Encord builds data infrastructure for artificial intelligence teams, offering an end-to-end platform that covers data management and curation, annotation and workforce management, and model evaluation and observability. Its central proposition is that data quality is the decisive factor in whether AI systems succeed in production - and that most teams lack the tooling to address it at scale.
The platform is designed to serve the full data development lifecycle for multimodal AI. Teams can manage and curate training datasets, run annotation operations with workforce management features, and evaluate model behaviour to ensure reliability and safety before and after deployment. The suite is intended to give AI engineers and operators a single, coherent infrastructure layer rather than a patchwork of disconnected tools.
Encord was founded by former quantitative analysts, physicists, and computer scientists, and its team includes engineers and operators with backgrounds at Meta, Microsoft, Apple, Intel, Goldman Sachs, J.P. Morgan, and McKinsey. The company is backed by Y Combinator, Next47, and CRV.