Pipe Force provides a sensor application for storm and sewer pipe inspection that collects Multi-Sensor Information (MSI) in a single pass. This technology integrates CCTV inspection with mapping and GIS data collection without requiring specialized crawler equipment. Asset owners and engineering firms use this high-fidelity data for advanced asset integrity analysis and informed engineering decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Underground infrastructure inspection and maintenance often rely on manual processes that are time-consuming, costly, and prone to human error. This leads to delayed identification of critical issues, inefficient resource allocation, and increased risk of service disruptions.
Solution
Pipe Force AI delivers an integrated solution combining advanced robotic inspection systems with an AI-powered analytics platform for underground infrastructure. Our proprietary robots are engineered for robust mobility and equipped with high-resolution sensors to navigate complex pipeline environments, capturing detailed visual and geometric data. The accompanying analytics platform utilizes computer vision and machine learning algorithms to automate data interpretation, identify anomalies, and generate predictive maintenance recommendations. This enables asset owners to transition from reactive to proactive management, optimizing repair schedules and resource deployment for enhanced operational efficiency and reduced lifecycle costs.
Target Audience
Pipe Force AI serves municipal utility departments, public works agencies, and private infrastructure operators responsible for the inspection and maintenance of underground water, sewer, and gas pipelines.
Features
- Autonomous robotic inspection units designed for diverse underground pipeline diameters and conditions.
- Integrated sensor suite capturing high-definition visual data and geometric pipe profiles.
- AI-driven analytics engine for automated anomaly detection, defect classification, and root cause analysis.
- Predictive maintenance algorithms that forecast potential failure points based on historical data and current condition assessments.
- Geospatial tagging of all inspection data for precise issue localization and integration with GIS systems.
- Reporting dashboard providing quantitative insights, trend analysis, and actionable maintenance recommendations.
- Secure data transmission and cloud-based storage for long-term asset management and audit trails.
- On-site deployment support and remote technical assistance for operational continuity.