KvantInsight
AI platform for predictive workforce and operational analytics.
It provides objective productivity metrics, identifies overload and communication gaps, and helps uncover the root causes of declining efficiency.
The platform analyzes employees’ digital footprint (communications, activity, and work patterns) and transforms it into objective metrics, actionable insights, and AI-driven recommendations for HR leaders and executives.
Key capabilities:
-Team productivity and focus analysis
-Early detection of burnout and employee attrition risks
-Diagnosis of operational overloads and inefficient processes
-Comparison of teams and departments based on objective metrics
-AI-powered recommendations for HR and management actions
Deployment Guide
Step 1. Create a Virtual Machine from an Image
Follow the guide to create a virtual machine from an image with pre-installed software:
https://cloud.yandex.ru/docs/compute/operations/images-with-pre-installed-software/create
During the virtual machine creation process, in the Image / Boot Disk Selection section:
open the Cloud Marketplace tab;
select the image “Stakhanovets DLP (All-in-One)” (use the exact name as it appears in the marketplace).
Complete the virtual machine creation by configuring the required parameters (availability zone, compute resources, network settings).
Step 2. Connect to the Virtual Machine via SSH
Use the official guide to connect to the virtual machine via SSH:
https://cloud.yandex.ru/docs/compute/operations/vm-connect/ssh
When creating the virtual machine, you specify a username (for example, stkh-admin).
After the virtual machine is created, it is recommended to set a password for the user by running the following command:
sudo passwd stkh-admin
Enter and confirm the new password when prompted:
New password:
Step 3. Complete the Installation
After setting the password, the virtual machine with the pre-installed Stakhanovets product is ready for further configuration and use.
-Early detection of employee burnout
-Prevention of missed deadlines and project risks
-Objective measurement of team productivity
-Identification of operational overloads and inefficient processes
-Detection of employee attrition risks and resignation intent
-Evaluation of the impact of changes and AI tool adoption
-AI-driven decision support for HR and managers
-Comparison of departments and scaling best practices
You can contact technical support:
by email: info@kvantinsight.ru
by phone: +7 905 557 27 75