Our Services

We help companies move AI from the cloud to the edge, building systems that run reliably on real hardware.

Edge AI Solutions

We design, train, and deploy optimized neural networks on resource-constrained hardware, enabling real-time inference where cloud connectivity is not viable.

What We Deliver

Custom model design & training for your use case
Model optimization, quantization & TensorRT acceleration
NVIDIA Jetson & embedded GPU deployment
Multi-stream video analytics pipelines
Performance benchmarking & latency optimization

Computer Vision Systems

Full vision pipelines covering data collection, annotation, model training, and deployment. Detection, classification, and activity recognition running in real time.

What We Deliver

Object detection & classification systems
Activity & action recognition pipelines
Real-time multi-camera video processing
Data annotation pipeline setup & management
Production-ready C++ vision applications

Embedded Systems Engineering

Reliable software for constrained platforms. We develop embedded Linux applications, firmware, and hardware-software integrations for industrial and IoT environments.

What We Deliver

Embedded Linux & Yocto BSP development
Bare-metal & RTOS firmware engineering
Industrial protocol integration (CAN, J1939)
IoT device firmware & connectivity
Cross-compilation & toolchain configuration

MLOps & Deployment Infrastructure

The infrastructure that takes models from notebooks to production: CI/CD pipelines, containerized deployments, and automated workflows for edge ML.

What We Deliver

End-to-end ML pipeline design & automation
Model versioning, testing & validation workflows
Docker containerization for ML workloads
CI/CD for edge device deployment
Cross-compilation for ARM & embedded targets

Have a project that could use edge AI or embedded systems?

Let's Talk