Drawing · specification · inspection record
Your workflow is specialized.
Your AI should be too.
Use IrisX technologies and engineering expertise as a foundation for bespoke technical document extraction, engineering traceability, data modernization, private AI applications and specialized automation.
From specification to decision
Requirements · characteristics · references
Evidence-linked answers · exceptions · action
Extend intelligence across the engineering lifecycle.
These are engagement areas for customer-specific design, integration and development—not descriptions of functions already shipping in every IrisX installation.
Requirements & specification lineage
Follow references between technical specifications, drawings and inspection evidence.
Grounded engineering Q&A
Develop assistants that retrieve source-linked answers from approved technical documents.
Technical change impact
Explore which referenced requirements, characteristics and downstream records may be affected by a revision.
P&ID intelligence
Extract and connect plant assets, equipment tags and schematic information for specialized use cases.
Engineering data modernization
Transform large sets of legacy documents into structured records for databases or enterprise systems.
Workflow agents & integration
Build scoped task workflows and connect engineering data to approved customer applications.
Concept illustration for a specifications-driven application.
See how one requirement can connect to many records.
A custom solution could use document references and extracted characteristics to build a traceable chain from a source requirement to engineering records.
Technical clause and governing value.
A specific feature and revision.
Inspection, test or verification information.
Custom project preview · requires implementation
A credible path from concept to production.
Start small, measure performance, then expand only where the economics and engineering results justify it.
Discover
Document types, stakeholders, system constraints and intended outputs.
Evaluate
Test representative samples and document exceptions.
Prototype
Build a scoped proof-of-concept against agreed acceptance criteria.
Integrate
Fit approved data flows, software systems and reviewer workflows.
Operate
Validate results, deploy, support and extend where appropriate.
Have an engineering AI workflow worth building?
Bring the use case, document examples and intended business outcome. We’ll help scope an evidence-based starting point.
