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07

Jul

2026

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.

27

Feb

2026

aicas EdgeSuite Now Supports NXP eIQ® Auto SDK, Unifying Automotive AI Workflow

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.

13

Feb

2026

Covesa Member Story: aicas on the Future of Automotive Data and VSS Collaboration

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.

16

Jan

2026

CES 2026: From Physical AI Hype to Execution in Automotive and Industry

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.

10

Sep

2025

IIoT World Day 2025 – Building Realtime Data Architectures for Industrial AI

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.

08

Sep

2025

aicas Launches new EdgeSuite for Seamless Management of Software, Data, and AI Across Edge and Cloud

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.

aicas in the News

Vom Prototyp in die Serie: KI-Workflows im Fahrzeug

June 20, 2026

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 EdgeSuite unterstützt ab sofort NXP eIQ® Auto SDK und vereinheitlicht KI-Workflows im Automotive-Bereich

March 5, 2026

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 EdgeSuite unterstützt ab sofort NXP eIQ® Auto SDK und vereinheitlicht KI-Workflows im Automotive-Bereich

March 5, 2026

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.

Integriertes Management von Software, Daten und KI

November 6, 2025

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.

Transforming Edge Data Into Real Business Value

October 30, 2025

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.

We Provide the Software Environment for Edge AI

October 22, 2025

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.

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