Workflow

A Unified Operational Workflow

Manage the full inspection-to-maintenance life cycle in one ecosystem. Ingest multi-source inspection data, run AI analysis, validate results, generate reports, and drive corrective actions with clear ownership, tracking, and audibility.

Data Ingestion & Project Setup

Create projects, add users, load asset GIS data, and upload inspection data to the platform. Data will be organized automatically for fast processing and review.

AI Processing & Defect Detection

Run custom developed AI models across image datasets to detect assets, identify defects, and extract issues. Outputs are standardized for consistent review and reporting on the platform.

Data Visualization & Validation

Utilize platform tools to review AI findings in a guided workflow and confirm defects on the image canvas and GIS overlays. Create a trusted dataset for reporting and downstream actions.

Prioritization & Risk Scoring

Auto-rank findings by severity, impact, and follow-on actions. Focus teams on what matters most while keeping full traceability from evidence to action.

Analytics & Reporting

Generate structured asset level analytics and reports from validated findings, including defect summaries, component-level insights, severity-based trends, and location-linked evidence.

Maintenance Tracking

Convert prioritized findings into trackable maintenance actions with ownership, status, and completion timelines. Monitor progress from issue identification to closure using linked evidence.

Continuous Monitoring

Universal data intake. Seamlessly upload inspection streams from any capture source - aerial drones, vehicle-mounted cameras, or ground devices—directly into the project structure for immediate organization.