Within Us AI

Frontier-grade datasets for agentic, reasoning-driven AI software engineering.

Within Us AI builds high-signal open datasets designed to train AI systems that think, build, verify, and operate like real software engineers.

Focus Areas

• Agentic AI & tool-using workflows
• Code LLM datasets (tests-as-truth, diff-first patching)
• Reasoning & evaluation-driven training
• Secure, governed, auditable AI engineering
• Cost- and latency-aware autonomous systems

Flagship Work

• Genesis AI Code
  Demo → 10K → 50K → 100K (Frontier)

Intelligence is not just generated. It is engineered.