With eParkomat we aim to become the world's leading parking information provider without owning a single parking spot!
We take an advantage of strategic partnership with T-Mobile/Deutsche Telekom across Europe and our unique algorithm.
While trying to find a parking spot each week an average driver will:
While managing parking an average city is:
eParkomat provides on-street parking availability prediction without sensors or cameras. We reccommend best street to park a car based on real-time street ocupancy and long time statistics.
eParkomat takes unique approach to bring the real data about massive part of population. All our models are using anonymized residual signalling data from the devices connected to mobile operator network. We use these data to conduct monitoring of behaviour of devices connected to the network. Our technology does not require any additional Hardware. Since eParkomat uses only anonymized data, there are no issues with the GDPR.
Alghoritm predicts real-time parking situation with high accuracy by anonymously monitoring the movement of the mobile devices within the mobile network. Algorithm is further enhanced by another source of data.
Following Deutsche Telekom footprint, eParkomat services are able to roll-out in relatively short time in most European countries and North American continent. Although DT is our strategic partner, signalling data are standardized around the world and eParkomat is opened to cooperation with almost any mobile operator there is.
How our mobile app works
Find desired parking spot directly on the map or using search. You can see parking availability direcly on the map. App will even reccommend you better streets to park you car.
We don't lock you in some navigation tool. Just pick the one you use yourself. We can work with Waze, Google Maps, Sygic, Navigon, HereWeGo and Apple Maps. Enjoy the drive!
Winner of Deloitte
Smart Mobility Popup
Best Smart Mobility startup
Smart Cities for Future
Ministry of Regional Development CZ
Best Smart City Solution Startup
Power UP! Competition
2nd place
Startup competition by InnoEnergy
Best BD Solution
Deutsche Telekom
Best innovative Big Data solution competition of Deutsche Telekom
Top12 startup
at ChallengeUp!
IoT accelerator of Cisco, Intel & Deutsche Telekom
Telekom Innovation
contest Uqubate
Internal Telekom innovation contest
No.2 startup at Nastartujtese
Startup competition
Contest of Societe Generale / Komercni Banka a.s.
Jak vidí české startupy budoucnost dopravy?
Deloitte dReport, Czech [04/12/2018]
Minimalizujeme v budoucnu vlastnictví automobilů a budeme je raději sdílet s ostatními? Zefektivní se proces doručování zásilek...
eParkomat: Three questions for IoT Startup
DTAG B2B Blog, English [11/04/2016]
Many young entrepreneurs are now bringing new startup ideas to the market especially in the area of parking – including Pavel and Petr...
Diese drei Startups werden unseren Alltag verändern
Industry of Things, Deutsch [11/07/2016]
Das tschechische Startup eParkomat hat als erstes Unternehmen einen Algorithmus entwickelt, mit dessen Hilfe die Parksituation...
Cena odborné poroty 2016, 2.místo: eParkomat
Nastartujtese.cz, Czech [11/21/2016]
Můžete stručně popsat váš projekt? Každý den spousta z nás řeší problém, kde zaparkovat. eParkomat přináší unikátní řešení a pomáhá...
Project name: Calibration system for predictive technologies
Project code: CZ.01.1.02/0.0/0.0/19_262/0020245
Recipient: City Smart Parking s.r.o.
Co-beneficiary: SVI AJAK services s.r.o.
Provider: Ministry of Industry and Trade
Duration: 1. 8. 2020 - 31. 7. 2022
The subject of the project is research, development and implementation of a functional prototype solution for automation of collection, evaluation and processing of training (calibration) data of transport at rest and movement for the purpose of increasing the efficiency of machine learning of predictive algorithms based on neural network technology and reducing the time of their deployment for production operation. The partner of the project is the company SVI AJAK services s.r.o., which will solve the co-development of a data processing platform as part of the project implementation. At present, the application of big data technologies and their processing and evaluation using artificial intelligence technologies based on machine learning and the construction of neural networks for prediction is a clear global trend across the fields of transport at rest and in These technologies simplify decision-making processes and evaluate data in real time. Thanks to this project, we expect changes in the area of accelerating the deployment of solutions for transport at rest and in motion using artificial intelligence and predictive technology by up to 70%.
In 2018, City Smart Parking, s.r.o. received the support from the European Structural and Investment Funds, implemented through the Operational Program Prague - the growth pole of the Czech Republic and drawn through the first call of Specialized Vouchers (reg. no. CZ.07.1.02 / 0.0 / 0.0 / 16_027 / 0000607). The support was aimed at the participation of City Smart Parking, s.r.o. for the project "Prague Voucher For Stay In Foreign Incubators" in San Francisco (USA) to incubate the company in a foreign incubator and establish new partnerships and business contacts important for the company's expansion into the North American market. The expected outcome is to establish new partnerships and contacts with potential customers. The project "Prague Voucher For Stay In Foreign Incubators" is co-financed by the European Union.
