DreamVu is an applied research company.
Founded January 2026. Building cameras since 2015. DreamVu captures the physical world in 3D — using a camera we designed, built, and own — and delivers it as world model data, robot training data, and simulation environments for physical AI.
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 capture 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.
We spent the next decade on camera engineering. PAL, our first-generation 360° stereo sensor, went from lab prototype in 2016 to production in 2019. Alia, our second-generation omnidirectional stereo camera, was prototyped in 2017 and entered production in 2020. Alia’s optical design is DreamVu’s own, patented and granted in multiple countries. 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. We now use the camera to capture the data that robot foundation models and world models train on.
The camera is the IP, and we do not sell it. You bring us a data problem, and we either license what we already hold or build a capture program around it. We deliver in the format your training stack uses.
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Tell us what your model needs to learn.
Capture programs, research collaboration, and dataset partnerships.