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What is FieldDay?
FieldDay is a no-code custom vision AI platform that enables users to train and deploy computer vision models directly from their mobile devices. Built by a team including Aaron Abentheuer, Gabriel Mitchell, Nick Nikolov, and Vedant Gurav, FieldDay solves the problem of making AI accessible to non-developers by eliminating the need for programming or machine learning expertise. Its core capabilities include collecting training data via the app's camera, training custom classifiers in real-time, testing models on live video, and exporting them to AR tools like Snap, 8thWall, and SwiftUI. The platform also features a HomeKit integration that allows trained models to trigger smart home controls based on visual recognition. FieldDay fits workflows for designers, product managers, and hobbyists who want to prototype vision-based interactions without writing code. It is particularly suited for rapid experimentation in retail, IoT, and augmented reality contexts.
AI Tool Review Summary
4.2/5
High, consistent, and on-brand
Clean and minimal
Computer VisionLLM
To enable no-code custom vision AI training and deployment on mobile devices.
iOS app with export to Snap, 8thWall, SwiftUI, and HomeKit integration.
Freemium with paid tiers
Features with the highest value for users are highlighted here.
No-code custom vision AI
Real-time model testing
Data collection and management
Model export to AR tools
HomeKit integration
Burst image grouping
Device heat adaptation
Product designers
IoT enthusiasts
AR developers
Retail innovators
Hobbyists
Educators
Startup founders
UX researchers
Creative technologists
Small business owners
Free
$0/free
Train up to 3 models Real-time testing Basic export
Popular
Pro
$19/monthly
Unlimited models Advanced export to AR tools HomeKit integration
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
Pros & Cons
Enables rapid prototyping of vision AI without coding. Seamless integration with AR platforms and smart home systems.
Limited to mobile-based capture and inference. May require significant training data for complex tasks.
FAQs
Just Launched
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Rating
5.0
Pros
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