Encord

Encord operates a data infrastructure platform for building and running AI systems on multimodal data. The platform spans the data pipeline: managing, curating and annotating datasets; aligning and evaluating models; and feeding production feedback back into training. Annotation capabilities cover video, images, LiDAR, audio, text and sensor-fusion workflows within a single environment, with label lineage and quality controls intended for production-scale use. Curation tools include embedding-based search and model-in-the-loop review to surface rare edge cases and close gaps in data distribution, while alignment features support RLHF, rubric-based evaluation and pairwise comparison of models in production.

Alongside software, Encord offers data-as-a-service: access to vetted domain-expert annotators, domain specialists, and managed data collection carried out by in-field operators and at the company's teleoperation facilities, all integrated with the platform. The product is positioned as API/SDK-first with no data migration required, keeping customer data in the customer's own cloud, and the company maintains a trust center covering security and compliance posture.

Business model

Encord combines a software platform for AI data management, annotation, curation and evaluation with services-based offerings, including expert annotation workforces and managed data collection delivered through in-field operators and teleoperation facilities. Engagement with prospective customers is sales-led via demo requests [0].

Traction

The company states that more than 300 AI teams use the platform. In a published customer example, UiPath used Encord to annotate and manage image and text training data, reporting 10x dataset growth, a 4x reduction in error rate, and near 99% model accuracy for table extraction [0].