DreamVu is an applied research company.
Founded January 2026. Building cameras since 2015. DreamVu captures real-world human data and delivers it as training data for physical AI, using a camera we designed, built, and own.
DreamVu began in 2015 inside the Centre for Visual Information Technology at IIIT Hyderabad. Prof. Anoop Namboodiri, his graduate student Rajat Aggarwal, and a fellow student set out to solve a problem the imaging industry considered impractical: capturing full 360° stereoscopic depth in a single shot, from a single sensor, with no seams or blind spots. Their answer was a new computational optics design, published at CVPR 2016 as Panoramic Stereo Videos with a Single Camera.
The company was founded later that year. Rajat and Anoop stayed on to build the technology. In 2018, IIIT Hyderabad, which owned the foundational IP, granted DreamVu an exclusive license in exchange for equity.
What followed was nearly a decade of camera engineering. PAL, our first-generation 360° stereo sensor, went from lab prototype in 2016 to production in 2019 and is covered by around 16 patents across optics, electronics, software, and calibration. Alia, our omnidirectional stereo camera, was prototyped in 2017, entered production in 2020, and is protected by around 14 more. DreamVu designed, built, and owns it.
In January 2026, Sashi Reddi joined as Chairman, and the four of us refounded the company as DreamVu.ai. The camera stopped being the product and became the instrument. We now use it to capture the real-world data that robot foundation models and world models train on.
We do not sell a catalog and we do not sell cameras. You bring us a data problem, we build a capture program around it, and we deliver in the format your training stack uses.
Founding team



Scientific advisors




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Tell us what your model needs to learn.
Capture programs, research collaboration, and dataset partnerships.