
MOTIONTAG
Smartphone-based transport analytics and mobility data platform.
Date | Investors | Amount | Round |
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- | investor investor investor investor | €0.0 | round |
investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
N/A | Support Program | ||
Total Funding | 000k |
EUR | 2016 | 2017 | 2018 | 2019 | 2020 | 2022 | 2023 |
---|---|---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | - | 91 % | (62 %) | 233 % | - | - |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article, Dealroom estimates
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Founded in 2015 by Florian Stock and Stephan Leppler, MOTIONTAG is a technology company based in Potsdam, Germany, specializing in mobility analytics. The firm provides a software platform that uses machine learning and smartphone sensor data to analyze how, when, and where people travel. Its core technology, MOTION OS, can be integrated into existing applications via a Software Development Kit (SDK) or used through a white-label app. The platform passively and automatically detects over 12 different modes of transport, including walking, car, bus, and train, with greater than 97% accuracy, while maintaining low battery consumption.
MOTIONTAG serves a diverse client base that includes public transport operators, government bodies, mobility consultants, and research institutions. Notable clients include Deutsche Bahn, BVG, Alliance SwissPass, and Austria's Federal Ministry for Climate Action and Mobility. The company's business model is centered on providing its technology as a B2B software solution. One key application is fair revenue distribution for public transport associations, where the technology provides objective, usage-based data to allocate funds among operators, a system already implemented for Austria's Klimaticket and in Switzerland. Other use cases include optimizing transport systems, enabling pay-as-you-go ticketing, and supporting urban and transport planning by providing detailed insights into mobility patterns and CO2 emissions.
The company has raised a total of $1.59 million in funding over two rounds from investors such as Brandenburg Capital, Wayra, and DB Digital Ventures. Co-founder Stephan Leppler, who serves as CEO, envisioned the company as a way to make mobility more efficient and sustainable by leveraging data to understand user needs. The technology provides clients with anonymized mobility insights through a web-based dashboard, helping them understand customer behavior, optimize services, and create new mobility experiences.
Keywords: mobility analytics, transport data, smart mobility, machine learning, sensor data, SDK, transport analytics, pay-as-you-go ticketing, public transport, urban mobility, mobility as a service, MaaS, travel behavior, CO2 tracking, traffic analysis, revenue sharing, fare allocation, mobility data collection, smart cities, multimodal transport