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Decoupling Reasoning from Execution.

We started Tai42 with a single insight: most steps in an AI agent pipeline are deterministic and predictable. You’re paying API costs for work that could run locally at zero marginal cost. BabelFish watches your agent’s execution traces, identifies repetitive patterns, and compiles them into local, deterministic code — while Nexus ensures every compiled step is validated and governed.

We're building the infrastructure layer between your agent framework and your LLM provider. Not another wrapper — a compiler that turns expensive API calls into free local execution. BabelFish compiles, Nexus governs. Our goal is to make the cost of running an AI agent converge to zero for predictable steps, so you only pay for genuine reasoning.

Leadership

The Team Behind Tai42

Miki Balin

Founder & CEO

Background in enterprise infrastructure. Building the infrastructure layer between agent frameworks and LLM providers. Previously led engineering teams scaling distributed systems at enterprise scale.

Daniel Frank

Co-Founder & CTO

Background in compiler engineering. Architecting the BabelFish compilation engine. Deep expertise in compiler design, deterministic systems, and high-throughput data pipelines.

Backed by top infrastructure investors. Seed round announcement coming soon.