Encord
FundedMultimodal data platform powering physical AI from training to deployment
About Encord
Encord provides a comprehensive data infrastructure platform designed specifically for physical AI systems, enabling enterprises to manage the entire data pipeline from collection and annotation to model alignment and deployment. The platform supports a wide range of data types including video, LiDAR, audio, text, sensor fusion, and geospatial data, addressing the unique challenges of real-world AI applications. Encord’s solution is built to ensure data quality before training, leveraging embedding-based curation, label quality assurance, and lineage tracking to prevent errors that could impact AI performance.
Targeted at enterprise organizations developing AI for robotics, autonomous vehicles, drones, and smart spaces, Encord integrates seamlessly into CI/CD workflows via API and SDK, facilitating automation and scalability. The platform also offers managed data services, providing access to expert annotators and domain specialists to support large-scale data collection and labeling efforts. By focusing on multimodal data and physical AI use cases, Encord helps CIOs bridge the gap between simulation and real-world AI deployment, reducing production failures caused by poor data quality.
Key Capabilities
- ✓Multimodal data support including video, LiDAR, and sensor fusion
- ✓Embedding-based data curation and label quality assurance
- ✓API and SDK for automating data pipelines and CI/CD integration
- ✓End-to-end annotation and labeling workflows with lineage tracking
- ✓Managed data services with expert annotators and domain specialists
Integrations
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