Our methodology and tools
A state-of-the-art approach proven on industrial use cases to ease adoption and integration of AI
Industrial AI can’t scale without trustworthiness
Artificial intelligence holds immense potential to transform industry. Yet, many AI solutions remain stuck at the proof-of-concept stage, struggling to achieve successful large-scale deployment. There is an urgent demand from industrial stakeholders for trustworthy, ready-to-deploy AI technologies that can be seamlessly integrated into real-world operations.
The enabler for trustworthy AI
Our association, in collaboration with pioneering industrial players and research labs, has developed a comprehensive methodology and a set of open-source practical tools to engineer AI-based systems that can be trusted
The end-to-end engineering methodology
A powerful Research-Industry Alliance
Our cutting-edge methodology is the result of a collaboration between multidisciplinary players from our ecosystem, designed to support industrial users in engineering systems
… Structured to enable coordination and coherence across fields of engineering
Served as a common reference framework, our methodology helps teams to align their efforts, build mutual understanding and collaborate effectively — despite their different areas of expertise.
The catalog
An expanding set of open-source tools……
Our portfolio will be enriched with methodological and technological assets that provide value within their respective domains to address our challenges.
Applicable across industries and use cases……
We select tools to tackle technological challenges and evaluate them using real industrial use cases.
Aligned with key engineering processes
We cover all the phases; end-to-end engineering, data lifecycle management, and real and operational projects management component evaluation, component rollout, operating system management, robustness, applicability, and uncertainty quantification.
Follow the latest news of responsible and industrial AI
With our bimonthly newsletter
