NOVAOPS_ENGINE

Bank-Grade AI for Infrastructure

We apply financial anomaly-detection thinking to infrastructure. The same mindset used to catch suspicious activity at scale is repurposed to detect corrosion, structural failures, and risk signals in the built world.

Signal Discovery

Turn raw imagery, thermal, and LiDAR into structured signals that highlight anomalies worth investigating.

Operational Rigor

Evaluations, controls, and repeatable pipelines designed for regulated environments.

Security-First Processing

Data handling practices aligned with the standards expected at large financial institutions.

From “Financial Fraud” to “Infrastructure Fraud”

In finance, you look for behavior that deviates from a trusted baseline. In infrastructure, you look for physical patterns that deviate from expected structure—corrosion, deformation, heat signatures, or change over time. The core strategy is the same: isolate the right signals, model them, and surface the highest-risk outliers.

Legacy note: our team has experience building patented deep-learning systems for anomaly detection (MouseTrap, US Patent #20210295338), and we bring that same standard of rigor to inspection intelligence.