Beyond core IoT development, we also support advanced use cases:

• Centralized model support – When needed, we coordinate cloud or on-premise evaluation and training of third-party or open-source models for anomaly detection, energy optimization and condition monitoring, using governed, ML-ready datasets and customer approvals.
• Edge AI integration – We package and deploy pre-trained partner models to supported edge devices with offline fallbacks and rule/threshold-based logic, ensuring critical functions do not rely on constant connectivity and non-ML options remain available.