What We Do What We Think Who We Are
Transforming
companies
using AI
Creating digital employees to increase process efficiency
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What We Do What We Think Who We Are
63%
of Russian business leaders expect that the development of artificial intelligence will impact their companies within a year.
[ Yakov & Partners ]
80%
of organizations will implement artificial intelligence to boost support specialists' productivity and enhance customer experience by 2025.
[ Gartner ]
67%
of organizations worldwide plan to prioritize investments in data and AI.
[ Accenture ]
99%
of Russian business leaders face difficulties in finding and attracting specialists with AI competencies.
[ Yakov & Partners ]
Digital employees
Sales and customer service
  • Real-time tips for employees
  • Deep speech analytics
  • Native product search on the website
  • Digital mentor
Quality
control
  • Shelf placement of products
  • Technical control in production
  • Control of installation and service works
  • Document recognition
Recruitment
 
  • Mass recruitment
  • Digital onboarding
  • Digital coach
Implementation examples
From thought to finish in the fastest way
Lanit
Gulfstream
Neftmagistral
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Sent
Need

Lanter is part of the LANIT group of companies and specializes in providing service support for cash registers and payment terminals for banks and retail enterprises. It operates in more than 200 cities across Russia, processing thousands of service requests daily. To improve operational efficiency, the company restructured its business model, transitioning to an Uber-like service request system based on an internal marketplace and implementing AI tools for dispatching and monitoring request fulfillment.

Implemented Solutions:
An AI solution was integrated to verify equipment models and serial numbers, control installed SIM cards, and check closing documents.""The system improves the accuracy and speed of data processing.
  • Job marketplace for freelancers: from job distribution and price market control to automatic verification of job completion and payment to the performer’s card.
  • Verification of installed cash register equipment and SIM cards using AI-based photo analysis.
  • Quality control of work and customer-signed documents using AI-based photo analysis.
Results:
x30
fold increase in labor productivity in dispatching and quality control
12%
time savings per request by an engineer.
17%
reduction in costs per request.
Elimination of errors with incorrectly installed equipment.
Next keys
Need
Gulfstream is part of the MTS group and is a leader in the Russian security systems market. The company installs equipment, monitors alarm signals 24/7, and transmits them to response teams, being the largest aggregator of private security organizations in Russia. Gulfstream integrates AI into all key business processes to gain a competitive edge and support aggressive regional expansion.
Implemented Solutions:

Optimal daily route planning for engineers, considering the urgency and complexity of requests as well as traffic conditions.

AI tools for quality control of installation and service work, verification of completed documents, and fire safety logs via photos from engineers.

Speech analytics based on generative AI in sales, customer service, and technical support.

Knowledge base for engineering staff with natural language search for equipment operation questions.

Results:
x2
increase in sales through digital channels.
5%
increase in customer inquiry conversion rate.
+4
percentage point increase in service quality (tNPS).
Next keys
Need
Neftmagistral, the largest independent gas station network in Europe, aims to improve service quality and customer satisfaction. To achieve this, the company required a solution for detailed analysis of customer interactions, forecasting their needs, and automating routine tasks.
Implemented Solutions:
Integrated AI system for analyzing customer interactions at cash registers, providing instant monitoring and analytics of each interaction.
  • Detailed dialogue analysis.
  • Customer needs forecasting.
  • Service process improvement.
Results:
+5
percentage point increase in customer NPS.
  • Rapid hypothesis testing for service quality.
  • Improved quality of customer interactions at all levels.
Next keys