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Description
InspectProHQ serves as a comprehensive software and business management solution specifically designed for home inspectors, crafted by a Certified Master Inspector who understands the needs of those in the field. This platform goes beyond mere report generation by integrating essential business tools for managing and expanding an inspection company, such as scheduling, online booking, customer relationship management, contracts, invoicing, payment processing, expense tracking, mileage logging, analytics, marketing strategies, and dedicated portals for clients and Realtors, along with team management features.
When it comes to inspection and reporting, InspectProHQ offers a contemporary report-writing experience tailored to align with actual inspection processes.
Among its many features are AI-assisted report writing, AI-driven defect identification, an extensive library of over 600 built-in defect comments, a variety of customizable inspection templates, a personalized report builder, capabilities for photo capture and annotation, voice-guided comment entry, a repair cost estimator, checks for CPSC product recalls, and the ability to create reports in multiple languages, with PDFs available in 30 different languages.
This robust set of tools empowers inspectors to streamline their workflows and deliver exceptional service to their clients.
Description
Mitutoyo has established itself as a global frontrunner in the realm of precision measuring tools and solutions. In our dedication to supporting your goal of producing entirely defect-free products, we have harnessed artificial intelligence to devise an innovative approach to the intricate challenge of defect detection. Historically, the process of visual defect detection has been not only expensive but also labor-intensive. With the advent of AI INSPECT from Mitutoyo, we empower users to craft straightforward yet advanced defect detection systems for visual inspection, thanks to the remarkable capabilities of artificial intelligence and machine learning. This state-of-the-art software employs deep-learning convolutional networks to discern the visual discrepancies between normal and defective pixels across any series of related images. Users can easily upload images of both defects and normal products into the application to establish a project model. They can then utilize intuitive marking tools to identify defects within the images. Furthermore, the software provides a guided training setup process that requires no prior knowledge of artificial intelligence, making it accessible to all users who wish to enhance their inspection capabilities. Ultimately, this transformative tool not only simplifies the defect detection process but also enhances overall product quality.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
NVIDIA DRIVE
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
InspectProHQ
Founded
2026
Country
United States
Website
inspectprohq.com
Vendor Details
Company Name
Mitutoyo
Country
United States
Website
www.mitutoyo.com/aiinspect/
Product Features
Home Inspection
Billing & Invoicing
Color Codes / Icons
Comment Library
Commercial Inspections
Credit Card Processing
Photo Editing
Repair Estimates
Report Summary
Residential Inspections
Sketching
Templates
Video
Voice Notes
Product Features
Inspection
Appointment Management
Customer Database
Dispatch Management
Equipment Tracking
Photos In Reports
Print on Site
Report Templates
Speech Recognition
Subcontractor Management