NomadicML Inc. has raised $8.4 million in seed funding to solve a major challenge in autonomous systems: managing and searching vast amounts of video data.
The round was led by TQ Ventures, with participation from Pear VC and angel investors including top executives from OpenAI Group PBC and Google LLC’s DeepMind.
Autonomous vehicles and robots generate terabytes of footage daily. Most of it remains unused due to the difficulty of manually reviewing and labeling such large datasets.
Nomadic’s visual data engine uses advanced computer vision to automatically catalog and index video content. Engineers can then retrieve specific clips using natural language queries in seconds rather than months.
Co-founder and CEO Mustafa Bal said many teams sit on unused data treasure troves. CTO Varun Krishnan described the system as an agentic reasoning tool that understands context within videos, enabling complex searches like interactions between robotic grippers and specific objects.
Funds will be used to scale operations amid rising demand from robotics and autonomous vehicle developers struggling with data overload.