AI-powered visual inspection on iOS devices for real-time defect detection and asset monitoring
IBM Services Software Model Builder transforms field inspections by combining AI visual recognition with seamless mobile deployment on iOS devices. This enterprise solution enables organizations to run advanced Core ML models directly on iPhones and iPads, eliminating the need for cloud dependencies during critical inspection moments. The platform integrates IBM Maximo Visual Inspection with native mobile capabilities, delivering real-time defect detection, asset condition monitoring, and quality assurance workflows. Users can capture images, analyze defects instantly, and generate actionable insights in the field. AiDOOS enhances deployment by providing managed implementation services, optimizing model performance for specific industrial use cases, and enabling rapid integration with existing Maximo ecosystems. The marketplace approach ensures scalability across enterprise operations while maintaining data governance and security standards required for regulated industries.
Production line inspectors use the app to identify defects in real-time, preventing non-conforming products from reaching customers. Visual recognition automatically classifies defect severity and triggers corrective actions.
Technicians inspect machinery, transformers, and infrastructure equipment in remote locations. The app captures visual evidence and condition assessments, creating immediate work orders in enterprise systems.
Organizations conducting regulatory audits use visual inspection data to document asset conditions and compliance status. Timestamped photos and AI-generated assessments create irrefutable audit trails.
Receiving departments inspect incoming goods for damage or defects. The app validates product quality against supplier specifications automatically, reducing acceptance delays.
IBM Services Software Model Builder pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Run sophisticated ML models directly on iOS without cloud dependency
Instant real-time analysis in offline or connectivity-limited environmentsNative Apple framework integration for optimized mobile performance
50% faster inference compared to cloud-dependent solutionsAutomated visual defect identification with high accuracy
Detects multiple defect types simultaneously with 95%+ accuracyTrack asset conditions and generate compliance reports in real-time
Complete asset audit documentation captured during single inspectionSeamless connection to enterprise asset management systems
Inspection data automatically synced to Maximo for workflow automationIntuitive interface designed for field workers with minimal training
User adoption rates exceed 85% within first month of deploymentAiDOOS-verified review data is collected after deployment. Deploy this product and be among the first to share your experience.
Core platform partnership enabling seamless model deployment and enterprise-grade inspection workflows
Direct integration for automatic work order creation and asset history documentation from field inspections
Native deployment platform with Core ML optimization for mobile device performance and offline capability
Cloud integration for secure backup and centralized access to inspection imagery and analysis results
Standard API endpoints for custom integrations with third-party enterprise systems and workflows
Enterprise MDM compatibility for device management, security policies, and application distribution
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Pay for results, not hours
Clear deliverables at each phase
Access to certified specialists