01Socio-economic problems
- Monitoring the comprehensive condition of a territory
- Analytics, including factor analysis and what-if analysis
- Assessing current and forecasting potential accessibility of social facilities
A digital twin is
a virtual model of an asset that combines historical and forecast data with analytics and decision-support tools. It helps improve management, raise the efficiency of core operations and achieve the goals you set.
Problems we solve
01
02Engineering and technical problems
- Monitoring and modeling the load on engineering networks
- Assessing the consequences of emergencies and developing recommendations to prevent them
03Transport problems
- Modeling traffic flows and movement patterns
- Analyzing transport correspondences and economic links between settlements of a territorial entity
- Route optimization
04Geoanalytical problems
- Modeling the optimal placement of social facilities
- Analyzing the potential of locations for retail facilities, taking population traffic into account
- Geomarketing, agent-based modeling, solving logistics problems
05Investment assessment problems
- Assessing the impact of investment projects (financial and non-financial)
- Identifying the optimal allocation of investments
- Prioritizing investment projects
06Optimization and planning problems
- Demand planning
- Modeling the value chain, including supply chains (SCP)
- Solving optimization problems
A digital twin of a company or a territory supports effective decision-making and process optimization by identifying and eliminating bottlenecks and inefficiencies. This makes it possible to cut costs, maximize revenue and reduce risks.
Optimizing operations with a digital twin of the asset
Our solutions, based on AI and digital twins, are able to adapt to changes and recalculate forecasts on the fly. This approach significantly reduces losses from unforeseen situations and improves management efficiency.
A set of methods and tools based on a digital twin that ensures the optimal allocation of investments, forecasts and assesses the effectiveness of investment projects, helping you make well-grounded decisions
Flexible, configurable models
A system for assessing management decisions
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What we offer
Always-on digital twins, decision support systems and mathematical optimization to help improve efficiency, analysis and forecasting, reduce risks and support the achievement of defined objectives.
Unique system forecasting methods
Digital twin-based solutions
Artificial intelligence for rational management
SaaS platform
Digital Twin of a Pipeline
A platform for digitization, load calculation and maintenance planning for engineering networks
Digital modelling of infrastructure destruction multiplies the reliability, safety and efficiency of operations.
The work identifies the probable place and time of failure for every infrastructure element — and produces an optimal usage and repair programme.
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Software
Digital Twin of an Enterprise
A comprehensive solution for optimizing production processes and improving the resilience, efficiency and profitability of an enterprise
We offer a comprehensive solution for market monitoring, demand forecasting, production and financial planning.
You can make informed strategic decisions, avoid inefficient costs and steer your business towards sustainable development and growth.
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SaaS platform
Digital Twin of a City
A system for managing territorial development based on assessments and forecasts. It links the dynamics of baseline and target indicators across time, space and industries
The system is built top-down — from territorial development goals to individual objects and actors. Indicator detailing keeps management decisions consistent and works through standard territorial governance mechanisms.
Visit site →Russian Software Registry
Advantages
Accuracy of calculations
Digital twins provide a systematic approach to forecasting and studying the behavior of assets. This makes it possible to obtain accurate and reliable forecasts that are crucial for effective management decisions.
Risk management
A validated risk model can help assess potential risks and develop effective measures to mitigate them
Effective decision-making
You gain the ability to model and analyze different scenarios in advance. The digital twin analyzes decisions and optimizes the system, eliminating inefficiencies and bottlenecks.
Unique analytical products
The digital twin makes it possible to interactively model complex systems to achieve specific goals, such as increasing margins or household incomes. We can build a set of measures and plans to achieve these goals
Flexibility and adaptability
Our tools and approaches were designed with a focus on flexibility and adaptability, making it possible to respond quickly to any changes in market conditions
Want to learn more?
Our tools help you make well-grounded decisions, improve efficiency and optimize production.
A digital twin makes it possible to forecast a system and assess risks and opportunities for growth. We offer accurate and transparent calculation schemes that take your needs into account. Join us to unlock new opportunities for your business!
info@dtwin.ru
+7 963 245 42 60
Models for solving problems
Models are tools that help us understand and solve problems across various domains. They can be built using a combination of physical principles and mathematical equations, as well as the results of research in fields such as economics or energy. In addition, modern methods such as neural networks and deep learning are used to find the most effective solutions to complex problems. Ultimately, all the models are part of a comprehensive city model.
Mathematical models for Scientists
List of models
Macroeconomic models
- Urban development simulator Assessing the impact of investment projects on urban development
- Demographic model Forecasting the dynamics of population, birth rate, mortality and migration
- Socio-economic model of national goals Scenario forecasting of income/expenses and quality of life
City model
The city model is a comprehensive and dynamic representation of the current and future state of a city. It is a digital platform that brings together various data sources and models and provides a holistic view of the economic, social, infrastructural and environmental aspects of the city.
Inter-industry and industry models
- Input-output model and supply-demand models Assessing deficits-surpluses and supply-demand Assessing exports-imports, output-costs, capacity-load Assessing the efficiency and effectiveness of state regulation and measures
- Agglomeration model and Inter-territorial balance model Assessing commuter migration Assessing the load and demand on infrastructure Forming transport system development plans
- Transport and economic balance Assessing and forecasting the state of the transport sector Identifying ways to improve the economic efficiency of public transport Substantiating the parameters of transport reform and management decisions
- Accounts receivable for utility resources and services Assessing the causes of accounts receivable Slowing the growth rate of accounts receivable
- Calculation and assessment of risks in resource supply to territories Distribution of risks of guaranteed heat supply Assessing probable resource losses in water supply, wastewater and heat supply systems
Performing simulation and optimization calculations
- Heat supply, water supply and wastewater model Developing optimal regimes and programs, substantiating parameters for adjusting the network scheme Reducing the costs of maintaining the target indoor temperature.
- Assessment of pipeline failure Assessing the timeframes and conditions for safe operation of utility pipelines Reducing the accident rate and total cost of network ownership
- Optimization of consolidated cargo transportation Reducing costs under given delivery-time constraints
How we work
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Preparation
We carefully study your requirements, develop an approach, define the scope of work and launch the project.
02
Data loading and enrichment
Transforming and loading data Eliminating errors Recovering missing parts Consolidating into a single set Enriched with external data
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Systems analysis
Describing the system and detecting interconnections Identifying bottlenecks Proposing goals and KPIs based on the analyzed data
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Modeling and forecasting
Creating the digital twin Developing scenarios and forecasting system behavior Analyzing the company's operations, the market, customers and suppliers
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Interactive tool
- Preparing a report with information and recommendations (if required)
- Configuring interactive tools for monitoring, analysis and forecasting
- Handing over the model, datasets and tools to your team
Results
A reflection on Philip K. Dick, forecasting, and the idea that publishing a model can change the system being modeled.
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