XBuild: Revolutionizing Construction Management with AI Automation
XBuild is an AI-powered construction platform that automates scope generation and insurance supplementation for contractors. By streamlining these tasks, XBuild enables contractors to undertake larger projects and secure faster approvals while minimizing overhead costs.
Documentation Roadblock: Manual Image Analysis Challenges
XBuild’s application requires users to submit detailed damage photos, which are then processed to generate comprehensive, insurance-ready quotes. The manual classification of these images—including identifying asset locations, asset types, and damage types—was time-consuming and prone to errors especially where there are over 50 different component types, leading to delays in documentation and insurance approval processes.
Integrated Computer Vision into Visual Inspection Workflow.
To address these challenges, XBuild integrated LandingLens into their workflow.
LandingLens is an intuitive computer vision platform designed to empower enterprises with AI-driven solutions for visual inspection tasks. It simplifies the end-to-end process of creating, deploying, and managing AI models. With its emphasis on data-centric AI, LandingLens helps businesses achieve high model performance, even with limited data, by focusing on data quality and iterative improvements. Flexible deployment options, including cloud and edge, enable LandingLens to adapt seamlessly to diverse enterprise environments.
Leveraging LandingLens’s capabilities, XBuild developed multiple cloud-based models to automate the classification of images captured within their app. These models accurately identify various elements such as asset locations, asset types, and damage types, significantly expediting the documentation process which helps to identify the scope of work.
“LandingAI’s computer vision solution helps us build solutions 4X faster. It combines ease of tools with robust model training. The platform also allows us to expand our use case in different verticals in an accelerated manner. -Rob Moran, Co-founder/CTO at XBuild“
Scaling Construction Projects: Automated Solution Implementation
The integration process involved training several models within LandingLens using XBuild’s existing image datasets. These models were then deployed in the cloud, seamlessly interfacing with XBuild’s application to process incoming images in real time.
Results
- Increased Processing Speed: The automated system reduced the time required to develop a solution by 84%. Reduce manual label and verification which usually takes 3 hours to 30 mins to simple verification.
- Improved Accuracy: Achieved classification accuracy over 90%+ that allows more reliable documentation.
- Enhanced Customer Satisfaction: Faster processing and improved accuracy resulted in 2X efficiency in processing that increased customer satisfaction ratings.
- Images Processed: XBuild is processing more than 3 million images per year using LandingLens models
Expanding Horizons
Building on its remarkable success in roofing inspections, XBuild is now setting its sights on broader horizons, aiming to expand inspections across multiple industries. The company’s innovative approach to leveraging Visual AI has opened doors to exciting new possibilities in exterior material inspection.
The team is also looking to address the accurate counting of different elements on the roof, especially in scenarios involving expansive fields of view. They are exploring the capabilities of VisionAgent, anticipating that this advanced tool will provide the solution to their counting conundrum.
XBuild anticipates substantial reductions in manual inspection time and human error, leading to increased efficiency and scalability of its inspection processes. This operational streamlining is expected to have a ripple effect, enhancing overall project management and execution.
Ultimately, XBuild’s innovative strides are focused on elevating customer satisfaction. By providing faster and more accurate quotes and assessments, they aim to improve project timelines and reliability significantly. This customer-centric approach, powered by AI, positions XBuild at the forefront of industry innovation.
Conclusion
By implementing LandingLens, XBuild successfully automated the image classification process within their application, leading to faster and more accurate documentation. This integration not only streamlined operations but also enhanced customer satisfaction, reinforcing XBuild’s commitment to innovation in the construction industry.
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