Teams at Senstar

Develops tools and workflows for machine learning data collection, annotation, dataset versioning, training, evaluation, testing, optimization, and deployment on embedded edge platforms. Builds Python and C++ tools, supports model optimization for Texas Instruments hardware, and analyzes inference performance, latency, memory, accelerator utilization, and accuracy. Collaborates with ML researchers and technical teams to create reproducible, automated, and reliable ML development processes.