Isahit provides human-in-the-loop services to help teams build reliable Physical AI systems, from dataset creation to model evaluation and continuous improvement.
Bounding boxes, segmentation, object tracking, action recognition, scene labelling and spatial understanding for complex visual environments.
Creation and enrichment of datasets based on predefined physical scenarios, including specific actions, environments, edge cases and expected behaviours.
Human review of model outputs, robot actions, autonomous decisions or simulated behaviours to assess accuracy, safety and relevance.
Multi-level review workflows, consensus mechanisms and expert validation to ensure high-quality datasets and reliable model feedback.
Annotation and evaluation of physical scenes, video sequences and synthetic or real-world data used to train world models and embodied AI systems.
Feedback collection, error analysis and iterative data enrichment to improve Physical AI systems after deployment or during testing phases.
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