← All projects

Encord

The data layer behind the world's leading physical AI systems

AI Toolsdata-annotationmachine-learningcomputer-visionmultimodallidarphysical-aidata-pipeline
Encord screenshot

About

Encord is a multimodal data platform designed for physical AI teams to manage, curate, annotate, and align large-scale datasets including video, LiDAR, audio, and sensor fusion data. It provides end-to-end data pipeline tooling—from embedding-based curation and label QA to RLHF and model alignment—all within a single platform. Trusted by 300+ AI teams, it targets use cases such as autonomous vehicles, robotics, drones, and smart spaces.

Problem

Low-quality, poorly curated training data slows down or breaks AI model development for physical systems.

For

AI/ML engineers and data teams building physical AI systems

How it works

Teams ingest multimodal data (video, LiDAR, sensor streams, etc.), use embedding-based search and QA tools to curate and annotate it, then run alignment workflows like RLHF and pairwise evaluation—all through one integrated platform with API/SDK access.

Business model

unknown

Status

launched

Company

Encord

Similar projects