Foundational Capabilities
System 2 Reasoning.
We are moving beyond probabilistic pattern matching to verifiable, multi-step reasoning. Our models do not just guess; they plan, critique, and execute.
Native Chain-of-Thought
Reasoning is not an emergent side-effect; it is a training objective. We penalize models that jump to conclusions without generating a valid intermediate logic trace.
Active Tool Use
Our models are trained to recognize their own limitations and autonomously call external APIs, run code, or query databases to ground their answers in reality.
Self-Correction
We implement "Critic-Actor" loops where the model reviews its own output for logical fallacies before showing the result to the user.
"A model that cannot explain its reasoning is just a very expensive random number generator."
— Ekjot Singh, Founder