Structure the next generation of model reasoning
Build, test, and refine model behavior in real-world environments. From reinforcement learning and code reasoning to scalable evaluation systems, and robust data packs, Turing structures what happens after training.
Train and evaluate agents in high-fidelity digital worlds that replicate real software workflows and user interactions. Each real-world deployment produces better data. Read the article to learn more.
Test model reasoning on real-world programming tasks with structured datasets, simulated environments, and verifiable results.
View SWE-bench++ to learn more about how our data enables benchmarking, fine-tuning, and reinforcement across multi-language and multi-domain coding tasks.
Measure model understanding and reasoning across authentic, multimodal challenges that mirror real-world complexity.
Curated, expert-validated data packs across coding, STEM, and multimodal domains - built to strengthen model reasoning, tool use, and real-world performance.
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Closing the Gap Between Model Potential and Production Reality
Turing brings real-world environments, production-grade benchmarks to scale with the evaluation and systems advanced models need.
