Reasoning Datasets
Curated reasoning traces and chain-of-thought examples for teaching models to think step by step.
AI Training Infrastructure
Reasoning datasets, SFT datasets, and knowledge graphs — curated assets for building and fine-tuning capable models.
Coming
Models need more than prompts. They need reasoning traces that teach step-by-step thinking, instruction pairs for supervised fine-tuning, and knowledge graphs that ground answers in verified structure.
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What we build
Curated reasoning traces and chain-of-thought examples for teaching models to think step by step.
Instruction and response pairs formatted for supervised fine-tuning across domains and tasks.
Entity-relationship graphs that ground models in verified facts and domain ontologies.