Physical AI

Build state-of-the-art Physical AI

Streamline sensor fusion AI data pipelines to accelerate perception, navigation, and manipulation capabilities for reliable operation in complex physical environments.

The future of physical AI is being built with Encord

Train and fine-tune Physical AI models with high quality data to improve navigation in complex environments

Vision Language Action (VLA)

Bridge natural language and robotic execution. Connect physical objects to language descriptions, powering foundation models that understand complex human commands.

Robot Vision

Powerful multimodal visual data support whether video, 3D, 6 DOF pose estimation, or other sensors to efficiently build products like warehouse AMRs, humanoid robots, quality inspection systems and more.

3D scene visualization for multimodal point cloud, video and sensor data

Master complex 3D scenes with all sensors unified on a timeline for ADAS, autonomous vehicles and drone use cases. From raw sensor data, point clouds from LiDAR, and multiple camera angles, you can manage, search, curate, label your data and test models with ease.

Accurately label and curate Physical AI data

Ingest and visualize sensor data

Automated quality checks and edge case detection. Efficiently filter, batch, and select precise data segments for specific annotation and training needs.

Annotate complex 3D, multi-sensor scenes

Cut annotation time with automated object tracking and single-shot labeling across scenes; and ensure consistent, precise labels across sensors that adapt as your requirements evolve.

Intelligent data curation and QC

Automated quality checks and edge case detection. Efficiently filter, batch, and select precise data segments for specific annotation and training needs.

Intuitive UI for RLHF and HITL review

Validate and correct model behaviour within a customizable multimodal interface. Set up flexible data workflows to ensure data quality at scale.

Automate any data task with Encord Agents

Integrate SOTA models or your own models directly into your data workflows to automate any data action such as reviews, pre-labeling, data classification, filtering and more.

Streamlined workflows and collaboration

Optimize operational efficiency by easily distributing tasks among annotators, tracking performance, assigning QA reviews, and ensuring compliance across projects.

Visualize and curate diverse datasets to handle the unpredictability of real-world environments

Curate millions of files using quality metrics

Explore videos temporally using embeddings-based quality metrics to find the most valuable data, including hard-to-find edge cases, for labeling and creating diverse datasets for model training and fine-tuning.

Reduce model bias with under-represented data

Explore billions of data points with granular filtering, sort, and search using quality metrics, custom metadata, natural language queries, and embedding plots.

Powering every Physical AI use case

Warehouse & Logistics

Build warehouse automation machines that adapt to complex environments, such as unpredictable human movement or dynamically changing shelf locations for inventory management and order fulfillment.

Healthcare

Label surgery and medical scenario data in granular detail to capture precise object pose estimation, orientation tracking, and force and tactile interaction to enable surgical robots to provide delicate tactile feedback in the operating theatre.

Intelligent Manufacturing

Set-up manufacturing robots to easily predict real-time environment changes, adapt motion plans dynamically, and manipulate objects precisely on the assembly line.

Agriculture Technology

Enable robots on the farm to inspect and monitor crop health, automate pruning and maintenance, weed management, produce handling, and more.

Construction

Equip construction robots to undertake Physical AI-powered automated material handling and placement, site inspection and monitoring, welding and joining operations, and more.

Autonomous Vehicles

Enhance the environmental understanding to enable autonomous cars, drones, and robots to navigate complex environments by easily detecting hazards while adjusting motion plans in real-time.

Nick Gillian

Founder & Head of AI
Archetype

“Encord brought together scalability, video-native annotation, clear label visibility, and the flexibility to support other modalities in a single, cohesive platform.”

Read case study

Encord releases new Physical AI suite