AI company Imandra Inc. has revolutionized automated logical reasoning and announced the release of Imandrax, an advancement in its latest Neurosymbolic AI reasoning. This landmark version introduces cutting-edge capabilities in proof automation, counterexample generation and decision-making procedures, setting new industry standards for AI-driven logic analysis.
As AI systems increasingly span mission-critical applications across industries such as finance, defense, healthcare and autonomous systems, the need for trustworthy, interpretable and mathematically strict reasoning has never been so high. Imandrax integrates powerful automated reasoning with AI proxy, verification frameworks and real-world decision models into the boundaries of AI.
Imandra Inc. : Developing AI-driven logical reasoning
Imandra Inc. is a pioneering reasoning for a global AI company – the AS-A-Service® platform for automatic logical reasoning for finance, defense and key industries. Its advanced AI-driven solutions include ImandraMarkets® and ImandraConnectivity®, which provide rigorous formal verification, design automation and compliance tools for mission-critical applications. Imandra is based on profound advances in automatic reasoning, enabling businesses to confidently adopt logical, accurate and aesthetically pragmatic AI-driven insights.
Imandra is committed to bringing strictness and governance into the most critical algorithms in the world. The company has built a cloud-scale automated inference system that enables organizations to use mathematical logic for AI inference. Globally researchers, companies and government agencies rely on Imandra’s technology on Imandra’s technology.
Raise the bar in AI reasoning
Denis Ignatovich, co-founder and co-CEO of Imandra Inc. explain, “Imandrax is a transformative step that makes advanced symbolic reasoning a core part of the AI workflow. By providing AI agents with powerful automatic logical reasoning and formal verification capabilities, we are pushing the boundaries that smart systems can achieve.”
Dr. Grant Passmore, co-founder of Imandra Inc. additional, “Imandrax is the ultimate in research and real-world deployments for some of the most demanding industries (including finance, defense and AI). Our customers and partners rely on Imandra’s automated reasoning to ensure mission-critical systems from financial communication to autonomous agency Security and reliability. With Imandrax, we not only make strict reasoning accessible, but it is also essential for next-generation AI-driven decision-making.”
Key innovations at Imandrax
Imandrax introduces several breakthrough features, including:
- Prove the breakthrough in automation – Improve logical reasoning by introducing new technologies that mix discrete and continuous recursion functions on data types. This innovation realizes the first formal model and validation of the new IEEE P3109 small standard (
- Neural Network Security Verification – Powering the first formally validated proof checker for neural network security verification, leveraging advanced bounded model inspection and induction to ensure that AI models can operate safely and as expected.
- State space area decomposition – Provides over 4x acceleration for area decomposition tasks, significantly improving financial users’ efficiency in FIX connection testing and other mission-critical applications.
- Developer experience enhancement – The newly introduced VS code plugin enables parallel proof development, allowing concurrent jobs to run in Imandra’s inference cloud and simplify formal verification workflows.
- Seamless AI integration – Imandrax seamlessly integrates with Imandra’s new Python API, allowing smooth adoption of the AI proxy framework, laying the foundation for the next wave of Neurosymbolic AI reasoning agents.
Solve the most difficult logical challenge of AI
Dennis Ignatovic explain, “Imandrax is built on a large-scale industrial application of years of automated inference. Version X combines new inference algorithms, groundbreaking architectural features, and seamless integration with Agentic AI, including the Langgraph library.”
Neural networks and AI-driven decision-making models must address a range of challenges, including explanatory, verifiable, and security. Many current AI models, especially those used in deep learning, are “black boxes” and therefore difficult to understand or verify their decision-making process. This opacity poses a major risk in high-risk industries such as finance, healthcare and autonomous systems, where AI decisions can have far-reaching real-life consequences.
For industries that rely on neural networks, ensuring robustness and security is crucial. Ignatovic Explain, “In industries where security is critical, neural networks are increasingly dependent, so ensuring their performance is very important and to noisy investment is very important. Imandrax logarithmic calculations and its overall formal verification infrastructure The reasoning capability allows it to verify neural network properties, while also checking the correctness of proofs generated by third-party theorem predators.”
Why this is important for finance, defense and autonomous systems
Industry sectors such as finance, defense and autonomous systems operate in an environment where precision, reliability and compliance are critical. Regulatory standards in these areas are evolving and AI-driven solutions are needed to meet stringent oversight requirements. Failure to comply with these regulations can lead to legal consequences, financial losses and safety hazards.
Ignatovic Detailed description, “These industries must adhere to strict regulation and security, but their complexity is far beyond what humans fully understand. Imandra’s proof of automation and decomposition of state space areas, coupled with LLM integration, allows developers and engineers to analyze in depth System behavior, ensure compliance and strictly test AI-driven systems.”
In the financial market, AI algorithms are responsible for real-time transaction decisions, fraud detection and risk management. Even small differences can have huge impacts and are therefore critical to maintaining system integrity. Similarly, in defense, autonomous systems must operate under strict restrictions to ensure AI-driven decisions are aligned with mission goals and security protocols.
Autonomous systems, including autonomous vehicles and drones, depend on AI models that must navigate unpredictable environments while ensuring passenger safety and regulatory compliance. Ensuring that these AI-powered systems act reliably under all possible conditions requires rigorous testing methods that traditional methods cannot provide. IMandRax intervenes by providing automatic logic verification that allows thorough scenario-based testing to reduce risks associated with AI unpredictability.
Neurosymbolic AI and AI-driven future decision making
Ignatovic emphasize, “We view the neural affirmation approach as the next important step in AI evolution. Traditional statistical models, such as LLM, lack basic logical reasoning. Imandrax bridges this gap and provides unparalleled automation for analyzing complex algorithms, This is one of the key applications of AI today.”
