New Software Error-Proofs Assembly, Monitors Production

Originally published in ASSEMBLY

AI Analyzes Manufacturing Data

CADDi analyzes and connects manufacturing data fragmented across departments, locations, and systems, turning it into an enterprise asset. The software ingests diverse manufacturing data regardless of system or format, interprets it using proprietary analysis technology, and transforms it into AI-ready data.

The software gives meaning to and connects data distributed across the value chain within each company's unique business context. The result is a "data map" that enables AI to understand relationships and trace both the information it needs and the evidence behind it.

The software consists of several modules.

CADDi Explorer is a data discovery platform that searches across information distributed throughout the enterprise. It connects related data across time, functions, and locations so users can quickly reach the knowledge and evidence they need and uncover insights. Granular access controls enable governed data use, giving everyone, from executives to frontline teams, secure access to the right information.

CADDi Agent is an autonomous AI agent that analyzes manufacturing data and supports decisions using internal information and your company's own experience and decision criteria. It autonomously handles real-world tasks, such as part standardization, cost reduction, and quality-impact analysis, then supports the actions required, all while enforcing permissions by location, subsidiary, and contract.

CADDi Composer is a design reuse simulator that identifies the best baseline product and configuration from similar past designs. It then assesses the quality, cost, and delivery risks introduced by each change. The rationale behind selections and changes is automatically captured as design intent and reused in future designs. Faster, repeatable decisions reduce rework and lost opportunities.

CADDi ALM turns equipment specifications, inspection records, repair histories, and operational knowledge into reusable assets. When equipment fails, AI uses similar past cases to suggest likely causes and corrective actions, accelerating recovery. Accumulated data can also inform equipment modifications and generate checklists for future equipment designs. Production, maintenance, and manufacturing engineering teams share the same knowledge to minimize downtime and continuously improve equipment.

CADDi Process Review is a production readiness control tower that generates an initial PFMEA draft from product drawings, process data, and similar past products. Once engineers review and complete the PFMEA, AI identifies inconsistencies across control plans, quality control process sheets, work instructions, and other related documents. After revisions, consistency is automatically rechecked, while review, revision, and approval history improves future PFMEAs and decisions.

CADDi Design Review centralizes cross-functional reviews directly on drawings, CAD models, and schematics. AI-assisted checks and complete tracking of comments, revisions, and approvals reduce missed issues and rework. Review insights are standardized into criteria and reused in future reviews.

CADDi Cost Review brings together historical purchases, quotes, similar items, and cost breakdowns to provide the evidence needed to assess price reasonableness. It adjusts for factors such as exchange rates and material costs and structures cost details and process data from different formats for comparison. Buyers can identify the drivers behind price differences and cost premiums, while the evidence and decision history are captured for future reviews and negotiations.

CADDi Quote centralizes the RFQ process, from supplier selection and request distribution to response collection, comparison, and award. AI recommends suppliers based on purchase history, similar drawings, and quality and delivery performance. Quotes, lead times, and terms are normalized for side-by-side comparison, while communications and award rationale are captured to improve future sourcing.

Source: ASSEMBLY, "New Software Error-Proofs Assembly, Monitors Production" by John Sprovieri, October 2, 2026. https://www.assemblymag.com/articles/100477-new-software-error-proofs-assembly-monitors-production