Lead mobility innovation with superior tech
Utilize cutting-edge technology to securely transform data into groundbreaking mobility insights
Preferred partner of leading mobility organizations
Understand when, where, how and why a user travels
How do people travel, which mode of transport do they use? Which public transport line do they take, where do they stop and why? We are able to automatically capture 14 purposes with 95% accuracy and detect 12 transport modes with our unique blend of sensor data processing and map matching algorithms
Dependable mobility capturing
We deliver high accuracy with limited hit on battery life of the customers’ devices
< 2.5% per hour
When the device is in motion
0% per hour
When the device is stationary
> 97%
accuracy while detecting over 12 different modes of transportation
14 purposes
detected automatically without any allocation or classification needed
How we deliver unmatched mobility insights
At motiontag, we leverage cutting-edge machine learning algorithms to analyze and interpret complex data. Our technology seamlessly integrates GPS data processing and sensor fusion for unparalleled accuracy. We deliver mobility insights by automating mobility recording and offering mobility collection solutions with precise and continuous detections.
Machine Learning
Our algorithms learn from data patterns to enhance tracking efficiency and reliability.
Data Processing
We process GPS data in real-time to ensure accurate location tracking.
We leverage top-notch technology
to provide world-leading quality and security
Smartphone Technology
- Context-aware data collection and sensor fusion
- < 2.5% battery/h during travel
- 0% battery/h when stationary
- Rich, interactive UI experiences driving engagement
AI Technology
- 12 transport modes detected with > 97% accuracy
- Scalable microservice architecture
- AI-powered sensor data processing
- Proprietary integration of geospatial data
- State-of-the-art map-matching algorithms
Implementation & Scalability
- Seamless setup within just a few days
- Works globally on both iOS and Android
- GDPR-compliant with top security standards
Cloud infrastructure
- Scalable microservice architecture
- State-of-the-art map-matching algorithms
- Secure servers located in Germany
motiontag's technology is a strong foundation for long-term market research
For several years, motiontag has been a reliable technology partner for infas across multiple large-scale projects, including national transportation surveys such as the Austrian National Mobility Study and fare allocation, e.g., KlimaTicket. The technology is exceptionally reliable at scale and has proven to be a strong foundation for long-term market research.
Head of Mobility and Regional Research
High-quality measurement of real-world behavior is fundamental for credible research.
Using MotionTag has been critical for accurately and granularly registering travel behavior across transport modes. This approach substantially reduces error and bias compared to self-reported measures, enabling us to observe actual behavioral change rather than stated intentions. Combined with a randomized controlled framework, this strategy has allowed us to estimate the causal effects of several transport policies (such as road pricing and subsidies) and to identify how individuals adjust mobility decisions across all transport modes in response to economic incentives.
Senior Research Economist
motiontag's tech allows us to focus on the new survey elements: time use and expenditures.
Over the years, the traditional way of collecting data through paper-and-pencil surveys has become less productive in terms of data quality and response rates. It is difficult to choose between the two main passive alternatives, GSM and GPS data, because access, costs, and data volumes vary widely. Here, the abilities and quality of motiontag’s proven technology make the choice often easy.
Emeritierter Professor
motiontag's data forms the basis for the allocation of Klima-Talers
By integrating MotionTag's mobility detection into the Klima-Taler.com platform, climate-friendly journeys can be automatically measured and evaluated. More than 50 participating municipalities receive reliable data on CO₂ savings and the use of sustainable forms of mobility. The data shows how mobility behavior is changing for the better in everyday life.
CEO & Co-Founder
motiontag's tech allowed us to capture individual mobility trajectories linked to key characteristics
In our research on gender mobility in Curitiba’s favelas, motiontag’s smartphone-based tracking enabled us to collect detailed route, modal choice, and travel time data directly within these communities. Unlike traditional Origin–Destination surveys - often aggregated into large spatial zones - or large-scale mobile phone big data, which typically lack socio-demographic detail, this approach allowed us to capture individual mobility trajectories linked to key characteristics such as household composition, gender, income, and race. This combination provided unprecedented insight into gender-based mobility inequalities and supports the development of more inclusive urban mobility policies.
Associate researcher in Urban Management
Discover Our Innovative Technology
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