Encord

Encord builds a data-focused AI infrastructure platform intended to cover the full lifecycle of training data and model assurance: data management, curation, annotation, workforce management tooling, and model evaluation and observability. The company's stated aim is to help AI teams build reliable production models, on the premise that data quality is the critical factor determining whether AI systems succeed.

The product suite comprises three linked areas. Data management and curation tools handle dataset organisation and selection. Annotation and workforce management tooling supports the construction of training data at scale, including the management of labelling workforces. Model evaluation and observability tooling is designed to assess and monitor models so that they perform reliably, safely and as intended once deployed.

Technical domains covered include data alignment, data quality, and model observability alongside the core data infrastructure work. The company operates within AI/ML development and draws its investor base from Silicon Valley; it is backed by Y Combinator, Next47, CRV and other leading Silicon Valley investors. The founding team is composed of former quants, physicists and computer scientists, and the wider team includes engineers, go-to-market staff and operators with backgrounds at Meta, Microsoft, McKinsey, Goldman Sachs, Apple, Intel and J.P. Morgan.