Expert-curated, high-quality AI training data across STEM, finance, coding, and multimodal domains. Delivered 2× faster through operational excellence.
Production-ready datasets built by domain experts
PhD-level problems in mathematics, physics, chemistry, and biology designed to challenge frontier models through multi-step reasoning and adversarial examples.
Multi-step command-line interface tasks with Docker environments testing system-level reasoning, containerization, and real-world development workflows.
Complex financial analysis problems requiring market research, valuation modeling, and investment rationale synthesis across multiple data sources.
Full-stack development challenges including API design, system architecture, algorithmic problems, and real-world codebase scenarios.
Targeted prompts designed to induce specific failure modes across multiple frontier LLMs, including GPT-5, Claude Sonnet 4.5, and others.
Research-heavy problems requiring information gathering from multiple academic papers, datasets, and sources to reach verifiable conclusions.
We can create tailored datasets for your specific AI training needs.
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