Azaries® Comments

Explore insights from top industry leaders and analysts who have evaluated Azaries. Their feedback highlights the innovative features and potential impact of this technology on the market.

What the experts thought about Azaries

“All seems very impressive.”

Malik Kazi Aoual, Veronique Ventos, Dominique Bouthinon, NukkAI ( AI Agent)

“I think your tool provide an accessible tool for end-users to obtain machine learning models that are explainable, good work!”

Associate Professor Wang-Zhou Dai, University of Nanjing

“It’s intuitive, reliable, and genuinely enjoyable to use. It gives me great satisfaction in seeing something I contributed to being put into practice. Well done on bringing this as a platform!”

Robert Anthony Kowalski "Bob" (American-British logician and computer scientist)

“Honestly, it feels like this platform was designed with users in mind. Everything just works the way you expect, and that’s rare these days, because if I had got this 6-7 years before, I would have made work easier for my company and clients.”

From JK (NIAB - Cambridge)

"This is really interesting and opens up a lot of possibilities, I was thinking about doing this but it seems you beat me to it."

Andrew Cropper, Research Fellow, University of Oxford. In October 2025 he will join ELLIS Institute Finland as a principal investigator and Helsinki University as an associate professor

“This platform is really good.”

Professor Robert A. Kowalski, Imperial College

“It's perfect, we need documentation.”

Aboubaker Seddiq Benterki, University of Taltech

“As someone working in explainable and trustworthy AI, I find the Azaries SPARK platform to be a significant and forward-looking development. It represents a powerful step forward in building scalable, explainable, and trustworthy AI solutions”

Assistant Professor Dany Varghese, University of Surrey

“As someone working in explainable and trustworthy AI, I find the Azaries SPARK platform to be a significant and forward-looking development. It represents a powerful step forward in building scalable, explainable, and trustworthy AI solutions”

Assistant Professor Dany Varghese, University of Surrey

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