Bootstrapped & organically grown

CeleraOne, headquartered in Berlin Mitte, is one of the most interesting high-tech startups in Germany. A growing team of highly motivated, experienced mathematicians and software engineers develops efficient solutions to analyse and manage Big Data in real-time.

We deliver complex IT projects on time.
We work closely with our clients to seamlessly integrate our products with their existing infrastructure. Our team is exceptionally well connected and cooperates with renowned experts from various fields in information technology and in the steel industry.

Our technology is built for performance, scalability and the reduction of operating costs. We integrate all relevant data sources. We connect with conventional enterprise solutions and free valuable business data from information silos.

Management Team

Dr. Falk-Florian Henrich
(Founder CeleraOne)

Ph.D. (Mathematics), M.Sc. (Mathematics), M.Sc. (Computer Science)

Prior to founding CeleraOne, Falk served as a lead developer for large-scale recommender engines, anti-spam and real-time fraud detection systems at VZ Networks. Falk worked also as a machine learning engineer for Recommind, Inc., a leading e-Discovery provider. Before that, Falk worked on machine learning and differential geometry of loop spaces at TU Berlin. He wrote his first program in 1988 on a Robotron KC 85/1 and started learning C++ in 1997.

Moritz Hilger
(Founder CeleraOne)

M.Sc. (Computer Science)

Prior to founding CeleraOne, Moritz served as an algorithm engineer at TomTom developing and optimising routing algorithms and backend software systems. Before joining TomTom, Moritz conducted research in the field of combinatorial optimisation at TU Berlin. He holds several patents on accelerated route planning systems. Moritz has been programming since 1995 and started C++ development in 2005.

Tim Eggert
(Founder CeleraOne)

M.Sc. (Computer Science)

Prior to joining CeleraOne, Tim served as a system architect at Searchmetrics, a leading expert in search analytics. He also worked as a backend software developer and system operator for highly scalable systems at VZ Networks. Tim has been programming since 2000 and writes C++, Python, JavaScript fluently.

Sven Wittenberg
(Head of Project Management CeleraOne)

M.Sc. (Psychology)

Prior to joining CeleraOne, Sven served as team lead, project management at Immobilien Scout GmbH and as head of project management at VZ Networks. At the latter companies he coordinated an IT project portfolio in an agile environment. Before joining VZ Networks he worked in classic project management for Assure Consulting, cross-industry throughout Germany. Sven was introduced to project management as a student worker for third-party funded projects at Humboldt University Berlin, which were carried out together with DaimlerChrysler and Bosch, among others. The main focus of his studies was organisational psychology and engineering psychology (usability).

Michael Gernandt
(Head of Product Management CeleraOne)


Prior to joining CeleraOne, Michael served as product management lead for vendor commercialisation at Immobilien Scout GmbH. Michael also worked as a product manager at VZ Networks and was responsible for platform-wide solutions such as rating service, recommendation service, features for spam detection and chat service. Previously, Michael served as a member of the management board of a company, as well as key account manager and project manager for software projects. Michael started his career as SAP consultant and programmer of data transformation components in VBA and ABAP in SAP migration projects. Michael is a certified Scrum Master and Scrum Product Owner.

Dr. Kai Labusch
(Senior Machine Learning Engineer CeleraOne)

Dr. rer. nat.

Prior to joining CeleraOne, Kai Labusch was a co-founder of nik where he implemented digital image improvement algorithms in C++.
He returned to research where he invented new machine learning methods and applied them to industrial signal-processing and pattern-recognition-problems.
During that time, he worked on unsupervised methods, as for instance, algorithms that learn sparse codes adapted to a particular classification problem,
as well as on supervised methods, as for instance, algorithms for the maximum-margin classification problem, i.e., support-vector-classification.
After his time in research, he became a C++ developer and adapted algorithms from bioinformatics to natural language processing problems.

We look forward to presenting our solution to you