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Uli Erxleben

Founder & CEOHypatos GmbH

Berlin, Germany

Member Since December 2023

About

Entrepreneur with a strong track record in leadership, venture building, consulting and investing in the US and Europe. Dr. Ulrich Erxleben, after completing his studies at the University of St. Gallen in Accounting and Finance, earned his doctorate in Financial Sciences at the Technical University of Darmstadt. He worked for McKinsey & Company in both Berlin and Palo Alto. As the CEO of Rocket Internet SE, he spent a considerable amount of time in the USA. Later, he led the early-stage investments for ProSiebenSat1 SE. Since 2014, he has been in Berlin as the founder and CEO of Hypatos GmbH, specializing in process automation for the finance department. Hypatos GmbH develops machine learning software for the automation of document processing.

Published content

Decoding ESG Reporting: Navigating The Puzzle With AI Assistance

article

All it takes is an AI assistant and effective human/AI communication.

Demystifying Prompt Engineering For Finance Teams (Hint, Anyone Can Do It)

article

To successfully instruct your AI assistant, you need to provide relevant context and apply language in a very precise, logical way.

How Much Can You Trust Your AI Assistant? As Much As The Rest Of Your Team

article

There are many definitions of trust, but I believe two of the fundamentals include humanity and transparency.

Company details

Hypatos GmbH

Company bio

Balancing humans and machines to accelerate business. Hypatos adds value to critical business operations using third wave AI and advanced automation technologies for document processing. By replacing routine and complex tasks with intelligent solutions, we are unlocking human potential and reshaping the workplace. As AI agents manage administrative tasks efficiently, accurately and cost effectively, people focus on strategic decisions and designing innovative solutions to bring business to the next level.

Industry

Information Technology & Services

Area of focus

Deep learning
Data science
Artifical neural

Company size

51 - 200