Edge artificial intelligence Offering
Embien, for the past few years, has been in the forefront of the Edge AI revolution. Backed by sound knowledge in embedded systems, our AI designs are highly optimized and efficient. Our customers include industry leaders in automotive, industrial, medical and consumer electronics. Our engineers have developed the capability to run even the complex algorithms on resource limited systems and manage them remotely. Our team is knowledgeable of AI/ML models and uses the right tools and technologies to provide the best possible output.
Our team can also design custom hardware capable of running AI on the edge as per the customer business requirements. The designs can incorporate advanced GPU architectures and neural processors along with necessary memory modules to accelerate algorithm execution. We have even developed FPGA based solutions and FPGA accelerated design to take advantage of parallel processing performance on the Edge artificial intelligence systems.
Why Embien for Edge AI Development?
Real Time Decisions
Our models are optimized for low-latency and high performance to enable faster processing and decision making
Optimized for Embedded
Get the right embedded ai hardware platform in place and run the right algorithms fine-tuned for the edge
Domain Expertise
Leverage our domain knowledge spanning few decades in all major industries to choose the optimal solution
Ready to use models
With our vast library of hundreds of pre-trained models, quick start your artificial intelligence transformation
Embedded AI Systems
Embien has been enabling Edge AI Development with all the leading silicon vendors such as Nvidia, Renesas, NXP, Qualcomm and TI. Our team has also developed advanced Edge AI solutions on FPGAs from Intel and Xilinx. In all these cases, the implementation is fine tuned to take advantage of the features provided by the underlying platform.
Some use cases we have demonstrated include.
- Sensor Fusion for IoT Edge device
- Predictive maintenance of industrial systems
- Driver Monitoring System
- Automotive Driver Rating system
We have specially developed skills for CUDA programming to accelerate embedded AI performance on NVIDIA systems. We can also port Python algorithms to C++/CUDA code based to help optimize them and increase security.