Capture
Capture inspection evidence and validate quality.
AI asset integrity platform
For asset owners, integrity and reliability teams, inspection programs, corrosion engineers, and NDT providers.
Make integrity decisions with the evidence and physics attached.
Asset Integrity brings inspection evidence, operating history, and physics-based degradation models into one decision workflow. Bia helps integrity experts assess condition, prioritize attention, and document the basis for repair, monitoring, or continued-service recommendations.
Inspection to decisionEvidence captured in the field, interpreted with physics.
Pipe-yard inspection footage from the older site, reused for asset condition and maintenance-prioritization storytelling.
What this helps you decide
What does the evidence say about condition—and should the team inspect, repair, monitor, or continue service?
Integrity teams need to turn inspection evidence and operating history into consistent repair, inspection and continued-service decisions. BiaTech keeps that reasoning traceable.
- PriorityIdentify which assets and findings require expert attention first.
- Evidence qualityDetermine whether the available inspection evidence is sufficient for the decision.
- Recommended actionEvaluate how degradation and operating history affect inspection, repair, monitoring, or continued service.
Inspection imagesNDT filesAsset historyOperating dataRepair criteriaField notes
BiaTech decision workflow
Turn operational evidence into a traceable decision.
Each application uses the same common platform, configured around the workflow, customer data boundaries and engineering context.
Quality check
Model condition, degradation and remaining decision margin.
Model
Prioritize inspection, repair or continued-service action.
Operational outcomes
Agree on the operating scoreboard before the pilot begins.
Decision-cycle time
Inspection consistency
Maintenance prioritization
Avoided downtime
Fit with the customer environment
Complement industrial systems that already work.
Works with inspection images, NDT files, asset histories, operating data and customer-approved engineering criteria.
- Operator- and engineering-approved outputs
- Edge, on-premises or private-cloud options
- Customer-controlled data and deployment boundaries
- Shadow-mode validation before operational use
Focused proof - Asset Integrity
Prove one operating decision before scaling.
We will help determine whether it fits a focused, paid proof of value.
Start a pilot conversation
No proprietary data is required for the first conversation.