Flipside AI Information

As AI moves into the physical world, data quality becomes a safety and performance requirement. Flipside AI builds the Truth Layer for Physical AI. We develop production-grade datasets and verification pipelines that power autonomous vehicles, robotics, and spatial AI systems operating in real-world environments. Our teams combine human expertise and machine learning workflows to produce the ground truth used to train, evaluate, and validate next-generation AI systems. Flipside has supported large-scale datasets used in autonomous driving, robotics, and spatial intelligence systems deployed in real-world environments. Core capabilities • Vision-Language-Action (VLA) datasets for embodied AI • Robotics perception and manipulation datasets • Video and temporal scene understanding • Multi-modal perception datasets across cameras, LiDAR, RADAR, and sensor fusion Perception data annotation • 2D and 3D bounding boxes, polygons, lines, and keypoints • Semantic, instance, and panoptic segmentation • LiDAR, RADAR, and multi-sensor fusion annotation Teleoperation and human-in-the-loop operations • Teleoperation and remote piloting support • Human-in-the-loop monitoring and intervention workflows • Data capture and feedback for autonomy development Spatial and geospatial intelligence • Satellite and remote sensing data analysis • Environmental monitoring and spatial modeling • Contextual data layering for real-world AI systems Verification and evaluation • Ground-truth validation and dataset auditing • Multi-stage quality assurance pipelines • Model evaluation and benchmarking datasets Our work supports the development of autonomous driving systems, robotics platforms, geospatial intelligence tools, and next-generation embodied AI systems used by automotive OEMs, robotics companies, and technology leaders. Flipside AI provides the foundation for trusted data in real-world AI systems.