
aicas Article “From Prototype to Production: AI Workflows in Vehicles”
A deep dive article about AI workflows in vehicles by aicas CEO & CTO Dr. James J. Hunt was published by Hanser Automotive.
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A deep dive article about AI workflows in vehicles by aicas CEO & CTO Dr. James J. Hunt was published by Hanser Automotive.

aicas, a leader in embedded software solutions and realtime data management, today announced the successful integration of NXP® Semiconductors’ eIQ® Auto machine learning (ML) software development kit (SDK) with the aicas EdgeSuite.

aicas’ Covesa Member Story features an insightful interview with Dr. James Hunt (CEO, CTO, aicas) and Johannes Biermann (COO, aicas) on how the Vehicle Signal Specification (VSS) has become a vital tool for data standardization within the software-defined vehicle movement.

CES 2026 highlighted that physical AI is ultimately a systems challenge. Intelligence in the physical world must behave predictably, recover gracefully, and evolve safely over time. This puts new demands on architecture, testing, validation, and operational governance.

At IIoT World Day 2025 on September 10, Johannes Biermann, President & COO of aicas, joined the panel discussion on building real-time data architectures for industrial AI. The session highlighted how edge AI can only create real impact when it delivers measurable business value—fast.

aicas announced the global launch of its new EdgeSuite. The aicas EdgeSuite is a modular, edge-to-cloud infrastructure designed to unify software, data, and AI model management.

Ein KI-Modell, das im Labor zuverlässig Objekte erkennt oder Fahrbahnzustände klassifiziert, ist noch kein serienreifes Fahrzeugsystem. Erst im realen Einsatz zeigt sich, ob ein Verfahren tragfähig ist. Ein strukturierter KI-DevOps-Ansatz am Edge hilft, diese Lücke zu schließen.

aicas, ein führender Anbieter von Embedded-Softwarelösungen und Echtzeit-Datenmanagement, gab heute die erfolgreiche Integration des NXP® eIQ® Auto Machine Learning (ML) Software Development Kits (SDK) mit der aicas EdgeSuite bekannt.

aicas, ein führender Anbieter von Embedded-Softwarelösungen und Echtzeit-Datenmanagement, gab heute die erfolgreiche Integration des NXP® eIQ® Auto Machine Learning (ML) Software Development Kits (SDK) mit der aicas EdgeSuite bekannt.
In their special issue “OEM Partners 2025” The German trade magazine Automobil Industrie covered aicas and the launch of the aicas EdgeSuite. Titled “Integrated Management of Software, Data, and AI,” the article presents EdgeSuite as a modular edge-to-cloud infrastructure.
In this article, you will learn, why raw machine data is rarely useful for AI on its own, how selecting and contextualizing the right data unlocks operational value, and what continuous edge-to-cloud cycles mean for long-term business outcomes.

How can AI models be deployed at the edge, kept up-to-date, and operated there? Johannes M. Biermann, President & COO of aicas, explains how it works and describes the solution the company offers.

Michael Reimann, leitender Product- und Solution-Architect bei der aicas GmbH, erklärte, wie sich sichere Updates von Embedded-KI so durchführen lassen, dass KI-Modelle, Geräte und Geschäftsmodelle zuverlässig geschützt sind.

aicas introduced Edge Data Gateway (EDG), a unified platform developed to streamline data management at the edge, giving industries the ability to organize what data is gathered and how and when it is communicated.
The more we embed AI into critical infrastructure, the more crucial secure updates become. Preventive measures are no longer optional. They are essential.