Blockchain Mobility hackathon – the future of mobility is here

During 21-22.07.18 weekend, I had a pleasure to be a part of the Blockchain Mobility Hackathon in Munich, Germany. As the problem of flexible mobility service is existing in modern society, I would like to present you our idea of blockchain based pay as you go solution.

Blockchain mobility hackathon – Munich 2018

One picture is more than a thousand words :). Great event!

Team – the most important part

Our project was done by people, who met each other just before the hackathon. This is the best part and greatest challenge of hackathons – not only you meet the people but you work with them very closely for the next 48 hours. Our team consisted of 5 developers – Rafal Hofman, Dariusz Kowalczyk, Gabriel Zink, Jakob Niggel, Martin Berger. Only some of us have ever touched blockchain, none of us ever developed a mobile app. Big applause for my team members for the hard work!

By courtesy of Gudrun Muschalla (BMW AG)

As a reward, we got cool noise-canceling headphones from the Amadeus team :). Thank you!

MobiPay – the idea

Our project in one sentence?  Flexible, decentralized, pay as you go solution, that is currency agnostic and ready for the tokenized economy. Speaking in human language – imagine you jump on and off train, car, a bike with automatic payment carried out in the background on the blockchain, even when each provider is using different currency/token. Imagine your car provider use CarShare Token but for example, Bike provider use Munchen City Token. You as an end user, do not have to care about it. Just buy the tokens needed and travel without boundaries! Cool, isn’t it?

MobiPay concept

MobiPay – the tech

On the tech side, we have been using the following stuff:

  • a mobile app developed in Flutter framework presented on Android device
  • backend, consisting of HTTP and Websockets server in Node.js ( for both simulated service provider and mobile app client)
  • Ethereum PoA network with Parity Docker based node
  • Solidity smart contract – standard ERC20 implementation which we called EuroToken and one mobility platform contract

Also, we have integrated our app with perfectly prepared Amadeus API. Even after the hackathon, Amadeus team was curious about our feedback for further improvements. I encourage you to try it in your project. Who knows, maybe it will be the future of travel  :)?


MobiPay architecture

MobiPay – the present

On our GitHub repo, you can find different presentation steps of the app, with screenshots of what is happening on the app, blockchain or service provider simulation. We also consider the app to be quite good documented so you can start it on your own and play :).

MobiPay app
Blockchain view on the events and transactions

MobiPay – the future

Hopefully, our project will be worldwide blockchain based solution for the pay as you go mobility service 🙂

As we talked with Amadeus team, they are planning to develop their self-service API even more. As some parts of the app were mocked due to lack of reservation services, that would be cool to integrate those into the app when the opportunity comes. What is better than the fully integrated app real-life use case?

I hope that our project will inspire you to take part in hackathons and to think and change something in the present what may be the future :). It is good fun!


UN’s World Food Programme WFP Appoints Baltic Data Science As Partner In Building Blocks Project

Baltic Data Science has formally been appointed by WFP to support them on the scale-up of the Building Blocks project.

We are very proud to announce that we have been appointed by the World Food Programme to continue our technical support to further roll-out the existing Building Blocks platform. At the beginning of the this year, we together with the Munich-based blockchain solutiins firm Datarella started to transform a proof-of-concept into a fully-functional blockchain-based transaction platform in Jordan. The inhabitants receive food vouchers that can be used in the village’s supermarket.

So what are the benefits compared to traditional transaction payments? Thanks to the blockchain technology, our innovative system provides higher transparency of aid accounts for beneficiaries and easy tracking of transaction which helps to lower the effort of bookkeeping for vendors and WFP. The biggest, however invisible, advantage is a minimized risk of fraud or data mismanagement.

We want to thank WFP for their trust and are looking forward to supporting them on their next phase scaling up and expanding the Building Blocks project further into other countries and markets.

If you want to learn more about our services or specifically this project, please contact us at info (at)

About WFP:
The United Nations World Food Programme “WFP”, with its Headquarters located in Rome, Italy is the world’s largest humanitarian agency fighting hunger worldwide. WFP is mandated to deliver the food necessary to save the lives of victims of natural disasters, wars, and civil unrest. On average, WFP reaches more than 80 million people with food assistance in 75 countries each year. About 11,500 people work for the organization, most of them in remote areas, directly serving the hungry poor. WFP is part of the United Nations (UN) System.

About BDS:
Headquartered in Gdansk, Poland, BDS is an international data science and blockchain development company specializing in business-focused solutions. BDS develops data-driven applications (mobile/desktop frontends and backends) for international customers as well as blockchain-based applications.

About Datarella:
Founded in 2013 and with its headquarter in Munich, Germany, Datarella is an established solutions provider in blockchain and big data delivering a broad range of consulting and development services for corporate clients supporting them on digital business transformation and Big Data. Datarella Blockchain Solutions is a full service consulting and development for business applications of the blockchain. Datarella offers cloud storage and computing, machine learning (AI) and predictive analytics.