Check images for
within seconds.
Our solutions
Fraud Detection
We verify with forensic image analysis the truthfulness, authenticity, history and provenance of images based on our gobal image data network.
Object Detection
Simply insure with a snapshot. Machines recognize insurable objects or valuable objects on images and estimate their value within seconds.
Damage Detection
Machines recognize different types of damage scenarios from damage images for example smartphone display damages.
Training Platform
We train your personal AI solution with our training platform. All we need are your images to create training sets for your own object detection solution.
Why you’ll love our AI solutions
Simplicity
Create your AI solutions easily with a few clicks and without programming experience.
Data Security
Your data is securely handled in accordance with ISO 27001 and SSAE SOC 2 standards.
Flexibility
More than 40 differently trained machines are able to do your tasks in seconds.
Insights
Detailed insights of your AI projects with powerful analytical tools.
Connectivity
Integrate our AI solution into your frontend easily with our API and SDK packages.
International Markets
Create your AI insurance solutions for international markets with multiple currencies and languages.
Pricing
Note: All prices below are PPU (Pay Per Upload) and excl. VAT
Fraud Detection
(Forensic Image Analysis)
€ 0,11
Check images for modification and manipulation
Check for image duplicates
inside the network
Check for image duplicates
on the internet
50 uploads for free
Response time
approx. 2-4 sec
Object Detection
(Image Labelling)
€ 0,26
Object detection of insurable valuables on images
Automatic value assessment of recognized objects
Damage detection for smartphone displays
Low costs with monthly license fee
>10.000 object categories
Response time
approx. 4 – 15 sec
Welcome to our image data network:
All logos are the property of their respective owners.
Get in touch:
Picsure GmbH
c/o Werk1
Atelierstr. 29
81671 Munich
P: +49 174 94 55 350
We would love to hear from you.