ABOUT US
Real problems (low quality of life, environmental harm, insufficient efficiency of the economy and business, infrastructure deterioration, etc) are composite and embedded in global context. To reduce their severity, you need to affect the factors that at first glance have nothing to do with the case.

Technology and big data have not made anyone more clear-sighted — and they will not make effective and timely decisions for us, this responsibility remains ours and ours only.

From diversity, connectedness and unpredictability comes complexity. From complexity — incomprehension. From incomprehension — indecision.

And from indecision — inaction.

We, the Digital Twin company, are not afraid — and we are ready to undertake tasks of any difficulty.

We see the world as a set of complex and holistic systems, and we are capable of modeling the structure and condition of such systems, as well as the processes in them, while taking into account internal and external connections.

We are using an engineering approach — and it has not failed us yet.

We have already solved many problems in different areas…
…and we urge you to offer the next one.

Вызовы
Непрозрачность прогнозов
Дефицит аналитиков
Дороговизна и переоценка
Несогласованность данных
Крупные инвестиции и решения о стратегическом развитии требуют большей ответственности и хорошей подготовки. На помощь нам приходит математика. Но с какими проблемами приходится сталкиваться каждый день?
Ни консультанты, ни поставщики аналитического программного обеспечения не раскрывают свои модели прогнозирования - о лежащих в их основе принципах остаётся только гадать
Мир меняется быстро - прогнозы и планы нужно пересматривать часто. Это приводит к незапланированным расходам на дорогостоящих консультантов, потере времени в ожидании результата и как следствие - к упущенной выгоде
Данные являются нечистыми и неполными. Единого унифицированного источника данных не существует, и оценки, основанные на нескольких агрегированных источниках, могут быть противоречивыми
Нередко у городов и предприятий нет специалистов с квалификацией, достаточной для корректного прогнозирования - как нет и качественных расчётных моделей
WHY US
Our team consists of top-notch experts in applied math, physics, economics, and data science. We can provide the full stack – data, math, tools, insights, and advice.
MATHEMATICIANS AND ECONOMISTS
We’ll take unstructured information, enrich it with open data from verified sources and create exclusive reports and recommendations packed with interactive graphs.
Environmental, social, and governance strategies play a major role for both people and companies – and we have extensive experience in analyzing the efficiency of existing initiatives and modeling the possible consequences of measures that are yet to be implemented.
EXCLUSIVE DATA. FASTER INSIGHTS
EXPERTISE IN SMART CITIES AND ESG
CHALLENGES
Large investments and strategic decisions require deep preparation. Every day, organisations face the same critical obstacles when working with data and forecasts.
  • OPAQUE FORECASTS
    Neither consultants nor analytics software vendors disclose their forecasting models — leaving clients to guess at the underlying principles and assumptions.
  • ANALYST SHORTAGE
    Many organisations lack specialists qualified to build sound forecasting models, and have no access to reliable quantitative tools for scenario planning.
  • HIGH COST & OVERESTIMATION
    The world moves fast — forecasts and plans need frequent revision, leading to unplanned costs on expensive consultants, delays, and lost business opportunities.
  • DATA INCONSISTENCY
    Data is often incomplete and inconsistent. No single unified data source exists, and estimates based on aggregated sources can be contradictory and misleading.
TEAM
Digital Twin is an international business intelligence and IT company with extensive experience in digital twins for smart cities and large capital investment projects.
In our core we are a team of high-skilled mathematicians and analysts, experts in applied math and economics who aim to conduct research using AI and ML and make an impact on human lives. We help to digitize complex social economical systems and provide tools for interactive modeling of future consequences and impacts.
Our methods are verified by 20+ projects for investment banks, governments, public administrations, utilities, pipeline operators and industrial groups.
  • Serge
     CEO and Founder
    • MSc in Computer Science, Mathematics, and Data Science
    • Experience in oil and gas, chemical and petroleum industries, government, finance, energy, and utilities
  • Oxana
    COO
    • Excellent analyst with great critical thinking skills
    • Self-starter with top-notch skills in teamwork and partnerships
    • Outstanding communicator
  • Waldemar
    Head of Data Science
    • PhD in Mathematics and Data Science
    • 10+ years in deploying ML models into production systems
    • Good understanding of probability factors, statistics, and Big Data
  • Dmitry Krotov
    Commercial Director
    25+ years in foreign and domestic companies (customer and partner relationship management, presentations, contract support)
    Degree in Computer Science from Ural Federal University
  • Paul
    Head of Projects
    • MSc in Computer Science
    • 7+ years in business intelligence and analytics
  • Waldemar
    Head of Scientific Research
    • PhD in Mathematics
    • 45+ years of technical, mathematical, physical, and economic expertise in complex technical and industrial systems, reliability assessments, and development of targeted comprehensive industry programs and software for monitoring technical conditions
  • Konstantin
    Data-Scientist
    • MSc in Mathematics
    • R programming experience, strong software engineering knowledge, and ability to write high-quality code
    • 18+ years in banking (IT, information security, RS, terminals, payment cards, and more)
  • Nick
    Quantitative Researcher
    • BSc in Mathematics and Physics (Engineering, Statistics)
    • 3+ years in ML libraries R, Python, analytics, and technology
    • Specializes in time series analysis and mathematical model formation
    • Builds large data systems and creates analytical dashboards
  • Baga
    ML-Specialist
    • 5+ years in business processes and data science
    • R, C++, Python, Java, SQL
    • Advanced knowledge and experience in statistical tests, ML tools, and deep learning tools (Keras, Tensorflow)
    • In-depth knowledge of NLP
  • Eugen
    Data-Engineer
    • PhD in Theoretical Physics (quantum physics)
    • 10+ years as a database and security administrator
    • 4+ years in machine learning, ETL, data pipelines, Python + R
  • Daria
    Data Analyst
    • MSc in Physics (Photonics and Optical Information Technologies)
    • Python, R, C, SQL
    • 2+ years in scientific research and mathematical modeling
  • Dinar
    Data Analyst
    • BSc in Computer Science (Data Science)
    • Python, R, SQL
    • Experience in ML and DL tools (TensorFlow, PyTorch)
  • Dmitry Prokhorov
    Systems Analyst
    26+ years in production management with a focus on process optimisation and efficiency improvement
    Expert in maintenance strategy development using KPIs and instrumental diagnostics
  • Alexander Baburin
    Systems Analyst / Project Manager
    17 years in unified maintenance optimisation approach development
    Project management for capital investments and major repairs with focus on cost analysis
  • Ekaterina Bykova
    Office Manager
    Economist, graduate of the Financial University under the Government of the Russian Federation
    10+ years in administrative and operational business support
    Document management, reporting and internal process coordination
  • Ilya Borisov
    Infrastructure Digital Modelling Specialist
    Digital modelling of critical infrastructure assets
    Organising and optimising data processing workflows for large equipment datasets
    Data quality control and analytical modelling support
  • Gleb Panov
    Data Processing Specialist
    Analysis, structuring and interpretation of technical data
    Data preparation and transformation for analytical and digital models
    Data quality assurance: integrity, accuracy and logical consistency control
    Process automation using C# and SQL

CONTACT US

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