Intigia is a design company specialized in IP cores and SoC design for safety critical applications
Our IP cores are written in human readable HDL code and vendor independent
Intigia’s engineering team develops vendor independent deep learning and machine learning accelerators to speed up the execution of Recurrent Neural Networks (RNN) in small factors electronic boards.
Initigia research in Edge AI and TinyML is focused on developing hardware accelerators capable of real time processing with low power on SoCs. Intigia is also actively researching in functional safety applied to machine learning algorithms executed on FPGAs and SoCs.
Our designs have been successfully tested on field on drones and other applications.
Our portolio includes:
- Recurrent Neural Network hardware accelerators
- Device drivers
Predictive maintenance.
Industrial IoT and Industry 4.0
Our IP cores are vendor independent. We have tested them on Xilinx devices Zynq 7 and Zynq Ultrascale.
Our development methodology is designed to minimize pitfalls and risks early in the project, based on automated quality assurance processes. Ask us about compliance with safety critical standards (DO-254, ISO 26262, ESCC).
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