Transform industrial reasoning with
Adam, the world’s first AI hardware engineer, and Eve, the first AI service technician.
Whether from design specifications and test plans to test code, or from operating manuals and Jira tickets to troubleshooting recommendations, digital robots and human experts collaborate based on a shared World Model of your data and workflows. Built on our full-stack Probabilistic AI and next-generation retrieval system.
Hardware needs
more velocity,
but without the
costly mistakes.
Normal unlocks complex AI automation for risk-sensitive applications where reliable reasoning and decision-making require understanding complex logic and uncertainty, often grounded in sophisticated technical documentation and process logs.
Normal combines large multimodal models, advanced ontology extraction, and proprietary Probabilistic AI with your knowledge and behaviors to build uncertainty-aware AI into your existing processes. Our enterprise-ready platform is secure, entirely Normal-built, and can be self-hosted.
From the team that pioneered full-stack approaches to probabilistic reasoning1, next-gen RAG2, constrained generation3, … and the first thermodynamic computer4. Leading to industry feats like the first AI verification of complex memory from design specifications and simulations alone.
Collaboration
Purpose-Built for Engineering in the Physical World
Digital robots learn from ground truth and human input to natively reason about your products and augment the most knowledge-intensive, risk-sensitive workflows.
From developing and testing semiconductor hardware and systems which require reasoning across thousands of pages of domain-specific logic, technical diagrams, simulation and code – and even understanding the real world itself.
To servicing, debugging, and documenting complex physical products in customer operations and sales & marketing, which depend on critical input from human experts.
Normal AI partners build and are built upon probabilistic World Models, which intentionally bring more inference and reliability to high-stakes industrial applications.
Digital robots such as Adam and Eve infer a World Model so that they know what is known, unknown, differentiated, and valuable – enabling them to surface confidences and explain with attribution along complex information and insight pathways driven by multiple objectives.
Our approach solves problems that are intractable via high-level enterprise ontologies – remove bottlenecks, reduce errors, and find the best answer.
Own your models, data, and infrastructure. We prioritize transparency and control by using open models and systems developed entirely in-house, which can be self-hosted.
Our platform is designed to ensure the performance and visibility required for your most rigorous enterprise environments.
World-Class Partnerships
Accelerate your hardware testing, design, customer operations, and more with Adam and Eve.
