To build AI-native software engineering systems that are reproducible, verifiable, and grounded — not driven by vibes.
Nove Lab develops infrastructure and tools that bring rigor, determinism, and reproducibility to AI-assisted software engineering.
We aim to transform how engineers work with AI — from intuition-driven outputs to systems that can be understood, verified, and trusted.
We build technologies that support the full spectrum of AI-native software engineering workflows, including requirements engineering, specifications, system design, validation, testing, and beyond.
Our focus is on transforming AI-generated artifacts into structured, controllable, and reproducible systems.
- Reproducibility over intuition
- Verification over assumption
- Structure over ad-hoc generation
- Systems over one-off outputs
To become the foundational layer for trustworthy AI-native software engineering — where every output can be reproduced, verified, and evolved with confidence.