Engineering-document intelligence
Turn drawings, PDFs, specifications, and technical data packages into structured requirements with traceable supporting evidence.
Bring drawings, specifications, parts, materials, hardware, software, suppliers, and factories into a connected Product DNA view that informs decisions across the network.

Product decisions travel far beyond engineering. A material substitution can change manufacturing capability, supplier qualification, origin, duty, quality, and delivery. Product & Engineering Intelligence is designed to preserve those relationships across the product lifecycle.
Designed to connect the working context, supporting evidence, and next action.
Turn drawings, PDFs, specifications, and technical data packages into structured requirements with traceable supporting evidence.
Normalize part identities and attributes; connect preferred parts, sourcing history, lifecycle status, obsolescence, and potential duplicates.
Connect engineering, manufacturing, hardware, and software bills of materials with materials, components, chemicals, firmware, and dependencies.
Evaluate equivalency and form-fit-function candidates against engineering, customer, manufacturing, and qualification constraints.
Trace revisions into sourcing, supplier approval, inventory, capacity, trade exposure, and customer commitments.
Bring software and firmware provenance, component dependencies, vulnerability context, and physical-product relationships into the same analysis.
Link certification, inspection, first-article and production-approval documentation, nonconformance, and corrective action to the product record.
Understand how supplier, material, software, regulatory, and geographic events affect assemblies and finished products.
Connect drawings, specifications, and source evidence.
Normalize parts and connect physical and digital composition.
Trace alternatives and changes across suppliers, factories, and trade.
Preserve evidence, technical approval, and downstream outcomes.
Analytics OS uses Product DNA to connect technical acceptability with availability, cost, risk, trade, capacity, quality, and customer consequences. Product intelligence stays within the working context.
A component approaches obsolescence. BANZOS connects potential substitutes with fit requirements, qualified factories, material provenance, lead time, and landed-cost scenarios so engineering and sourcing can evaluate the same decision.
Product DNA is the shared product model connecting assemblies, parts, materials, chemicals, hardware, firmware, software, suppliers, factories, quality, origin, cost, and risk.
No. Suggested alternatives must satisfy engineering, customer, quality, regulatory, and qualification requirements. The design preserves explicit approval and supporting evidence.
The architecture includes hardware and software bills of materials, firmware and software provenance, dependencies, and their relationship to physical products.
Bring your sourcing, supplier, manufacturing, and network priorities. Let’s map the right BANZOS starting point.