Asset inspections in industries like power utilities and aviation often involve manual processes that are time-consuming, costly, and prone to human error. The manual review of inspection images for defects and the subsequent generation of work orders can lead to delays in maintenance and potential asset failures.

ThreeV offers an Inspection Insight Automation Platform that leverages customized Large Vision Models (LVMs) and Large Language Models (LLMs) to streamline asset inspections. The platform automates the detection and classification of defects, as well as the generation of work orders, enabling faster and more accurate inspections. By centralizing asset data and machine learning models, ThreeV facilitates collaboration between data science teams, inspection professionals, and business leaders, leading to improved operations and maintenance decisions. The platform integrates with existing image storage and work order systems, providing a unified solution for managing the entire inspection workflow.

Centralized asset and machine learning model repository with smart search capabilities.

Automated defect detection and classification using customized Large Vision Models.

Auto-generation of work orders using Large Language Models, streamlining the remediation process.

User-friendly web platform for deploying models and managing inspection cycles.

Comprehensive task management, reporting, and work order creation tools.

Seamless integration with existing backend systems and storage infrastructure.

Intuitive natural language query capabilities for accessing essential data.

Customizable AI models tailored to specific industry needs and use cases.

ThreeV's primary customers are operations and maintenance leaders in industries such as power utilities and aviation who are looking to modernize their asset inspection processes with AI-powered solutions.