Encord, a leading data infrastructure company specializing in multimodal AI, today announced the launch of its Physical AI suite. Designed to support 3D, LiDAR, and point cloud data, this new platform aims to streamline the entire AI development lifecycle for robotics, autonomous vehicles, and drone teams—from raw sensor data management to model debugging.
Developing AI for physical systems presents unique challenges due to complex data types and fragmented workflows. Encord’s Physical AI suite addresses these issues by consolidating essential capabilities into a unified environment. This integration enables teams to accelerate the deployment of advanced autonomous technologies with higher quality data, richer insights, and improved operational efficiency—all while reducing costs. Key Features Include:
Scalable and Secure Data Ingestion: The platform allows teams to securely synchronize data from cloud storage directly into Encord. It efficiently manages large, continuous streams of raw sensor data such as LiDAR point clouds, camera imagery, telemetry, and widely used industry file formats like MCAP.
Data Curation and Quality Control: Automated tools facilitate rigorous data quality checks and intelligent curation. This helps teams pinpoint critical edge cases and organize data for optimal model training by filtering, batching, and selecting precise segments for annotation and training.
AI-Assisted Data Labeling: The suite offers advanced AI-assisted labeling capabilities, including automated object tracking and single-shot labeling across multiple scenes. It supports diverse annotation types and maintains high-precision labels across various sensor modalities—even as annotation needs evolve over time.
AI Model Evaluation and Debugging: Developers can evaluate model predictions against ground truth data, identify failure modes, and trace specific inputs causing unexpected outcomes. This feature reduces iteration cycles by enabling rapid issue diagnosis, model refinement, and accuracy improvements critical for fail-safe applications.
Workflow Management and Collaboration: Built for large-scale operations, the platform includes comprehensive workflow management tools. Project administrators can assign tasks to annotators, monitor performance, manage quality assurance reviews, and ensure compliance across projects.
With the Physical AI suite, Encord offers a powerful, end-to-end platform to help AI teams overcome the complexities of multimodal data, accelerating innovation in autonomous systems and robotics.
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