AI-driven platform for on-demand, zero-waste apparel manufacturing
Resonance converts fashion designs into manufacturable specifications to enable made-to-order production across global factories. The stack (React, GraphQL, Snowflake, AWS) reflects a web-first, data-heavy architecture; active projects center on user retention, personalized content, and operational diagnostics—suggesting friction in onboarding and activation remains a constraint despite the core manufacturing tech working. Pain points list legacy factory digitization and ELT pipeline scaling, indicating the company is still bridging analog supply chains into a software-native platform.
Resonance builds a platform converting apparel design ideas into production-ready code, enabling factories worldwide to manufacture custom orders at any volume without overproduction waste. Founded in 2017 and headquartered in New York, the company operates as a privately held firm with 11–50 employees across engineering, data, manufacturing, and marketing functions. The platform targets fashion brands and eCommerce operators seeking on-demand manufacturing capabilities; internally, the team is tackling data infrastructure scaling and the digitization of legacy, manual factory processes.
Frontend: React, JavaScript, HTML, CSS with Webpack and Storybook. Backend/data: GraphQL, Snowflake, AWS. Workflow automation: Zapier, Airtable, Klaviyo. The stack also includes RAG capabilities.
User retention experiments, personalized content generation, design onboarding protocols, feedback-rich execution layers, and data infrastructure scaling. Recent focus includes ELT pipeline development and operational friction diagnostics.
Currently hiring in the United States. Active roles span engineering (3), data (1), manufacturing (1), and marketing (1), with seniority levels from mid to director.
Other companies in the same industry, closest in size