Recogizer is a leading predictive analytics company for industrial and energy segments. Our cutting-edge analytics applications increase buildings’ energy efficiency, avoid machine downtime, and optimize industrial processes.
Specialists in artificial intelligence, we combine machine learning with engineering expertise. Our growing international team consists of computer scientists, mathematicians, physicists and engineers – all with significant knowledge and experience.
We work with companies in building automation, mechanical engineering, trade, and the energy industry. With our customers and strategic partners, we act nimbly and successfully in the market.
"Recogizer breaks new ground
to raise the energy efficiency of buildings to a new level, reducing machine downtime and improving equipment effectiveness.”
Founder and Managing Director
Managing Director Technology & Operations
Oliver Habisch is the visionary of Recogizer’s artificial intelligence and an expert on data-driven IoT solutions. Combining creativity with profound technological knowledge, Oliver created an innovative business model. He heads up research and product development and leads the team of data scientists and engineers.
Managing Director Marketing & Sales
Carsten Kreutze is a business economist and responsible for Marketing, Sales and Finance. He combines his extensive experience in building up companies, product development and marketing with a strong customer focus and growth orientation.
Lead Predictive Analytics
Ankur Srivastava is a data scientist and responsible for the development of the analytics framework and implementation of predictive analytics technologies. His sound knowledge of machine learning methods and pattern recognition models, make him the designated expert for our area of discourse.
Lead Predictive Control
Julian Schmidt is a data scientist and is responsible for the technology development of intelligent control applications based on machine learning methods. Together with his highly qualified team of data scientists, he brings tomorrow's adaptive algorithms into product form.
Dr. Jens Kahlen
Lead Solution Design
Jens Kahlen is an expert in the analysis, modelling and simulation of thermodynamic and chemical processes. He combines this knowledge with his experience in the optimization of industrial production processes and acts as a link between our customers and our data scientists. In the course of our solution design process he and his team ensure that our data-based IoT solutions are optimally adapted to our customers’ needs.
Lead AaaS Grid Computing Platform
Sven Ludwig is the lead IT architect and software developer. He is responsible for the architecture of the AaaS Grid Computing Platform. He uses state-of-the-art technologies for processing data streams and events and his 12-years of experience in planning, developing and operating business-critical applications (such as payment methods, online banking) and microservice-oriented architectures to provide a viable and agile platform.
Dr. Erekle Magradze
Lead Big Data Engineering & DevOps
Erekle Magradze has an experience of 8+ years with high throughput and high performance computing platforms. His expert knowledge in grid and distributed computing platforms is essential for building our reliable and scalable resilient platform with high level of automation and efficient monitoring of the infrastructure.
Senior Marketing Manager
Kerstin Fischer is a specialist in digital communication. She has many years of experience in social media and search engine optimization in an international environment. At Recogizer, she is responsible for marketing activities and online strategy.
Dr. Martin Weisgerber
Martin Weisgerber holds a doctorate in physics and is an expert in modeling and simulation of thermodynamic processes, as well as the analysis of fluid mechanic and electrodynamic systems. At Recogizer, he designs conventional physical models to merge them with our data-driven solutions.
Prof. Dr. Christian Bauckhage
Christian Bauckhage is a Professor of Media Computer Science and Pattern Recognition at the University of Bonn and represents the area of Multimedia Pattern Recognition at Fraunhofer IAIS. Christian is an expert in the areas of pattern recognition, data mining, and machine learning.