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Axiomatic Intelligence Research

Pioneering a new class of AI that combines formal logic with deep learning for verifiable, interpretable, and trustworthy solutions

What is Axiomatic Intelligence?

Axiomatic Intelligence (AxI) represents a fundamental shift from traditional AI approaches. Unlike conventional AI systems that function as opaque black boxes prone to hallucinations and unreliable outcomes, AxI combines formal logic with deep learning to ensure precise, efficient, and transparent automation.

Our research focuses on creating AI that reasons like a scientist, designs like an engineer, and optimizes like a mathematician—delivering verifiable results for high-stakes engineering and scientific workflows.

Key Research Areas

  • Formal verification and theorem proving
  • Physics-based AI modeling
  • AI for semiconductor & photonic design
  • Automated scientific discovery
  • Interpretable deep learning

Our Approach

We combine cutting-edge research with practical engineering to deliver transformative results

Rigorous Verification

Every prediction and design is backed by mathematical proofs and formal verification, eliminating hallucinations and ensuring correctness.

Physics-First Design

Our AI deeply understands physics and engineering principles, enabling it to generate designs that respect fundamental laws and constraints.

Transparent Intelligence

Our systems provide clear explanations and reasoning chains, making AI decisions understandable and trustworthy for critical applications.

Publications coming soon

Publications & Papers

We're committed to advancing the field through rigorous research and open collaboration with the scientific community. Our team regularly publishes findings in top-tier venues.

Interested in collaboration? Let's discuss your research goals.