EndoAim

EndoAim

ASUS
+
+

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About

The ASUS EndoAim AI Endoscopy System is a compact, real-time artificial intelligence solution designed to assist gastroenterologists in identifying and classifying polyps during colonoscopy procedures. Utilizing Intel Core processors and the OpenVINO toolkit, EndoAim processes 60 frames per second with a latency of less than 70 milliseconds, enabling rapid detection of polyps, including those that are small or difficult to detect. It highlights potential polyps on-screen and classifies them as adenoma or non-adenoma, providing real-time feedback to clinicians. Additionally, EndoAim offers a one-click size measurement feature, aiding in the assessment of polyp dimensions without the need for traditional visual estimation methods. EndoAim integrates seamlessly with existing colonoscopy equipment, requiring no additional hardware beyond a mini PC, and has been implemented in over 30 medical institutions in Taiwan.

About

Ximilar is the first MLaaS platform for training and fine-tuning vision-language models without coding, enabling multimodal AI without in-house research teams. Build and train custom models on your own image and text data, then deploy via a single API click. Chain multiple models into automated workflows using Flows. Key capabilities: — Vision-language model fine-tuning on custom datasets — Image classification, annotation, and object detection — Visual search handling thousands of queries per second — Text-to-image search using natural language queries — Automated tagging and product description generation — OCR and text extraction from images — Fashion AI for apparel tagging and visual search — Defect detection for manufacturing and quality control — Classification, grading, and pricing of collectible items Built on Intel Xeon® with TensorFlow and OpenVINO. Deploy via API or offline. GDPR-compliant, EU servers. 15B+ images processed. Clients in 40+ countries.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Gastroenterologists and medical institutions in need of a solution to enhance polyp detection and classification during colonoscopy procedures

Audience

E-commerce, fashion, collectibles, photography, manufacturing and quality control, home decor, healthcare, real estate, and automotive — businesses automating image and vision-language AI at scale.

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$0
Use Ximilar's AI services through the App or API. API calls consume credits from your monthly plan.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

ASUS
Founded: 1989
China
www.asus.com/mobile-handhelds/wearable-healthcare/asus-endoaim-ai-endoscopy-system/asus-endoaim/

Company Information

Ximilar
Founded: 2016
Czech Republic
www.ximilar.com

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Categories

Categories

Computer Vision Features

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Integrations

Claude
Cursor
GitHub
GitLab
OpenVINO
PHP
Postman
Python
Qualcomm Cloud AI SDK

Integrations

Claude
Cursor
GitHub
GitLab
OpenVINO
PHP
Postman
Python
Qualcomm Cloud AI SDK
Claim EndoAim and update features and information
Claim EndoAim and update features and information
Claim Ximilar and update features and information
Claim Ximilar and update features and information