We are a multidisciplinary team of computer vision scientists, robotics engineers, and spatial analysts dedicated to bridging the physical world with real-time measurable understanding.
The core architects driving the Phase 2 spatial engine pipeline.
Specializes in sub-pixel spatial calibration, real-time object tracking, and efficient ONNX inference pipelines for edge hardware.
Leads multi-stream camera ingestion and movement prediction models. Passionate about low-latency telemetry processing.
Architects warehouse intelligence dashboards, automated reporting metrics, and secure enterprise integration endpoints.
Bridges complex computer vision research with intuitive user workflows, ensuring maximum usability across logistics and factories.
Focuses on quantization, model pruning, and ensuring robust inference speeds across GPU clusters and edge micro-nodes.
Guiding theoretical foundations in spatial geometry and sensor fusion.
Specialist in spatial topology and automated calibration algorithms for multi-camera arrays.
Pioneering work in real-time depth estimation and vector trajectory prediction for moving agents.
Advises on automated warehouse throughput optimization and factory safety compliance.
We are always looking for exceptional researchers, computer vision engineers, and developers passionate about turning camera streams into measurable understanding.