Aidalos Enters Collaboration with IBM

Aidalos Enters Collaboration with IBM

Aidalos Enters
Collaboration with IBM

February 17, 2026

Donovan Guin from IBM and Arnulf Hagen from Aidalos, pictured standing together at the TRB 105th Annual Meeting in Washington, DC. They are both smiling at the camera.
Donovan Guin from IBM and Arnulf Hagen from Aidalos, pictured standing together at the TRB 105th Annual Meeting in Washington, DC. They are both smiling at the camera.
Donovan Guin from IBM and Arnulf Hagen from Aidalos, pictured standing together at the TRB 105th Annual Meeting in Washington, DC. They are both smiling at the camera.

Donovan Guin (IBM) and Arnulf Hagen (Aidalos) together at the TRB 105th Annual Meeting in Washington, DC.

Donovan Guin (IBM) and Arnulf Hagen (Aidalos) together at the TRB 105th Annual Meeting in Washington, DC.

Aidalos has entered into a collaboration with IBM. Together, we will explore how our new class of advanced artificial intelligence can deliver deeper insight, analysis, and decision support within transport and critical infrastructure in the United States. For Aidalos, the collaboration represents a clear international breakthrough.

Although Aidalos is a relatively young technology company, we have already attracted attention from leading international research and industry environments. The new collaboration with IBM focuses on transport and infrastructure, sectors shaped by climate change, shifting traffic patterns, and aging assets.

“IBM’s interest in what we are building is both significant and motivating. It confirms that the need for more advanced AI systems is real, particularly in sectors where the consequences of error are substantial,” says Arnulf Hagen, Founder and CEO of Aidalos.

More Complex Than Conventional Tools

Unlike well-known language models such as ChatGPT and Grok, Aidalos is designed to handle complex datasets across domains and over time. The platform consists of cognitive AI agents that analyze, cross-check, and quality-assure one another, drawing simultaneously on sensor data, reports, images, and historical information.

“Many AI tools are optimized for fast answers. Aidalos is built for rigorous analysis, where uncertainty, context, and professional traceability are part of the response. This makes the system suited for critical infrastructure, where shortcuts are not an option,” Hagen explains.

In both internal and external evaluations, Aidalos has delivered significantly stronger analytical performance than established AI models across several disciplines, combining reasoning, verification, and documentation of how conclusions are reached.

An Important Step

The collaboration with IBM has developed through ongoing dialogue about how Aidalos’ technology can function as an intelligent agent within IBM’s existing asset management solutions and data platforms.

As a first step, IBM and Aidalos are conducting a joint Proof of Concept on an existing bridge in the United States, in collaboration with a public sector partner. The project will demonstrate how cognitive AI agents can extract higher-order insight from low-level sensor data.

“The collaboration with Aidalos is about elevating data into insight. By combining IBM’s experience in asset management with Aidalos’ cognitive AI agents, we can introduce a new level of analysis and decision support into existing systems. It represents an important step in how critical infrastructure can be understood and managed going forward,” says Donovan Guin of IBM.

The first phase of the project is scheduled for completion around April, with ambitions for further scaling.

Strong Interest in the United States
Strong Interest in the
United States

The collaboration has already increased attention around Aidalos in the US market. And we have been invited to present our technology at several professional conferences and industry gatherings within transport and infrastructure.

“What we observe is that many are searching for something that goes deeper than today’s generic AI solutions. The need for systems that truly understand situations — not merely process data — is significant. That is precisely where Aidalos is positioned,” says Hagen.

Get in Touch With Us

Send us an email or contact us on LinkedIn

Contact(at)aidalos.com

© 2026 Aidalos AS – All Right Reserved

Get in Touch With Us

Send us an email or contact us on LinkedIn

Contact(at)aidalos.com

© 2026 Aidalos AS – All Right Reserved

Get in Touch With Us

Send us an email or contact us on LinkedIn

Contact(at)aidalos.com

© 2026 Aidalos AS – All Right Reserved