From engineering to the shop floor: CAD + QIF + DMIS with measurements captured automatically
IVR 5.0 AI connects product definition, measurement intent, and inspection execution to produce reliable data — no manual typing, no transcription, full traceability . Faster decisions for SPC , APQP , and audits , with a real reduction in human-error risk and rework between engineering, metrology, and production.
Built for Quality and Engineering professionals: standardization, evidence, and repeatability across the measurement chain.
A technical flow that removes noise and rework
One continuous line: definition → structuring → execution → evidence → action.
Measurement systems fail more often due to process noise than sensors: inconsistent interpretation, manual transcription, and non-standard strategies. IVR makes the chain explicit and repeatable.
- Fewer loops between drawing, metrology, and reporting.
- More trust in data for faster decisions (SPC and audits).
- A stronger foundation for APQP and lessons learned across projects.
What you get in practice (without relying on manual entry)
Modules by area (with a focus on Quality and Engineering)
Start with data reliability and inspection; expand to production and maintenance as you scale.
QIF (ISO 23952) + DMIS: less ambiguity, more standardization
When inspection requirements vary from person to person, the process gets noisy. With QIF you structure characteristics and tolerances; with DMIS you standardize strategy and execution.
- Reduces inspection programming and reprogramming time
- Improves comparability across machines and plants
- Strengthens audits with traceable technical evidence
- Cuts human-error risk in capture and consolidation
Preventive and predictive maintenance connected to process stability
Maintenance is not only uptime — it is stability. Preventive and predictive strategies reduce operational variation, directly improving measurement repeatability, OEE, and product quality.
Want to see this applied to your scenario?
We map your CAD → inspection → evidence flow, define automation points, and run a pilot focused on measurable gains for Quality, Engineering, Production, and Maintenance.