Software-hardware system for additive manufacturing and assembly automation
Divergent operates an integrated production platform (DAPS) combining additive manufacturing, design optimization, and automated assembly for automotive and aerospace. The tech stack is heavily weighted toward manufacturing execution—Siemens NX, MES, PLC control (Structured Text, SCADA, HMI)—paired with enterprise software (Oracle Fusion, Teamcenter PLM) and web-tier tooling (Node.js, React, TypeScript). Active hiring is engineering-dominated (26 roles) with substantial manufacturing operations (18 roles), reflecting a company in the middle of scaling production footprint and connecting factory floor telemetry to the software layer.
Divergent builds an end-to-end production system that combines software and hardware to automate the design, manufacturing, and assembly of complex structures. The platform targets automotive, aerospace, and defense customers seeking to reduce material waste, lower upfront capital costs, and compress production cycles. Based in Torrance, California with 201–500 employees, the company is actively implementing Oracle Fusion Cloud for financial operations and running concurrent projects across machining work centers, additive manufacturing simulation, design-for-manufacturability workflows, and first-article inspection. Current focus areas include cycle-time reduction, scrap minimization, and scaling capabilities to meet customer program demands.
The Divergent Adaptive Production System (DAPS) — an end-to-end software-hardware system for designing, additively manufacturing, and automatically assembling complex structures.
Manufacturing control (Siemens NX, MES, SCADA, Structured Text, HMI), PLM (Teamcenter, Tecnomatix), enterprise software (Oracle Fusion Cloud, Oracle Cloud Financials), and web development (Node.js, React, TypeScript, Angular, Vue).
Divergent'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.