Artificial intelligence directly on your equipment, without cloud
AI doesn't have to live only in the cloud. For industrial applications requiring ultra-low latency, data privacy or intermittent connectivity, inference must happen locally, on the device. Wikolabs deploys AI models optimized to run directly on Raspberry Pi, NVIDIA Jetson, STM32 or your proprietary equipment · with zero network dependency.
Cloud inference involves 100–500ms latency incompatible with real-time applications. Cloud infrastructure costs accumulate at scale. Sensitive data (production images, health data) can't transit through the cloud. And without permanent network connectivity, cloud applications are fragile.
We optimize your AI models (INT8 quantization, pruning, distillation) to fit the memory and CPU constraints of edge devices. The model is then converted to TFLite, ONNX or TensorRT, integrated into a C++/Python firmware and deployed on your equipment. Performance is validated on real hardware before delivery.
Analysis of your constraints (power, consumption, cost, form factor) and optimal hardware selection: Raspberry Pi, Jetson Nano, Coral TPU, STM32.
Quantization (INT8/FP16), pruning, knowledge distillation to reduce size and accelerate inference while maintaining accuracy.
Inference pipeline development in C++ or Python. Integration with inputs (camera, sensors) and outputs (GPIO, display, network).
Performance testing on real hardware (latency, consumption, accuracy). Over-the-air (OTA) deployment for updates.
Local inference eliminates network latency. Decisions are made in real time · essential for control and safety applications.
Once deployed on the device, each inference is free. For millions of inferences per day, the savings are considerable.
No data leaves the device. Simplified GDPR compliance for applications processing sensitive data (health, industry, defense).
Free 30-minute audit. We analyze your context and deliver a concrete roadmap.