# InFlightAI: Visual AI for asset maintenance \& physical site security

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## Pages
- [Terms and Conditions](https://inflight.ai/eula/)
- [The InFlightAI Platform](https://inflight.ai/platform/)
- [Privacy Policy](https://inflight.ai/terms-and-policies/)
- [The Latest from InFlightAI](https://inflight.ai/news/)
- [AI Inspection Model Library](https://inflight.ai/ai-model-library/)

## Posts
- [InFlightAI and PG\&E at NVIDIA GTC 2026](https://inflight.ai/inflightai-pge-nvidia-gtc-2026/): Our talk broke down how AI\-powered autonomous inspections and automated reporting are helping utilities like PG\&E move faster, make better decisions, and build more resilient operations\.
- [Flight to Insight: AEP Ohio turns inspections into uptime](https://inflight.ai/aep-ohio-flight-to-insight/): Alongside AEP, InFlightAI presented a webinar at Distributech 2026 on how electric utilities are using drones and AI to scale their inspection programs across the country\.
- [Levatas is now InFlightAI](https://inflight.ai/levatas-is-now-inflightai/)
- [Automating asset inspections in the harshest environments](https://inflight.ai/automating-asset-inspections-harshest-environments/): InFlightAI was deployed to automate asset inspections in upstream refineries: detect and read analog gauges, digital panels, sight glass, valve positions, and even spills and leaks\.
- [Levatas AI integrates NVIDIA Metropolis platform into their Computer Vision Solutions](https://inflight.ai/levatas-ai-integrates-nvidia-metropolis/): Levatas AI is integrating NVIDIA Metropolis to enhance its computer vision solutions for industrial asset inspection\. This collaboration enables automated anomaly detection, predictive failure analysis, and streamlined workflows\. Levatas will showcase these solutions at NVIDIA GTC and offers free trials to Skydio and Boston Dynamics customers\.

## AI Models
- [Equipment Tag Reading](https://inflight.ai/ai-model-library/equipment-taglabel-reading/)
- [PPE Detection](https://inflight.ai/ai-model-library/ppe-detection-vest-hat-gloves/)
- [Trash and Debris](https://inflight.ai/ai-model-library/unexpected-object-debris-trash/)
- [Bags and Packages](https://inflight.ai/ai-model-library/unexpected-object-bags-packages/)
- [Trailer Door Tag Detection](https://inflight.ai/ai-model-library/trailer-door-tag-detection/)

## Categories
- [Uncategorized](https://inflight.ai/category/uncategorized/)

## Inspection Types
- [Asset Maintenance](https://inflight.ai/ai-model-library/inspection-type/asset-maintenance/)
- [Physical Security Patrol](https://inflight.ai/ai-model-library/inspection-type/physical-security-patrol/)

## Relevant Industries
- [Electric Utilities](https://inflight.ai/ai-model-library/relevant-industry/electric-utilities/)
- [Oil \& Gas](https://inflight.ai/ai-model-library/relevant-industry/oil-gas/)
- [Manufacturing](https://inflight.ai/ai-model-library/relevant-industry/manufacturing/)
- [Logistics](https://inflight.ai/ai-model-library/relevant-industry/logistics/)
- [Power Generation](https://inflight.ai/ai-model-library/relevant-industry/power-generation/)

## Inference Times
- [Post Flight](https://inflight.ai/ai-model-library/inference-time/post-flight/)
- [Live Flight](https://inflight.ai/ai-model-library/inference-time/live-flight/)

## Deployment Windows
- [Day 1](https://inflight.ai/ai-model-library/deployment-window/day-1/)
- [By Day 30](https://inflight.ai/ai-model-library/deployment-window/by-day-30/)

## Optional
- [Sitemap index](https://inflight.ai/wp-sitemap.xml)