Imandra Inc. Unveils Imandra Universe: The Platform for Neurosymbolic AI Agents with Logical Reasoning

AI Assistants like ChatGPT, Claude and Cursor Can Now Tap Directly into Logical Reasoning via Imandra Universe's Reasoning as a Service® M Servers

AUSTIN, Texas, June 4, 2025 /PRNewswire/ -- Imandra Inc., the global leader in cloud-scale automated reasoning, today announced the launch of Imandra Universe, a transformative platform that brings advanced logical reasoning directly to AI assistants like ChatGPT, Claude and Cursor via the Model Context Protocol (M). With a simple 10-second setup and an Imandra API key, s can now enable foundation models and AI assistants to delegate complex reasoning tasks to symbolic logical reasoning engines in Imandra Universe, allowing AI systems to think more precisely, explain their logic and outputs with mathematical rigor.

Imandra Universe Logo
Imandra Universe Logo

This technology enables real-time neurosymbolic AI to enhance practical workflows. For instance, when Claude is tasked with planning a multi-step event, it may overlook key constraints. However, by integrating Imandra Universe, it can seamlessly delegate complex reasoning tasks to Imandra's symbolic reasoning engines, solving the tasks with mathematical precision. This stands as one of the clearest real-world demonstrations of neurosymbolic AI in action—and thanks to M, it requires virtually no integration overhead.

Built on decades of pioneering research in formal methods, artificial intelligence (AI) and mathematical logic, Imandra Universe delivers world-class Reasoning as a Service® for AI systems. In addition to M, Imandra Universe is designed for seamless integration with modern agentic AI frameworks like LangChain's LangGraph, enabling developers to plug advanced logical capabilities directly into their AI systems making agents smarter, safer and more trustworthy.

At launch, Imandra Universe offers a rich suite of APIs for:

  • Deductive reasoning in first- and higher-order logic

  • Formal verification of programs and algorithms

  • Inductive inference and conjecture synthesis

  • Causal and probabilistic reasoning under uncertainty

  • Geometrical reasoning for physical AI and nonlinear control, and

  • Constraint solving for combinatorial reasoning, scheduling and planning

These reasoning tools address a critical need in the generative AI space: enabling systems not only to generate outputs, but also to explain, justify and them. While large language models (LLMs) like ChatGPT excel at generating text, they often struggle with logical consistency exhibiting issues including hallucinations, errors and a lack of transparency. Imandra Universe bridges this gap with its neurosymbolic architecture, seamlessly integrating statistical AI with symbolic logic to anchor AI decisions in mathematical foundations.