Solution provides seamless management of software, data and AI across edge and cloud  

aicas has announced the global launch of its new EdgeSuite. The solution is a modular, edge-to-cloud infrastructure designed to unify software, data, and AI model management. With the solution, companies can accelerate development, scale AI solutions from pilots to global rollouts, and continuously improve system performance while maintaining full control of their edge operations.

"Edge AI is more than deployment; it's about continuous improvement," said Dr James J. Hunt, aicas' co-founder, CEO, and CTO. "With the EdgeSuite, we provide organisations with the infrastructure to observe, build, deploy, use, and improve their edge and edge AI applications in one seamless loop. This is how you shorten development cycles, reduce cost, and scale innovation without disruption."

The solution is built on nearly 25 years of embedded expertise, engineered for flexibility, reliability, and real-time performance. It thrives where other platforms struggle: with mobile, remote, or mission-critical devices. Whether on factory floors, in fast-moving fleets, or across industrial infrastructure, EdgeSuite ensures reliable OTA updates, secure data access, and continuous improvement, even in low-connectivity environments.

EdgeSuite empowers organisations to establish AI directly in their existing edge systems, accelerating every stage of the AI lifecycle. From data-driven training and deployment to continuous model improvement, EdgeSuite enables teams to move rapidly from pilot projects to production-ready solutions.

• Observe: Collect and select exactly the operational data and edge AI insights that matter.
• Build: Design, develop, train, and test models for your edge AI applications.
• Deploy: Seamlessly distribute applications and models to remote devices.
• Use: Operate AI in your environment and learn from operational edge data.
• Improve: Retrain, optimise, and redeploy to drive ongoing performance gains.

With the aicas EdgeSuite, companies in manufacturing, energy, and a wide range of mobility markets can speed up time-to-market, lower operational complexity and cost, and generate new revenue streams through data-driven services. Use case examples include the following:

• Rail inspection with real-time fault detection and predictive maintenance
• Wind farm optimisation through turbine alignment based on live flow conditions
• Transformer monitoring for resilient energy grids
• Automotive insurance with instant crash data capture and claims acceleration

The aicas EdgeSuite empowers cross-functional teams with granular rights management, no-code options, and a unified cloud portal. The result is faster innovation, lower costs, and trusted scalability from prototypes to production fleets.