Tobii is an embedded systems company built around computer vision and attention sensing. The stack reveals a classic hardware-software split: DSP, GPU, and low-level protocols (RS-232, I2C) sit alongside Python, PyTorch, and TensorFlow for ML inference. Active projects show a sharp pivot toward automotive (in-cabin sensing, embedded image processing, vehicle integration) and production-scale ML, while pain points signal the strain of that transition—scaling datasets, deploying edge AI, yield improvement, and cost efficiency all point to a company moving from research/gaming applications into high-volume manufacturing and customer platform integration.
Notable leadership hires: Chief Financial Officer
Tobii develops eye-tracking hardware and attention-computing software across automotive, gaming, extended reality, research, and healthcare. The company operates a two-tier product architecture: specialized sensors and embedded software for vehicle integration and consumer devices, paired with cloud applications for analysis and customer integration. With 20+ years in the space and a global footprint across Asia, Europe, and North America, Tobii serves thousands of companies, universities, and research institutions. As a Nasdaq-listed public company, profitability and scale are explicit priorities alongside continued product innovation.
Python, C, and C++ dominate the stack, with PyTorch and TensorFlow for ML. Low-level protocols like RS-232 and I2C handle embedded sensor communication. Hardware design uses Zemax OpticStudio, SolidWorks, and Blender.
Automotive applications dominate current projects: in-cabin sensing ML models, embedded image processing, and customer vehicle integration. Also active: next-gen eye tracker prototypes, cloud AI applications, and companion software for consumer glasses.
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