These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
Saimple
Numalis develops tools to help the design and the validation of AI systems. Its solutions also provide guidance for any industry vertical to help them adopt AI more quickly and in a safe manner.
Saimple is the first SaaS solution for analyzing and validating artificial intelligence, specifically neural networks and SVMs. Saimple helps data scientists and AI engineers build more reliable and better documented AI models faster.
With Saimple’s analysis, you will be able to measure the robustness of neural networks in one click and automatically extract explainability elements. With this new information, vulnerabilities are more quickly identified in order to accelerate the design, training and validation phases of systems. Numalis’ standardization work allows you to implement good design practices and, ultimately, to obtain any certifications required for your business.
Saimple is a SaaS solution that can be used both via a Web interface and an API from all development languages and environments. Using the API allows you to integrate the solution directly into the workflow of your data engineers throughout the development cycle of your products.
Thanks to Saimple, you are taking part in the development of ethical AI and you can also make AI more environmentally friendly by optimising its operation and reducing the number of calculations needed to make AI efficient.
About the tool
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Tags:
- trustworthy ai
- validation of ai model
- ai auditing
- machine learning testing
- ai compliance
- model validation
- ai vulnerabilities
- validation
- robustness
- explainability
- adversarial ai
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