Fluid Analytics offers an AI-powered platform that analyzes sewer CCTV inspection data to predict and prevent pipeline failures. Its computer vision algorithms identify structural defects and assess pipe condition, enabling utilities to adopt proactive maintenance and improve infrastructure reliability.
Funding
Funding not disclosed
Founders
Product
Problem
Water and power utilities face significant operational risks and costs associated with unexpected pipeline system failures. Traditional inspection methods often lack the predictive capabilities needed to identify potential issues before they escalate, leading to reactive maintenance and service disruptions.
Solution
Fluid Analytics provides an AI-powered platform that analyzes data from sewer CCTV inspections to predict and prevent pipeline system failures. Our proprietary computer vision algorithms process video feeds to identify structural defects, assess pipe condition, and quantify risk factors. This enables utilities to transition from reactive to proactive maintenance strategies, thereby reducing operational expenditures and improving infrastructure reliability. The platform delivers actionable insights through a user-friendly interface, facilitating informed decision-making for asset management.
Target Audience
The primary customers are water and power utilities, including municipal water departments, public works agencies, and private utility operators responsible for underground infrastructure management.
Features
- AI-driven analysis of sewer CCTV video streams for automated defect detection and classification.
- Predictive modeling to forecast potential pipeline failures based on identified anomalies and historical data.
- Computer vision algorithms trained on extensive datasets of pipeline conditions.
- Risk assessment scoring for individual pipeline segments to prioritize maintenance efforts.
- Web-based dashboard for visualization of inspection data, risk reports, and maintenance recommendations.
- Integration capabilities with existing asset management systems.