Embien empowers you to move beyond the cloud. We specialize in developing high-performance, power-efficient Edge AI solutions that bring real-time decision-making directly to your devices.
From model optimization to custom hardware acceleration, we engineer intelligent systems that are ready for the real world.
We take your complex AI/ML models (Python, etc.) and optimize them for resource-constrained environments. Using techniques like quantization, pruning, and knowledge distillation, we create small-footprint, high-performance models. We specialize in porting algorithms to C++/CUDA for maximum speed and security.
Our team designs custom hardware to run your AI workloads efficiently. We leverage advanced GPUs (NVIDIA), NPUs, and FPGAs (Xilinx, Intel) to create dedicated accelerators that deliver unparalleled performance-per-watt for your specific application.
We build the foundational software that makes Edge AI possible. This includes developing custom Board Support Packages (BSPs), device drivers, and integrating AI inference engines (TensorFlow Lite, ONNX Runtime, TensorRT) directly into the firmware for seamless operation.
We provide a complete, end-to-end service. From selecting the right sensors and hardware platform to developing the optimized AI model and deploying the final, field-ready product, we manage the entire lifecycle of your Edge AI system.
Our proven methodology ensures that even the most demanding AI algorithms can run efficiently on embedded hardware.
We start by understanding your application's requirements and selecting the optimal AI model architecture and hardware platform (MCU, MPU, SoC) to achieve the right balance of performance, power, and cost.
The selected model undergoes a rigorous optimization process. We use a suite of tools to prune unnecessary connections, quantize weights to lower precision (e.g., INT8), and re-architect layers for maximum efficiency without significant accuracy loss.
The optimized model is compiled using hardware-specific toolchains like NVIDIA TensorRT, NXP eIQ, or Xilinx Vitis AI. This step translates the model into highly efficient machine code that takes full advantage of the target processor's unique architecture.
The compiled model is deployed onto the target device. We perform extensive validation to ensure real-world performance and accuracy. We can also implement Over-the-Air (OTA) update mechanisms to manage and improve your AI models in the field.
We fine-tune your algorithms and leverage hardware acceleration to achieve the lowest latency and highest throughput possible.
Our deep understanding of embedded hardware allows us to design solutions that deliver powerful AI performance within tight power budgets.
By processing data on-device, our solutions minimize data exposure, ensuring greater security and compliance with privacy regulations.
We combine decades of embedded systems knowledge with cutting-edge AI capabilities, providing you with a reliable and experienced partner.
Challenge: A leading fleet management company required a robust telematics solution to monitor vehicle performance and driver behaviour in real-time.
Solution: Embien developed a custom telematics unit with 4G connectivity, GPS tracking, and CAN bus integration, paired with a cloud-based analytics platform.
Results:
Twenty-three percent reduction in maintenance costs
Seventeen percent improvement in fuel efficiency
Deployment across 2,500+ vehicles
Learn how Embien engineered it in 3 months
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The future is intelligent, and it's happening at the edge. Partner with Embien to embed cutting-edge AI capabilities directly into your products
