Products
Supplier: Clover Group
The solution using AI and predictive analytics technologies
Clover PMM – Predictive Maintenance and Monitoring
Supplier: Clover Group
A solution for monitoring the operation and predicting of equipment condition.
It is created for the analysis of equipment operation and failure prediction with indication of a specific node
Self-Hosted Video Conferencing
Supplier: TrueConf
4K video conferencing and scalable SVC architecture
100% on-premises software solution
Cross-platform native apps for all major platforms
Up to 12 users and 1 SIP/H.323 connection
Easy to set up and control
TrueConf Server: Video Conferencing Server Software
Supplier: TrueConf
Includes all features of free version
On-premises video conferencing core
4K video conferences for up to 1600 participants
Easily integrates with Active Directory and legacy H.323/SIP equipment
Built-in WebRTC-based module for web conferencing
Supplier: TrueConf
Exclusive turnkey solution
Maximum availability and resilience
Unlimited scalability and integration
Unique product for telecom operators and IT service providers
High safety
Supplier: TrueConf
A universal directory of users and groups for the unlimited number of TrueConf Server.
Provides an additional opportunity to search, add, and call subscribers from external servers.
Top-down management of user access to the directory.
Automatic data synchronization between servers.
Completely autonomous work in closed networks.
Supplier: TrueConf
Support for the unlimited number of TrueConf Server instances
Allows to add more TrueConf Server instances without the need to buy separate licenses
Automatic license balancing
Save money by paying only for those licenses which are being used
Supplier: Oz Forensics
Liveness application is the application for mobile online customer registration and authentication. Over 10,000 registrations per month is currently done for the financial sector.
OZ BIOMETRY & VIDEO BIOMETRY Biometric identification
Supplier: Oz Forensics
Developed by Oz Forensics specialists, the biometric module incorporates the latest practices in artificial intelligence and is consistently improved by continuous data enrichment.Face recognition algorithm from Oz Forensics achieved one of the best test results in accuracy on LFW dataset in University of Massachussets tests in 2020 MIT LFW. The Oz Biometry module allows to identify people with a speed of less than 1 second and with 99.87% accuracy