Numalis provides tools for validating and enhancing the reliability of neural networks, ensuring their performance meets industry standards. The platform addresses the critical need for trustworthy AI by improving accuracy in predictive maintenance, data augmentation, and image processing applications.
Funding
$6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The increasing reliance on AI in critical industries necessitates robust validation methods to ensure the reliability and safety of neural networks, especially where errors can have significant consequences. Current AI development processes often lack sufficient tools to guarantee the performance and trustworthiness required for high-stakes applications.
Solution
Numalis provides a suite of tools and services designed to validate and enhance the reliability of AI systems, enabling confident adoption of AI across various industries. The platform offers solutions for improving AI training and design, along with neural network validation, ensuring AI systems are reliable and explainable. Numalis's technology industrializes decades of research on formal methods, helping organizations prove AI reliability through robustness validation and explainable decision-making processes. By contributing to AI standards and offering a static analyzer for AI validation (Saimple), Numalis supports the development and deployment of trustworthy AI systems.
Target Audience
The primary target audience includes organizations in critical industries such as transportation, defense, healthcare, and space, as well as AI developers and researchers seeking to enhance the reliability and trustworthiness of their AI systems.
Features
- AI model robustness validation, ensuring performance in challenging conditions.
- Explainability features providing insights into model behavior for critical decision-making processes.
- Static Analyzer for AI Validation (Saimple) for formal AI validation.
- Tools for improving AI training and design.
- Compliance with AI standards.
- Support for various industries including transportation, defense, healthcare, and space.