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Recurvia is an AI research company developing technologies that make neural network training dramatically more efficient. Our research focuses on using AI to optimise AI. We build foundation models trained with multi-agent reinforcement learning that learn to improve the training of other neural networks, helping reduce compute requirements while improving model performance. Alongside our research, we’ve developed Metrana, an RL-native (not RL-only) experiment tracking and observability platform designed for modern AI workloads. Originally built to support our own researchers, Metrana has evolved into a high-performance platform that gives AI teams the visibility they need to debug, analyse and optimise large-scale training runs. As AI models continue to grow, compute is becoming one of the industry’s greatest constraints. We believe the future of AI won’t simply be defined by larger models, but by making every GPU hour significantly more productive. Our mission is simple: build AI that accelerates AI.