Specification data management platform for supply chain digitization
Specright builds a specification data management platform targeting supply chain operators in manufacturing, food & beverage, automotive, and related industries. The tech stack is heavily Salesforce-dependent (Apex, Lightning, Visualforce, SOQL) with a modern cloud backbone (AWS, Kubernetes, Terraform) and active investment in agentic AI and data integration tooling (adopting Jira, Productboard, Amplitude, Mixpanel). The engineering-led hiring profile combined with active projects around AI-powered supply chain decisions and seamless data integration suggests a shift from configuration-heavy Salesforce customization toward platform-native automation and real-time data flows.
Specright operates a specification data management platform that helps supply chain-dependent companies digitize, map, and act on product and material specifications across packaging, raw materials, formulas, and manufacturing processes. The platform targets mid-market operators in agriculture, automotive, cosmetics, food & beverage, medical, and FMCG/CPG sectors. Founded in 2014 and headquartered in Tustin, California, Specright is privately held with approximately 51–200 employees. The product is built on a Salesforce foundation (leveraging Apex, Lightning, SOQL) integrated with data orchestration tools (Boomi, Workato, MuleSoft) and cloud infrastructure (AWS, Kubernetes). Current priorities center on AI-powered decision support, data migration, and tighter integration between the platform and customer ERP/PLM systems.
Specright runs on Salesforce (Apex, Lightning, Visualforce), AWS infrastructure (EKS, RDS, Lambda, Kubernetes, Terraform), and data integration platforms (Boomi, Workato, MuleSoft). Frontend is React and Node.js; design tooling includes Figma, Sketch, Adobe XD.
Active projects include core platform feature development, agentic applications, AI-powered supply chain decision capabilities, data migration, specification data management implementation, and seamless data integration between the platform and customer systems.
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