CrowdPrecision High-Quality Crowdsourcing Service Powered by Blockchain

Chapter 1:


Team Members
Thomas Tran-Gia/Team Leader
Thomas has five years of experience working in Crowdsourcing Technology. He is a programmer of, where he works on various aspects of Crowdsourcing, including worker quality control, security enhancement and campaign management. Since joining the Crowdsourcing business, he has become used to working in globally distributed international teams, making him the perfect team leader.

Andreas Schütz/Blockchain Advisor

Andreas has an M.Sc. in Information Systems and fell in love with Blockchain in 2011. He has been giving Blockchain workshops since 2016. He also loves to write articles for his website www.etherbasics. com, which has about 30,000 visitors every month. Besides that, he researches on how his second passion, information security, can be supported by Blockchain. He is also running case studies on the development of smart contracts for campus and e-learning platforms.

Tobias Fertig/Blockchain Programmer

Tobias has an M.Sc. in Computer Science and is a REST expert. He has been developing RESTful APIs for five years. His passion for distributed systems led him to Blockchain Technologies. He has also been a lecturer at the University of Applied Sciences Würzburg-Schweinfurt in Germany since 2014. He lectures on Operation Systems and Distributed Systems and also on Software Engineering, Programming and Blockchain Technologies. He is one of our core developers.

Igor Eisenbraun/Blockchain Business

Igor mined his first bitcoins in 2011 and has been a Blockchain enthusiast ever since. He loves the idea of using a decentralized, unforgeable currency in the digital world. He is co-founder of www.etherbasics. com, which provides fundamentals for Ethereum novices. In recent years he has been able to gain a lot of experience in various Blockchain projects.

Henry Vu/Communication Manager

With a background as a software developer and a business consultant, Henry has been able to gain a deep understanding of Blockchain Technology and its promising advantages from both sides: technical and businesswise. Besides researching and teaching at the University of Applied Sciences Würzburg-Schweinfurt, he also gives seminars and talks on cryptocurrencies and Blockchain.

Phuoc Tran-Gia/Chief Scientific Advisor

Phuoc is a Professor of Computer Science at the University of Würzburg, Germany, where he holds the Chair of Distributed Systems and Computer Networks. He pursues research on performance analysis of Peer-to-Peer mechanisms, Future Internet Architecture and Crowdsourcing Technology. He is a cofounder of several companies, including Infosim and Weblabcenter, and he helps to run the Crowdsourcing platform

Matthias Hirth/Crowdsourcing Expert

Matthias is head of the Future Internet Research group of the Chair of Communication Networks at the University of Würzburg. Since 2010 he has been focusing on the optimization of Crowdsourcing workflows and processes. His work has been published in more than 50 articles in internationally recognized journals and conference publications. He is an active member of the Crowdsourcing research community. Besides his academic activities, he works as a scientific advisor for Crowdsourcing companies.

Leng Yaw-Owe/Business Manager, Asia-Pacific

Leng Yaw-Owe is a Singaporean Entrepreneur in Information Technology. He has started and owned many companies, including the access network platform ASI and the network management software company Infosim Asia-Pacific. His vision is to broaden the use of Crowdsourcing in Asia-Pacific area and to achieve multi-language support for Crowdsourcing.

Wolfgang Stegmann/Business Advisor

Wolfgang is a Statutory Auditor and Tax Consultant in Germany. From 1996-2014 he was Vice-Chairman of DATEV, a major German Tax Consulting Software Company. Previously, 1982-1996, he was a Partner in Ernst & Young, Germany (Audit). Since 2014, he has been an Auditor, Tax and Business Consultant, and since 2017 a Consultant on Tax and Legal Aspects of Blockchain Applications.

Paul Müller/Communication Manager

Paul is a Professor of Computer Science at the University of Kaiserslautern, Germany. He was also Director of the Regional Computing and Data Center. He was responsible for the nationwide G-Lab testbed working on Future Internet. This led him to research on Peer-to-Peer systems and Blockchain Technologies. Since 2017 he has been Blockchain consultant of various banking and governmental organizations.

Karl Klug/Intellectual Property Advisor

Karl is an expert on Information & Communication Technology and Security Architecture, a technologist with a multidisciplinary background. He works as a high-tech consultant and adviser on patenting and patent strategy. For many years he was responsible for the patents and intellectual properties at Siemens ICN Corporation based in Munich area.

Benedikt Glatzl/Business Advisor

With more than 10 years of experience in product and management positions in the startup and tech industry, Benedikt can tap into extensive knowledge about helping organizations to achieve excellence in the fields of products and operations. Before assuming his role as Head of Products & Operations at Parkbob and Ulmon, he worked for Google as a Product Quality Strategist and in Google’s Global Innovation Programs, where he supported executive teams and Google partners in developing innovative solutions for their current problems and needs. He teaches Design Thinking, Prototyping and Lean Operations at various universities and institutions throughout Europe.

Chapter 2:

CrowdPrecision Mission


With the fast evolution of information and communications technology, the Internet has become available almost anywhere and at any time. Smartphones and similar devices have become increasingly essential in everyday life and various kinds have been made readily available in large numbers. The ease of access to such devices has had an immense impact on the number of people around the globe who are interconnected. These global connections enable people to communicate and collaborate across borders instantaneously and at a low cost. That would have been challenging or even impossible a few years ago. Besides enabling easy and fast transfer of information, the Internet has also generated an incredibly huge potential labor force that is available 24/7, globally distributed, and has a highly diverse set of skills.

One approach to access this labor force consisting of global Internet users is Crowdsourcing. Instead of delegating large tasks to dedicated employees, the work is broken down into smaller jobs that can be accomplished independently and are distributed via marketplaces to a large number of online workers. On the one hand, the parallelization leads to a much faster achievement of the tasks. On the other hand, the approach helps to reduce the overall labor costs due to the inclusion of global workers of different salary expectations. Additionally, it further facilitates the flexible scaling of human crowd resources based on current demands, similar to technical cloud infrastructures.

Besides economic aspects, Crowdsourcing also offers a great opportunity for individuals from developing countries, as it introduces channels for safe and well-paid online labor. With its new possibilities for increasing productivity and redefining ways by which businesses carry out projects, Crowdsourcing is already successfully applied in various fields of traditional work, including text production, logo design, programming, and even research and development tasks. Furthermore, it also makes possible the cost-efficient and timely completion of vast numbers of so-called microtasks, which non-expert crowdworkers can complete within a few minutes and without any prior knowledge but which are impossible to perform using algorithmic means. Micro-tasks exhibiting interesting patterns and worker behaviors, for example labeling or tagging a set of objects, are utilized for machine learning and could be used in deep learning. The current approach to understanding crowdsourced human input is vital for the further development of machine learning models and approaches.

The rapid rise in the use of international platforms like Amazon Mechanical Turk (MTurk), Microworkers, and Crowdflower demonstrate the considerable growth of Crowdsourcing in recent years. Consequently, CrowdPrecision aims at combining the success of these traditional Crowdsourcing platform providers with the benefits of current developments in Blockchain Technology and using cryptocurrencies.

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