We design the smart cities
of the future
We are a company specializing in the use of artificial intelligence and advanced data analytics to design the smart cities of the future. Our focus is on the study and optimization of urban mobility — car traffic, public transportation, as well as pedestrian and cyclist flows.
Data that becomes decisions
We combine data collection, scientific research and artificial intelligence into tools that grow with the city.
Data & models
Our strength lies in the ability to collect, integrate and process large volumes of data from various sources — municipal systems, sensors, cameras and transportation infrastructure. Based on this data we build precise models that support decision-makers in planning efficient, safe and sustainable urban infrastructure.
Our own research
We conduct our own scientific research, combining expertise in urban planning, traffic engineering and artificial intelligence to create evidence-based solutions.
Our mission
We develop smart tools that grow with the city — adaptive, predictive and driven by real-time data — to support effective, forward-thinking urban transformation.
What we offer
Comprehensive support for urban mobility — from data collection to simulation and deployment.
Advanced data collection and integration systems
From various sources (cameras, motion sensors, GPS data, municipal systems) — a full view of mobility behaviors in urban space, supporting predictive analytics, real-time monitoring and the optimization of infrastructure and services.
AI-based predictive models
Forecasting traffic patterns, the impact of urban investments and citizen responses to new transport solutions — supporting scenario simulations, strategic planning and data-driven decisions.
Research reports and expert analyses
Prepared by an interdisciplinary team, delivering practical, evidence-based recommendations grounded in hard data and domain knowledge to support urban policy and long-term development strategies.
Decision support systems (DSS)
Integrating urban data, artificial intelligence and expert knowledge to enable real-time traffic management, scenario evaluation and long-term strategic planning.
Pilots and test deployments
Carried out in real urban conditions to verify the effectiveness, scalability and flexibility of solutions before full rollout, identifying improvements and alignment with user needs.
Training and workshops
For public institutions and companies — strengthening competencies in data analysis, digital urbanism and the practical use of AI to solve real urban challenges.
Interactive dashboards and data visualizations
Supporting informed decisions and transparent communication with stakeholders — authorities, residents and city planners — enabling intuitive exploration of complex data and urban trends.
Scenario analysis and traffic simulations
Enabling the testing of different urban planning options and assessing their impact on traffic flow, accessibility and overall city operation — supporting better, long-term spatial decisions.
Simulate urban traffic before you change it
A web application that shows, analyzes and simulates urban traffic on a city map — cars, pedestrians, bikes and public transport — and the impact of organizational changes on capacity, safety and flow.
Open the interactive demo →Traffic map
A network of streets and intersections with layers: car, pedestrian, bike and tram traffic.
“What-if” scenarios
Lane closure, roadworks, signal changes, a bus lane, a bike lane or a mass event.
On-map simulation
Moving vehicles and segments colored by load — from free flow to critical points.
AI report
Diagnosis, causes and concrete recommendations, plus the best option — a ready PDF for decision-makers.
Data
OpenStreetMap, GIS data, cameras, sensors, historical data or manual input.
Simulation
Capacity, congestion and travel time for every segment.
Visualization
A “before / after” map with load colors and critical points.
AI report
Situation summary, recommendations and a ranking of the best options.
„Closing one lane on the Mogilska → Czyżyny roundabout segment increases the average travel time by 34%. The heaviest congestion appears at the key intersection. Recommended: temporarily extend the green phase for the east–west direction and reroute part of the traffic via an alternative route.”
From a single test corridor to integration with real-world data (cameras, sensors, weather) and predictions compared against actual traffic.
We support cities and institutions
The architecture of our platform
From data perception to visualization — five layers working together in the city's digital twin.
Perception layer (data collection)
Perception layer (data collection)
Acquires data from urban space in real time, using a variety of sensors and detection technologies to capture the movement of vehicles, pedestrians and cyclists, as well as environmental conditions.
Transmission and connectivity layer
Transmission and connectivity layer
Provides fast, reliable communication between field devices and processing systems, supporting edge computing and ensuring continuity of operation even during network outages.
Analytics and machine learning layer
Analytics and machine learning layer
Uses AI algorithms to analyze data, recognize traffic patterns, detect events and build predictive models that support dynamic mobility management.
Data and warehouse layer
Data and warehouse layer
Integrates data from various sources, cleaning and standardizing it to create a consistent analytical base used in reporting, analysis and strategic planning.
Management and visualization layer
Management and visualization layer
Enables monitoring, analysis and decision-making based on current data, supporting traffic management, event response and scenario simulation within the city's digital twin.
The technology we build on
MOVEON is created together with a technology partner with 25 years of experience in IT and AI systems.
Book a free consultation
30 minutes, no strings attached. Tell us about your city or project and we'll show how AI and data analytics can genuinely help.
- Free, no commitment
- 30 minutes online (Google Meet)
- Concrete recommendations for your case
- You talk to a practitioner, not a salesperson
Prefer email? Write to hello@ewosoft.com
Let's talk about your city
Feel free to reach out for information, partnership opportunities or any questions.
ul. Podole 60
30-394 Kraków, Poland
Kraków Technology Park