Sustainability data platform for consumer goods supply chains
Worldly operates a sustainability analytics platform serving the consumer goods industry, with a tech stack centered on Angular + TypeScript + Java/.NET backend, deployed on AWS ECS/EKS, and powered by MongoDB/PostgreSQL/OpenSearch. The hiring profile is heavily weighted toward engineering (45 of 48 active roles, nearly all senior-level) distributed across 16 countries, with active DevOps infrastructure work and large-scale front-end expansion—indicating rapid scaling of both product delivery and operational footprint rather than exploratory early-stage work.
Worldly provides a sustainability data and analytics platform for brands, retailers, and manufacturers in apparel, footwear, home furnishings, and sporting goods. The platform aggregates environmental and social impact data—carbon, water, chemicals, labor—at product, facility, and value-chain levels, built on industry standards including Cascale's Higg Index tools. Founded in 2019 and based in Concord, California, the company operates with 51–200 employees and serves over 40,000 companies. Current internal priorities include migrating DevOps to hybrid infrastructure, scaling legal operations to handle M&A activity and complex contracts, and automating content creation and translation workflows across 8 languages.
Frontend: Angular, TypeScript, HTML5, JavaScript, NgRx, RxJS. Backend: Node.js, Java, .NET, Express.js. Infrastructure: AWS (ECS, EKS), Terraform, Jenkins. Databases: PostgreSQL, MongoDB, CouchDB, OpenSearch, MySQL. Monitoring: Datadog, CloudWatch. Build tools: Webpack, Gulp, Grunt.
Concord, California, United States. The company was founded in 2019 and is privately held with 51–200 employees.
Worldly's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.