PipelineIQ turns raw ILI reports, smart pig data, and field inspections into actionable intelligence — automated corrosion tracking, anomaly prioritization, and PHMSA compliance in one platform.
Smart pig data sits in one system. Coating inspections live in spreadsheets. Corrosion coupons are on paper. Nothing talks to anything else.
Inline inspection reports contain thousands of anomalies. Engineers manually sort, classify, and prioritize — slowing response to the issues that matter most.
PHMSA reporting, Subpart O, API 1163 — compliance is manual, error-prone, and takes senior engineers away from actual integrity work.
Between pig runs, you have no intelligence. Corrosion grows at its own pace — you need a way to model and track it continuously, not just on run day.
Drop in reports from any vendor — ROSEN, Baker Hughes, Onstream, or your proprietary format. PipelineIQ normalizes and structures the data automatically using ML-powered classification aligned with ASME B31G and API 1163.
Machine learning models trained on 17+ years of corrosion data classify anomalies by type, severity, and growth rate — no more manual sorting through thousands of features.
Each anomaly gets a growth model. See how fast corrosion is progressing, when you'll breach your safety factor, and when to schedule intervention — before failure.
PHMSA Subpart O reports, dig ready packages, regulatory submissions — generated from the same structured data. One source of truth from inspection to compliance.
Every feature in PipelineIQ maps to regulatory requirements. When PHMSA audits, your inspection data, anomaly classifications, and mitigation records are already structured and traceable.
PipelineIQ was built by someone who's worked in the field for 17 years — who knows exactly how much time gets lost to manual data work that should be automated. If you've ever stared at an ILI report and thought there had to be a better way — there is now.