Edge AI - Local artificial intelligence for lower costs and greater autonomy

Local artificial intelligence, also known as Edge AI, enables you to reduce costs, gain autonomy and maintain total control over your data.

Indeed, processing all data in the cloud is not always viable: latency, network dependency, costs and confidentiality issues can limit efficiency. Edge AI brings artificial intelligence closer to the source of the data, enabling a more efficient and effective use of data. fast, secure local analysisdirectly on site or on a connected device.

Modular architecture : to integrate naturally into existing IoT environments and systems, while remaining adaptable to future developments future.
Integration of optimized models : to run AI locally, even on limited resources, and guarantee reliable performance without permanent dependency on the cloud.
Real-time processing : to react instantly to events, sensors and interactions, even in low-connectivity environments.
Enhanced security : to protect sensitive data and endpoints with authentication, encryption and proactive monitoring.
Advanced optimization : to maximize performance while reducing footprint, thanks to quantization, pruning and adapted compilation (GGUF, ONNX).

Objective: bring local artificial intelligence where it's needed, in real time, while guaranteeing data sovereignty, operational resilience and economic efficiency.