At SQUAD, our team applies its skills to run innovative Deep Learning architecture on Edge chips with complex restrictions on computational power and memory.
We have vast expertise in deploying algorithms on a broad range of environments: starting from a single-core ARM chip and tens of kilobytes of memory, to modern chipsets with several gigabytes of RAM and TPU accelerators. We use C++ (14/17), Python, Linux, IPC and STL.


Our Research team at SQUAD swiftly develops new features that we test on the Cloud to help create the future of IoT.
Similar to Edge, we have broad expertise in deploying Cloud solutions that run efficiently on both CPU and GPU machines with a wide range of processing costs: starting from tens of nano-cents, to several dollars per clip using Python, AWS, KubeFlow, OpenVino, and more.