Code generation models need expert-written data, not scraped repositories. We deliver high-quality coding and STEM datasets, written, reviewed, and validated by domain specialists and senior developers across 25+ programming languages.
Trusted by teams at
Training code models on scraped repositories gives you volume, but not quality. Real-world code is messy, undocumented, and often wrong. Your model learns bad patterns alongside good ones and can't tell the difference. Purpose-built datasets give your model the signal it needs without the noise.
Comprehensive coverage across programming languages and STEM disciplines, all produced by vetted specialists.
Production-experienced developers covering mainstream, systems-level, and emerging frameworks with idiomatic best practices.
Qualified specialists across core STEM disciplines producing data that requires genuine domain knowledge, not surface-level pattern matching.
Beyond simple code completion. We cover the full range of tasks that code and STEM models need to handle in production.
Code that doesn't compile is worse than no data. STEM reasoning with errors teaches your model to be confidently wrong. Our quality framework catches failures before they reach your training pipeline.
All data produced by qualified professionals with hands-on experience, not junior annotators or crowd workers following templates.
Code is tested for compilation, execution, and correctness. STEM solutions verified step-by-step against ground truth.
Deliberate inclusion of boundary conditions, error handling, and non-obvious cases that distinguish good code from textbook examples.
Idiomatic code per language, consistent documentation standards, and adherence to community best practices across all outputs.
Second-expert review on all outputs, catching errors, improving explanations, and validating that the data teaches the right patterns.
Whether you're building a code assistant, fine-tuning for domain-specific STEM, or scaling evaluation data.
You need clean, correctly structured code data across many languages without the licensing issues and quality variance of scraped repos.
You're evaluating code generation quality across clients and need reliable, professionally reviewed benchmarks at scale.
You're fine-tuning for specific coding or STEM tasks and need training data with verified correctness, not just pattern-matched outputs.
Tell us about your model, the languages and domains you need, and your quality requirements. We'll design a data operation that delivers production-grade outputs at the scale you need.