duallo.ai: Revolutionizing Industrial Visual Inspections with AI

duallo.ai is an innovative AI-powered vision inspection system designed for inspection teams, reliability engineers, and asset integrity professionals in high-risk, high-complexity industrial environments such as refineries, pipelines, and offshore platforms. By leveraging AI-driven analysis and 3D modeling, duallo.ai transforms routine video footage captured with standard cameras—like the DJI Pocket or EX-rated models—into structured, actionable insights, significantly streamlining inspection workflows. The platform automates the processing of visual data, generates detailed 3D inspection models in minutes, and uses machine learning to scan every frame for anomalies like corrosion, assigning confidence scores to prioritize findings. Human inspectors remain in control, validating AI outputs, which ensures accuracy while reducing manual reporting and eliminating blind spots. With full asset coverage, on-site quality checks, and seamless integration into existing processes, duallo.ai enables faster decision-making, cuts inspection time from 18 days down to just 2, and enhances safety by minimizing time spent on-site. It supports predictive maintenance through centralized data storage and historical comparisons, and offers digital twin visualization for deeper operational insights. The platform is built with user collaboration in mind—"We’re Building This With You, Not Just For You"—and most teams can begin using it in under a week with no disruption to current operations.

Key Features:

• AI-Powered Anomaly Detection: Automatically scans every frame of video footage for issues like corrosion, assigning confidence scores for prioritization.
• 3D Inspection Modeling: Instantly generates a 3D point cloud model from uploaded video for comprehensive asset exploration.
• Video-Based Data Capture: Enables fast, consistent inspections using standard on-foot video sweeps instead of manual photos and notes.
• Automated Footage Processing: Video is automatically structured and prepped for review upon upload, eliminating manual setup.
• On-Site Quality Assurance: Built-in quality checks ensure complete coverage and reduce rework.
• Seamless Workflow Integration: Designed to integrate with existing inspection processes with minimal disruption.
• Digital Twin Visualization: Provides visual insights through digital twin technology for enhanced understanding and planning.
• Predictive Maintenance Support: Centralized data storage enables historical comparisons and proactive maintenance strategies.
• Instant Report Generation: Produces exportable reports in real time, compatible with existing maintenance and compliance tools.
• Human-in-the-Loop Validation: Inspectors retain final control by validating AI-flagged issues, ensuring accuracy and trust.
• Trackable & Auditable Decisions: All review actions are logged for compliance, transparency, and accountability.
• Reduced On-Site Time: Minimizes time spent in hazardous environments, lowering risks such as heat stress.

Pricing: Duallo.ai offers early access to its platform with limited spots available, suggesting a trial or freemium model. Given the emphasis on user collaboration and the ability to sign up for notifications, the most fitting pricing model is 'trial'.

Conclusion: Duallo.ai is a transformative tool for industrial asset inspections, combining AI intelligence with human oversight to deliver faster, safer, and more accurate results—perfectly aligning with the modernization goals of operations and maintenance teams in critical infrastructure sectors.