AI-POWERED PIPELINE INSPECTION
Digitize your underground pipelines with SWASTH AI.
Built by pipeline inspection specialists, robotic crawler experts, and AI innovators.
AI-POWERED PIPELINE INSPECTION
Digitize your underground pipelines with SWASTH AI.
Built by pipeline inspection specialists, robotic crawler experts, and AI innovators.
The AI That Sees Inside Every Pipeline
Swasth AI turns raw CCTV inspection footage into engineering decisions automatically. AI defect detection, GIS network mapping & WRc-aligned reporting. One unified platform.
Built on Field Expertise. Driven by AI Innovation.
Unlike generic software platforms, SWASTH AI is built by our underground infrastructure experts with real-world experience in CCTV pipeline inspection, robotic crawler operations, and pipeline condition assessment. Our AI analyzes inspection footage to detect leaks, cracks, corrosion, blockages, infiltration, and structural defects across water, sewer, stormwater, and industrial pipelines. With GIS mapping, digital asset management, and intelligent reporting, SWASTH AI transforms inspection data into actionable engineering insights.
Built for utilities and industries to enable predictive pipeline management, reduced downtime, and smarter infrastructure decisions.
From Capture to Insight - Fully Automated Workflow
DATA
UPLOAD
AI
ANALYSIS
DETECT & CLASSIFY
GENERATE INSIGHTS
GIS
VISUALIZATION
SMART REPORTING
The Operating System for Pipeline Asset Intelligence
Transforming inspection footage into actionable decisions with AI, GIS and cloud based asset intelligence
AI Defect Detection
Automatically identify and classify defects with high accuracy.
GIS Asset Mapping
Visualize networks, defects, and inspection history on interactive maps.
Analytics & Dashboards
Track asset condition, identify trends and make data-driven decisions.
Asset Management
Organize inspections across projects, teams, contractors, and regions.
Cloud Platform
Access your data securely from anywhere, anytime, on any device.
Automated Reporting
Generate professional reports instantly with images, scores, and recommendations.
Results your team will actually measure
Multi-Defect Detection Framework
- Object Detection Models
- Defect Classification Models
- Image Segmentation
- Automated Severity Assessment
- Continuous Model Learning
- Multi-Defect Detection Framework
- Frame Quality Assessment Model
- Metadata Extraction Model [OCR]
- Pattern Recognition
The challenges slowing down your pipeline programs
Disconnected Data
Disconnected systems create data silos, duplicate work, and costly integration headaches
Insight Scarcity
Endless footage. Manual review. Critical defects get missed
No Network Visibility
Without GIS context, it’s impossible to prioritize, plan, or predict.
Infrastructure Failures
Aging assets and limited insights lead to failures, overflows, and public risk.
Everything connected. One intelligent platform
AI Defect Detection
Deep learning models detect and classify defects with industry-leading accuracy. Defect Confidence: 94%.
GIS Network Mapping
Map your entire network. Visualize condition, criticality, and risk in real-world context.
Standardised Reporting
Generate WRC, NASSCO, ISO-aligned reports in minutes. Always audit-ready. Pipeline Inspection Report. Executive Summary. PDF.
Dashboards & KPIs
Real-time dashboards that turn data into actionable insights. Monthly Overview: Inspections 248, Defects 842, Condition Index 72.
Project Management
Plan, assign, track, and deliver projects on time and on budget. Planning, Inspection, Analysis, Reporting.
Cloud-Native & Global
Secure, scalable, and accessible anywhere. Built for global teams. AWS Secured.
Everything Connected. One Intelligent Platform.
Real-World AI, Not Lab AI
Trained on millions of real inspection frames across geographies, various pipeline material and diameters.
One Platform. Everything Connected.
AI, GIS, reporting, projects, and analytics - built natively to work together.
Global Standards, Out of the Box
Aligned with global standards for consistent, reliable infrastructure assessment.
Works With Any Hardware
Open, agnostic, and robot-friendly. Protect your existing investments.
Built for Global Scale
Multi-tenant, multi-region, enterprise-grade security and uptime.
The Unfair Advantage: Robots + AI
Purpose-built for modern inspection robots and future-ready pipelines.
AI-driven Defect Detection
Digital Mapping Through GIS
AFFORDABLE. ACCESSIBLE. SCALABLE.
Cloud
Subscription
Enterprise Deployment
Utility-Wide
Rollout
Multi-User
Access
Global
Support
AI ENGINE TRAINED FOR REAL-WORLD COMPLEXITIES
Environments
Conditions
Accumulation
Camera
Materials
Diameters
Field Conditions
Industries We Serve
Water
Utilities
Sewerage
Utilities
Smart
Cities
Municipal Corporations
Engineering
Consultants
Inspection
Contractors
Industrial
Facilities
Global Solution
Designed for utilities and infrastructure owners worldwide.
Secure & Cloud Based
Enterprise-grade security with global cloud infrastructure.
Faster. Smarter. Better.
Reduce inspection time, improve accuracy and lower operational costs.
Sustainable Future
Enabling proactive asset management for resilient infrastructure.
Book Your Free Demo
Frequently Asked Questions
How is Swasth AI different from other software platforms?
Swasth AI is purpose-built for water and sewer pipeline inspection. Unlike generic asset management or GIS platforms, it automatically analyzes inspection data, identifies pipeline defects, generates condition assessment reports, and provides actionable insights to help utilities and industries prioritize maintenance, reduce downtime, and improve asset management.
How does Swasth AI help in pipeline inspection?
Swasth AI converts pipeline inspection data into actionable insights. It helps identify defects, assess pipeline conditions, and support faster decision-making for maintenance and rehabilitation.
What types of pipelines can Swasth AI be used for?
Swasth AI can be used to analyze inspection data from a wide range of pipeline networks, including water pipelines, sewer pipelines, stormwater drains, fire hydrant pipelines, HVAC pipelines, and other industrial pipeline systems. It helps identify defects, assess pipeline conditions and generate reports to support effective maintenance planning.
Can Swasth AI be used for water pipeline inspection?
Yes. Swasth AI uses dedicated data models for water pipeline inspection to identify leaks, contamination risks, illegal connections, blockages, and other defects. It also includes separate data models for sewer and stormwater networks to deliver accurate condition assessment.
What types of pipeline defects can Swasth AI detect?
Swasth AI can help detect cracks, leaks, blockages, pipe deformation, root intrusion, joint issues, silt accumulation, illegal connections, and other pipeline abnormalities.
Why do cities need AI pipeline inspection software?
Cities manage vast water, sewer, and stormwater networks, making manual inspection analysis difficult to scale. Swasth AI automates defect detection, GIS-based asset digitization and report generation, helping utilities act faster. Backed by Solinas’ experience of identifying 10,000+ defects and enabling water savings of 389,287 litres per day for every kilometre inspected, it supports proactive, data-driven infrastructure management.
How does AI pipeline defect detection work?
A. AI pipeline defect detection analyzes inspection images, videos, and field data to identify defects such as cracks, leaks, deformation, blockages, and root intrusion. It automatically classifies and grades defects based on their severity, helping inspection teams prioritize maintenance and make consistent, data-driven decisions.
Can Swasth AI support GIS-based pipeline mapping?
Yes. Swasth AI can support GIS-based pipeline mapping by linking inspection findings with location-based data, helping cities understand where defects and risks are present.
How can I schedule a demo of Swasth AI?
Yes. Please fill out the contact form, and our team will contact you to schedule a demo. Swasth AI is Solinas’ AI-powered platform for analyzing water and sewer pipeline CCTV inspection data, detecting defects, generating reports, and enabling data-driven maintenance decisions.
