We believe AI should think, not just respond.
LogicCycle AI was founded on a simple observation: most AI systems generate outputs, but few actually reason. We're building the infrastructure that bridges that gap.
Our platform enables enterprises to deploy AI agents that decompose complex problems into logical steps, validate each inference, and self-correct when they drift. The result is AI you can trust — auditable, deterministic, and grounded in facts.
"Logic" represents the reasoning core. "Cycle" represents the iterative self-improvement loop. Together, they define a new paradigm for enterprise AI.
A team of researchers, engineers, and operators obsessed with reasoning.
Former VP of AI at Stripe. PhD in Computational Logic, MIT.
Ex-Google DeepMind. Built reasoning systems at scale for 10+ years.
Former principal engineer at Databricks. Distributed systems expert.
Published 30+ papers on automated reasoning. Ex-OpenAI research scientist.
We'd rather ship something correct than something fast. Reasoning demands precision.
Every AI decision should be explainable. We build audit trails into everything.
Our logic primitives are open source. We believe the best infrastructure is built in the open.
We build for the engineers deploying AI in production, not for demos.