tasks. PiEvolve's ranking among the top systems globally is a meaningful validation of our research direction. At Fractal, our ambition has always been to power every human decision in the enterprise. PiEvolve advances that mission by enabling AI systems that continuously improve and deliver measurable business outcomes."
PiEvolve introduces several advanced features designed for enterprise deployment:
Continuous Optimization: Iteratively evolves solutions until computational thresholds are reached.
Intelligent Memory: Uses priority-based sampling with decay to avoid local optima and explore diverse solution paths.
Dual Strategy Approach: Enhances strong-performing models while debugging weaker ones to improve overall system performance.
Production-Ready Infrastructure: Supports Pause and Resume functionality for long-running tasks and integrates seamlessly with enterprise ML pipelines.
Graph-Structured Search: Systematically navigates reasoning, coding, and validation cycles to refine outputs.
Suraj Amonkar, Chief AI Research and Platforms Officer at Fractal, highlighted the broader impact:
"PiEvolve ranks among the top agents evaluated on OpenAI's MLE-Bench, including systems developed by leading global research labs. Achieving top-tier performance on OpenAI's MLE-Bench is a significant milestone for our research team and reinforces Fractal's commitment to advancing enterprise-grade AI. We are building autonomous systems capable of sustained reasoning, self-improvement, and evolutionary learning, bringing next-generation agentic intelligence to real-world machine learning challenges."
Overall, the launch of PiEvolve signals a new era in agentic AI, where systems evolve continuously rather than remain static. By combining performance excellence with computational efficiency and enterprise readiness, Fractal aims to empower organizations with AI solutions that adapt, improve, and generate measurable business impact over time.
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