Zaelab advises mid-market B2B organizations on digital transformation, with a heavy concentration in Salesforce (Apex, Lightning, SOQL) and modern e-commerce stack (Shopify, commercetools, BigCommerce). Their active project mix—quote-to-cash, ServiceNow order management, ERP integrations—paired with recurring pain around scaling revenue processes and project economics, suggests they're building repeatable accelerators and templates to commoditize complex implementations. Engineering-dominant hiring across distributed European and Latin American offices indicates infrastructure built for scalable delivery.
Zaelab is a digital implementation partner based in Westport, Connecticut, founded in 2010, serving B2B enterprises with 201–500 employees internally. The firm specializes in Salesforce ecosystem work (CPQ, order management, custom development) and modern commerce platform deployments (Shopify, commercetools). Core offerings include customer experience design, platform delivery, solutions architecture, and managed services. Current project focus spans e-commerce system integrations, quote-to-cash automation, and order management solutions, with active work on internal accelerators to improve delivery velocity and project profitability. Operations and engineering dominate the headcount, with distributed hiring across 16 countries.
Zaelab's primary stack includes Salesforce (Apex, Lightning Web Components, SOQL), JavaScript/TypeScript, React/Angular, Shopify, commercetools, MuleSoft, ServiceNow, SAP, and Google Analytics. No major tech replacements are underway; focus remains on deepening existing platform capabilities.
Active projects include Salesforce quote-to-cash implementations, ServiceNow order management solutions, e-commerce platform integrations (Shopify, commercetools, BigCommerce), custom product configurators, ERP system integrations, and internal order management accelerators to improve delivery efficiency.
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Zaelab'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.