
Technology
|
Code Intelligence
|
YC W26
|
Valuation:
Undisclosed

Last Updated:
March 24, 2026

Builds an AI-powered mainframe modernization platform using RL, LLMs, and formal verification (TLA+) to automate documentation, translation, and verification of legacy codebases like COBOL for regulated enterprises.
Rosetta AI suite for automated legacy code documentation and COBOL translation. Open-sourced Specula (TLA+ spec synthesis), Mobol (mainframe transactions), and OR-bench-sample. Positioning as "verifiable operational superintelligence."
Formal verification tooling and operations research benchmarks signal investment in correctness infrastructure. RL environments for proprietary training. Enterprise financial services pilots imminent.
AI-powered automated translation of legacy COBOL codebases into modern programming languages with formal correctness guarantees.
It automatically rewrites ancient bank software into modern code and mathematically proves the new version does exactly the same thing.
It's like hiring a translator who not only converts an ancient legal contract from Latin to English but also has a notary stamp proving every clause means exactly the same thing.
Building reinforcement learning environments with formally verified reward signals to train AI coding models that produce provably correct outputs.
They built a training gym for AI where the AI only gets a gold star if a math proof confirms its code is actually correct.
It's like training a self-driving car in a simulator where the laws of physics are mathematically perfect, so when it hits the real road, it already knows exactly how to behave.
AI-driven automated documentation and business logic extraction from undocumented legacy mainframe codebases to preserve institutional knowledge.
It reads millions of lines of ancient, uncommented bank code and writes a plain-English manual explaining what every part does and why.
It's like an archaeologist who can read every hieroglyph in a pyramid, then write a guidebook so clear that a tourist could rebuild it from scratch.
Joseph Tso (Princeton, IEEE/Elsevier published), Preston Schmittou (Carnegie Mellon), Quan Huynh (UVA). Uniquely combines formal verification (TLA+), RL, and operations research to guarantee correctness in AI code transformation. Regulated industries need mathematical proof that translated code preserves business logic.