Landing AI
Landing AI / landing.ai
AI computer vision platform for manufacturing quality inspection and industrial visual inspection, founded by AI pioneer Andrew Ng, enabling non-ML engineers to build production visual AI systems.
Pricing
Free
Free plan
No
Category
Developer Tools
Platforms
3
Free plan
No
API access
No
Open source
No
Platforms
3
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What is Landing AI?
Landing AI was founded by Andrew Ng, one of the most influential figures in AI, after his work at Google Brain and Baidu. The company focuses on applying computer vision AI to industrial inspection use cases — quality control in manufacturing, product defect detection, and visual inspection automation where human visual inspection is slow, inconsistent, or insufficient.
LandingLens is the core product — a cloud-based platform for building, training, and deploying computer vision models for visual inspection without requiring deep ML expertise. Manufacturing quality engineers can label defect images, train detection models, and deploy to production inspection systems using a visual interface rather than writing ML code.
The active learning system identifies which images from the inspection system are most valuable to label for model improvement, reducing the labelling burden for teams building inspection models. Rather than labelling thousands of images, the active learning system prioritises the images where additional labels would most improve model performance.
Landing AI's focus on the practical challenges of deploying AI in manufacturing environments — data labelling, model validation, integration with production vision systems, and model drift monitoring — differentiates it from general computer vision tools that provide model training without the full production deployment workflow.
Andrew Ng's personal brand and the AI Fund's backing have given Landing AI credibility in the manufacturing AI space alongside technology companies like Cognex that have traditional machine vision expertise.
How Landing AI works
Landing AI runs as computer vision software built around image workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, api, and edge devices.
Watch Landing AI in action
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What makes it worth shortlisting
The capabilities that matter most for teams evaluating Landing AI.
LandingLens
Cloud platform for building, training, and deploying computer vision inspection models without ML expertise using a visual labelling and training interface.
Active learning
Prioritises which production images are most valuable to label for model improvement, reducing the labelling burden from thousands to hundreds of images.
Edge deployment
Deploys trained inspection models to manufacturing production line hardware for real-time inspection without cloud connectivity requirements.
Best use cases
Who should use it
Pros
- Active learning prioritises most valuable images to label, reducing labelling burden dramatically
- Non-ML engineers can build production inspection models without writing ML code
- Andrew Ng's expertise in practical AI deployment addresses real-world manufacturing deployment challenges
- Edge deployment supports manufacturing environments without reliable cloud connectivity
Cons
- No public pricing requires sales engagement
- Computer vision inspection has many established competitors with deep domain expertise (Cognex, Keyence)
- Quality of inspection models depends on quality and diversity of training data — curation is still a significant effort
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Is it worth the price?
No public pricing. Contact for enterprise pricing. LandingLens platform available for evaluation. Founded by Andrew Ng.
Model
Subscription
Starting price
Free
Free trial
Yes
Tools like Landing AI
Cognex ViDi provides visual AI inspection from a leading machine vision company. Keyence AI provides AI within leading sensor and inspection hardware. Roboflow (covered) provides computer vision model building for developers. Scale AI provides data labelling at scale.
Landing AI vs PTC Vuforia AI
A side-by-side look at the closest alternative in this category.
Landing AI
Landing AI
PTC Vuforia AI
PTC
No public pricing. Contact for enterprise pricing. LandingLens platform available for evaluation. Founded by Andrew Ng.
Enterprise licensing within PTC's suite. No public pricing. 30-day trial for Vuforia Studio.
Review Landing AI's data handling policy. Production inspection image data processed on LandingLens infrastructure or on-premise per deployment configuration.
SOC 2 Type II. ISO 27001. GDPR compliant. Industrial security standards. Enterprise data handling agreements.
Review Landing AI's data handling policy. Manufacturing inspection images may contain sensitive production data. On-premise deployment available for data sovereignty.
Industrial operational data and AR content processed on customer or PTC cloud infrastructure. Review data handling for OT/IT integration security requirements.
- Active learning prioritises most valuable images to label, reducing labelling burden dramatically
- Non-ML engineers can build production inspection models without writing ML code
- Andrew Ng's expertise in practical AI deployment addresses real-world manufacturing deployment challenges
- Edge deployment supports manufacturing environments without reliable cloud connectivity
- Industrial AR expertise with decade-long PTC investment produces domain-specific capability general AR tools lack
- ThingWorx IoT integration connects live sensor data to AR overlays for context-aware field guidance
- Expert Capture preserves institutional knowledge from experienced technicians before retirement
- AI defect detection integrates quality inspection with AR-guided assembly on the production line
- No public pricing requires sales engagement
- Computer vision inspection has many established competitors with deep domain expertise (Cognex, Keyence)
- Quality of inspection models depends on quality and diversity of training data — curation is still a significant effort
- Enterprise complexity requires significant implementation investment in AR content authoring
- Smart glasses hardware (HoloLens) adds significant cost beyond software for hands-free deployment
- ROI measurement requires connecting AR deployment to measurable maintenance time and quality improvements
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
Landing AI
Platforms
Web, API, Edge devices
Deployment
SaaS, On-premise, Edge
Integrations
Manufacturing vision systems, AWS, Azure, GCP, REST API
Team Collaboration
No
Launch Year
2020
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
Review Landing AI's data handling policy. Production inspection image data processed on LandingLens infrastructure or on-premise per deployment configuration.
Review Landing AI's data handling policy. Manufacturing inspection images may contain sensitive production data. On-premise deployment available for data sovereignty.
What users are saying
Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.
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Common questions about Landing AI
Editorial Verdict
Should you use Landing AI?
Landing AI is a strong choice for manufacturers wanting to build visual AI inspection systems without dedicated ML engineering teams, particularly for defect detection and quality control use cases.
Last verified July 24, 2026.