Hokentech
TrustWatch (by Hokentech) is an AI-driven application that authenticates luxury watches from a single photo, aimed at collectors, retailers, and repair shops to quickly identify counterfeit timepieces.
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Best for: AI Detection
What it does
AI Detection software for decision-makers comparing workflow fit and alternatives.
Best fit
AI Detection
Pricing snapshot
Paid from €12/month
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Hokentech
TrustWatch is an AI-powered watch authentication system built to help enthusiasts, retailers, jewelers and repair shops verify the authenticity of luxury watches quickly and affordably. Users upload photos (typically of the dial) from a smartphone, tablet or PC; the app analyzes watch details with a proprietary TensorFlow-based machine learning model and returns a simple authenticity score. The product emphasizes ease-of-use, broad brand/model coverage and continuous learning via dataset expansion and user contributions.
TrustWatch (by Hokentech) is an AI-driven application that authenticates luxury watches from a single photo, aimed at collectors, retailers, and repair shops to quickly identify counterfeit timepieces.
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Claim this listingKey Features
AI-driven authentication
Proprietary AI model (trained with supervised learning/TensorFlow) analyzes watch details—logo, dial, hands, markers, case, bezel, crown—to classify authenticity.
Single-photo scan
Authenticate a watch by uploading or taking a single photo of the dial; the system returns a result in seconds.
Broad brand & model coverage
Supports dozens of luxury brands and hundreds of models (site references over 500 models and lists brands such as Rolex, Richard Mille, IWC, Omega, Patek Philippe, Panerai, Audemars Piguet, TAG Heuer).
Fast results
Typical analysis completes in a few seconds; workflow described as upload (1 minute), AI check (3 seconds), share result (1 minute).
Continuous learning & contributions
Model improves through dataset expansion; users may contribute photos of known fakes to help train and refine the system.
Cross-platform access
Service is accessible from smartphones, tablets and PCs; a mobile app for Android and iOS is planned.
Unlimited scans (Ultimate plan)
Paid plan offers unlimited scans, uploads and brand checks.
Payment gateway support
Accepts major cards (Visa, Mastercard, American Express).
Tutorials and demo
Site provides a demo and tutorial pages explaining how to take photos and use the tool.
Pricing
TrustWatch Ultimate
€12/month- Unlimited watch scans
- Unlimited watch uploads
- Unlimited watch brand checks
- Access to models (site references over 500 different models)
Use Cases
Individual buyers & collectors
Quickly check a watch before purchase (online or in-person) to avoid buying counterfeits.
Jewelers & retail stores
Speed up in-store authentication workflows to verify inventory or incoming trade-ins without waiting for an external expert.
Repair shops
Use the tool as an initial authenticity check before accepting or repairing luxury watches.
Online sellers / marketplaces
Provide added trust signals for listings by pre-checking items prior to sale (implied use case from buyer/trader workflow).
Integrations
Visa / Mastercard / American Express
Payment gateway support for subscription purchases using major credit cards.
TensorFlow (ML framework)
Uses TensorFlow in the model training/process pipeline to build and run the supervised learning model.
Benefits
Limitations
Frequently Asked Questions
What is the TrustWatch system?
How does TrustWatch work?
How accurate is the model?
Can I use TrustWatch on any device?
Where can I find a tutorial or demo?
How do I contact support?
How do I cancel or downgrade my subscription?
How can I contribute data or help improve the system?
Getting Started
- 1 Step 1: Open TrustWatch on your device and sign in or register (use the same email you will manage subscriptions with).
- 2 Step 2: Upload or take a clear photo of the watch dial (good lighting, avoid reflections) for best accuracy.
- 3 Step 3: Let the AI analyze the image (results typically in a few seconds) and save or screenshot the result to share.
Support
Primary support: [email protected] for questions, contributions and support requests.
docs
On-site tutorial and demo pages explain how to take photos and use the authentication features.
roadmap
Public roadmap link is available on the site to track progress and upcoming features.
API
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