
Amazon Rekognition
Google Vision AI
Ximilar
Kairos
Hume AI
VISUA
Recognize.im
CompreFace is a free face recognition service from Exadel that can be easily integrated into any system using simple REST API.

Profound
AI marketing platform for brands.

Which is more popular?
Based on our record, CompreFace seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | exadel.com | digraph.dev |
| Pricing | — | |
| Company | — | Startup from the United States · 1 - 9 employees |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of CompreFace yet.
Digraph is an AI marketing platform for brands. It brings together AI research, market intelligence, website and campaign analysis, specialist AI workflows, and marketer-led guidance to help teams understand what shapes buyer decisions and what to do next. Teams can measure how AI systems...
What each product offers, as listed by its team.


Possible disadvantages
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using CompreFace and Digraph.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Looking into this I found Compreface (https://exadel.com/solutions/compreface/) an open source face recognition software. There are alread some controb scripts, like contrib/photils.lua, who take some images, run them through a tool,... Source: about 4 years ago
Does anyone know what the technical interview process for Senior Java position looks like for the company Exadel? Https://exadel.com/. Source: over 4 years ago
Exadel - holy heck. They gave us talent for DAYS. Source: over 4 years ago
Tracking Digraph.dev since Oct 2026.
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Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
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Ximilar is a Computer Vision platform that allows you to build and train Deep Learning models for Image Recognition, Detection, and Visual Search. Allows you to download a model for offline usage or connect to them via API.
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APIs to understand emotional expression and align technology with human well-being
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