ObliviqLabs
Synthetic data engine for autonomous robotics AI.
The founders
SP
The company
ObliviqLabs builds a synthetic data engine for training, validating and deploying robot AI in simulation. It generates millions of training scenarios with automatic domain randomisation, and its pipeline runs from LiDAR or RGB-D scans to generated 3D assets with physically accurate materials.
Training and testing in simulation lets developers check robot AI against a wide range of use cases and edge conditions before it reaches a factory floor, warehouse or street.
ObliviqLabs is based in Jabalpur, India, and was founded in 2026. It covers industrial manipulation, mobile robots, legged locomotion and vision-based control, and offers demonstrations to robotics companies.
Founder Saurabh Patil studied at the Indian Institute of Technology, Madras, and previously worked at SpringtownAI LLC.
Who else is building in this space
Companies working on the same thing, at every stage.
Physics-based synthetic data generation platform for the perception training of robotics, autonomous & smart systems
Generative AI synthetic data cloud for vision AI
Physical AI company building human-guided inspection workflows and robotics data for data centers.
Synthetic humans and computer vision for robotics.
Speech and language datasets for African languages.
Medical AI research lab building RL environments and outcome-graded clinical data
Thousands more founded every month.
Dealroom tracks new companies as they appear — founders, funding and signals, over the API or in the platform.
