Orom AI careers

Orom AI is building a real-time spatial perception layer for Physical AI. Our models help robots, drones, and other camera-equipped systems understand where they are, what is around them, and how real-world environments are structured. We solve the most generalizable version of the perception problem as a baseline: monocular and edge-first, with no strict dependence on LiDAR, expensive sensor stacks, or cloud dependence. We fuse additional sensor inputs when a specific use case calls for it within the same methodology, improving robustness and accuracy depending on deployment fit.

We are building a truly novel perception stack by combining the power of compact neural networks with geometric grounding from classical optimization techniques. The neural modules learn strong 3D priors, while proven numerical solvers keep the results precise, stable, and interpretable. Our output is transformer-native and can be readily consumed as the context layer for downstream models including VLAs, VLMs and LLMs.

The foundational technology has been built and we are in the early stages of commercialization. Our monocular neural SLAM engine runs in real time on commodity hardware with either CPU or GPU and a small memory footprint, achieving strong localization accuracy on difficult sequences, substantially outperforming established classical and learned baselines. We have proved that our core technology is accurate and fast enough to help physical AI agents understand the world in production settings, and we are executing our first real-world deployments.