RCS - Dynamics Group AG - Giotto.ai Collaborates with SAP to Advance AI

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RNS Number : 3763H  Dynamics Group AG  08 June 2026

 Dynamics Group AG / Key word(s): Miscellaneous

Giotto.ai Collaborates with SAP to Advance AI Reasoning Capabilities in SAP
 Joule Agents

08.06.2026 / 08:30 CET/CEST

PRESS RELEASE

 Giotto.ai Collaborates with SAP to Advance AI Reasoning Capabilities in SAP
 Joule Agents

 Lausanne, 8 June 2026.  Giotto.ai, the pioneering Swiss AI Lab, today
 announced a collaboration with SAP, a global leader in enterprise applications
 and business AI, to explore the integration of advanced AI reasoning
 capabilities into SAP Joule Agents.

 The rise of the Autonomous Enterprise, where human expertise and judgement
 remain at the core while systems operate with increasing independence and
 intelligence, demands a new level of robust, efficient, and controllable
 reasoning as organizations move beyond basic automation. Together, the
 companies will explore the use of Giotto.ai's technology to advance SAP Joule
 Agents for enhanced decision-making within enterprise workflows.

 Giotto.ai, a Swiss AI company originating from EPFL, the Lausanne-based
 federal technology university, has developed a new class of compact yet highly
 capable models focused on reasoning efficiency, delivering strong performance
 while remaining deployable within controlled enterprise environments.
 Giotto.ai will collaborate with SAP on targeted pilot projects to deploy these
 capabilities in enterprise contexts, with a focus on enhancing SAP Joule
 Agents in scenarios requiring structured reasoning, reliability, and deep
 integration with enterprise data.

 Unlike traditional AI models that rely heavily on centralized infrastructure,
 Giotto.ai's system is designed to operate as a portable reasoning layer,
 enabling secure deployment within private environments while maintaining high
 performance. This effort reflects a broader shift in enterprise AI from
 generic models to multi-agent systems that can operate reliably in complex,
 regulated environments, making Giotto.ai's collaboration with SAP a key step
 toward moving its technology from frontier research into large-scale
 enterprise deployment.

 Aldo Podestà, CEO at Giotto.ai, said : "We are entering a phase where
 enterprise AI must go beyond basic use cases into more ambitious ones that
 require advanced reasoning and (very) large context understanding. Working
 with SAP allows us to validate our technology in some of the most demanding
 real-world environments."

 Yaad Oren, Head of SAP Research and Innovation, said: "As enterprise AI
 evolves towards more autonomy, advanced reasoning becomes a foundational
 capability. Our collaboration with Giotto.ai allows us to explore new
 approaches to efficient, controllable reasoning that are purpose-built for
 enterprise environments. This work directly supports our vision of trusted and
 governed agentic AI solutions that can operate reliably within complex
 business processes."

About Giotto.ai

Founded in 2017, Giotto.ai is a multinational-staffed, Swiss-based AI research
 lab focused on developing a world leading portable reasoning system. Following
 substantial interest from investors, the Company is also working on a capital
 raise to consolidate its independent and sovereign model and serve companies
 and institutions across Switzerland and Europe.

 SAP and other SAP products and services mentioned herein as well as their
 respective logos are trademarks or registered trademarks of SAP SE in Germany
 and other countries. Please see https://www.sap.com/copyright
 (https://www.sap.com/copyright)  for additional trademark information and
 notices. All other product and service names mentioned are the trademarks of
 their respective companies.

 Media contacts: Thierry Meyer, Senior Partner, Dynamics Group
 - tme@dynamicsgroup.ch (mailto:tme@dynamicsgroup.ch)  - +41 79 785 35 81

Additional features:

File: Press release (PDF)
 (https://eqs-cockpit.com/c/fncls.ssp?u=5fa652bac996303ad70c1ec93c107bd5)

End of Media Release

2338940  08.06.2026 CET/CEST

 

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