CTO / CPO · Enterprise AI

Enterprise-grade AI systems,

built and shipped at national scale.

30M+ users · 17+ years of enterprise experience

MERCEDES-BENZ·NLMK·CATERPILLAR·NORNICKEL·GTLK·
MERCEDES-BENZ·NLMK·CATERPILLAR·NORNICKEL·GTLK·
MERCEDES-BENZ·NLMK·CATERPILLAR·NORNICKEL·GTLK·
Systems our founder built as CTO, in production at these organisations

AI Ecosystem

Technology behind the systems

AI Systems
NLP & LLM

Citizen appeal classification and response generation, in federal production

Computer Vision

Document and image recognition in appeal processing

ML Ops

Retraining loops on operator-verified data, production monitoring at national scale

GenAI

Text-to-SQL and AI assistants in the BI+AI management platform

Big Data

Terabyte-scale receipt stream for national consumer price statistics

Neural Networks

Word2Vec+LSTM and PyTorch classifiers in federal production

Select a domain for details

30M+
Users impacted
15+
Industries served

AI systems and platforms built and shipped across 15+ industries — at national scale.

Systems in production

Systems that shaped industries

In production · Ministry of Construction

AI-powered citizen request system

AIGovernment2023–2025
78% in research → 95%+ on several categories in production (operator audit) · Rospatent reg. 2026662502
Outcome
XXVI Golden Site Awards, 1st place 'Best AI-based solution for citizen-inquiry processing'
In production · Russian Railways

RZD Bonus Loyalty Platform — Highload

EnterpriseLoyalty2020–2023
33M passengers, 9.9M members
Outcome
XXVI Golden Site Awards, 1st place 'Best Corporate Programme'; Tagline 'Best Integration' 2020-21, 'Best Highload' 2022
In production · Federal Statistics Service

AI-powered Big Data system for consumer price and trade statistics

AI & DataGovernment2021
Terabyte-scale data, 90% accuracy in production, 150+ report templates · Rospatent reg. 2026662475
Outcome
Tagline 'Best Audience & Data' 2022 (1st place), 2023, 2024
In production · Mercedes-Benz Bank

Online credit & leasing application

FinTechEnterprise2022
Outcome
Tagline Award 2022
In production · State Transport Leasing Company + STLC Europe

International corporate omnichannel platform

EnterpriseInternational2020–2023
Outcome
Tagline 'Best International Site' 2020-21; 'Best Integration' 2023; 'Best International Digital Service' 2025
In production · DigitalCEO

BI+AI digital management ecosystem

AI ProductAI Engineering2025
Own product · #3 BI vendor by licence revenue (TAdviser)
Outcome
CNews AI Industry Review 2024
In production · NLMK

Corporate portal for 60,000 employees

EnterpriseIntranet2019
Outcome
Tagline 'Best Intranet' 2019; StepTwo Intranet & Digital Workplace Awards — 2nd place worldwide (Silver)
In production · Federal Alcohol Market Regulation Service

AI-powered citizen request processing system

AIGovernment2022–2023
Same registered product · Rospatent reg. 2026662502
Outcome
Tagline 'Best AI Technology' 2022 (Bronze); 'Best Gov Service' 2023
In production · Sberbank

Cybersecurity education platform

EnterpriseCybersecurity2021
Outcome
Automated cyber literacy system
In production · Caterpillar Financial

Online leasing applications

FinTechEnterprise2020–2021
Outcome
Tagline Award 'People's Choice' 2020–2021
Research

AI research preprints

Six sole-authored preprints on arXiv, submitted to peer-reviewed journals. Indexed in NASA ADS, Semantic Scholar & Google Scholar.

ORCID 0009-0004-7005-6242
Founder

Vladimir Beskorovainyi

CTO / CPO · Enterprise AI Systems

Vladimir Beskorovainyi builds production AI and big-data systems at national scale. Over 17+ years he has led engineering for platforms serving tens of millions of users: from NLP systems processing citizen requests in federal government to big-data pipelines behind national statistics.

Full lifecycle: architecture, machine learning, and shipping models to reliable production. Products adopted by federal agencies and enterprises, recognised by Tagline Awards, Golden Site and StepTwo.

Founder's Portfolio

Contact

For collaboration, technical discussion, or speaking — reach out directly.

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