Imandra Inc. Advances Neurosymbolic AI Reasoning with ImandraX Release

New release introduces breakthrough innovations in proof automation, counterexample generation, and decision procedures, to elevate AI-driven logical analysis industry standards

Imandra Inc., the AI startup pioneering neurosymbolic reasoning, today announced ImandraX, the latest major release of its flagship Imandra automated reasoning engine. ImandraX marks a significant advancement in AI-driven logical reasoning, introducing powerful new reasoning algorithms and groundbreaking architectural features that enable seamless integration with AI agents.

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With the increasing reliance on AI in high-stakes industries—including finance, healthcare, and autonomous systems—trustworthy, explainable, and mathematically rigorous reasoning is more critical than ever. ImandraX sets a new standard in AI-driven logical analysis with cutting-edge innovations in proof automation, counterexample generation, and decision procedures that improve both performance and reliability.

“ImandraX is a transformational step in making advanced symbolic reasoning a core part of AI workflows,” said Denis Ignatovich, Co-founder of Imandra Inc. “By equipping AI agents with powerful automated logical reasoning and formal verification capabilities, we’re pushing the boundaries of what intelligent systems can achieve.”

Co-founder Dr. Grant Passmore added: “ImandraX is the culmination of years of research and real-world deployment across some of the most demanding industries—including finance, defense, and AI. Our customers and partners rely on Imandra’s automated reasoning to ensure the safety and reliability of mission-critical systems, from financial exchanges to autonomous agents. With ImandraX, we’re not just making rigorous reasoning accessible—we’re making it indispensable for the next generation of AI-powered decision-making.”

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ImandraX introduces a range of groundbreaking capabilities, including:

• Breakthroughs in Proof Automation – Introduces new techniques for mixed discrete and continuous recursive functions over datatypes, enabling the first formal model and verification of the new IEEE P3109 standard for small (<16) bit binary floating-point formats. These new formats are essential for accurate quantization and distillation of neural networks and are being developed by the IEEE P3109 working group.
• Progress in Neural Network Safety Verification –Integrates higher-order bounded model checking and induction, powering the first formally verified proof checker for neural network safety property verification.
• Foundational Advancements in State-Space Region Decomposition – Delivers >4x speedups for region decomposition jobs, significantly improving efficiency for finance users generating high-coverage test suites for FIX connectivity and other mission-critical applications.
• Enhanced Developer Experience – A new VS Code plugin enables parallel proof development with concurrent jobs running in Imandra’s reasoning cloud, streamlining the formal verification workflow.
• Seamless AI Integration – Imandra’s new Python API facilitates continuous integration with AI agent frameworks, empowering forthcoming neurosymbolic AI reasoning agents innovations.
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