Encord builds data infrastructure and tooling for AI and machine learning teams. Its platform covers the full data development lifecycle: managing and curating datasets, annotating data at scale with workforce management features, and evaluating models in production for reliability and correct behaviour. The company positions data quality as the central variable in whether AI systems perform as intended.
The platform is designed for multimodal AI workflows, supporting teams that need to move from raw data to production-ready models. Core capabilities include:
- Data management and curation – tools for organising, filtering, and maintaining the datasets used to train and validate models
- Annotation and workforce management – labeling infrastructure and tooling to coordinate annotation work at scale
- Model evaluation and observability – capabilities for assessing model behaviour both during development and in production
Encord was founded by former quantitative analysts, physicists, and computer scientists, and its team includes engineers and operators who have worked at Meta, Microsoft, Apple, Intel, Goldman Sachs, McKinsey, and J.P. Morgan. The company is backed by Y Combinator, Next47, and CRV, among others.
