The team from left to right: Fabian Beringer, Xaver Lehmann, Maximilian Gerer (© e-bot7)

E-bot7: Next level with six-figure seed financing

As lead investor, main incubator, together with other investors, has invested a six-figure sum in the AI startup e-bot7, founded in 2016. The contact came through the BayStartUP Financing network. Other investors include Wayra, the accelerator of Telefonica.

With the new investment round e-bot7 its technology and sales teams to improve the chatbot solution and help more companies integrate artificial intelligence into their customer service. In addition, the ChatbotNewsDaily, the largest chatbot network in Europe, and Chatbot Consulting units will be expanded to support more customers in the area of chatbots and artificial intelligence.

"We see a wide range of applications for e-bot7, with its innovative offering, in a wide variety of banking segments, especially when it comes to improving customer support. The team also completely convinced us: with startup experience, diverse expertise, and an innovative spirit."

says Julian Bürklein, investment manager of the main incubator.

The goal: to take e-bot7 to the next level

"The main incubator is a valuable asset as lead investor. Through its reliability and strong network, it has brought important co-investors on board, allowing us to take e-bot7 to the next level,"

says Founder Xaver Lehmann from e-bot7.

"The market potential of the chatbot system was assessed as very high during its presentation to our investor circle. Furthermore, the young team impressed investors in our angel meetings with its application and professional approach right from the start. We are pleased that, thanks to our joint, thorough preparation, we were able to help e-bot7 secure an investment from the BayStartUP financing network."

thinks Dr. Carsten Rudolph, Managing Director at BayStartUP.

Low implementation effort and first major customers

E-bot7 develops and integrates artificial intelligence and deep learning into existing CRM customer service systems. The young company's solution analyzes incoming messages, routes them to the appropriate department, and supports customer service representatives with suggested responses. This reduces the average processing time by up to 50 seconds. Repetitive and recurring inquiries are automated.

The first major customers in the telecommunications sector are already using the technology. The chatbot is already being used for external customer interactions via the customer website. The AI-based algorithm used is continuously being optimized.

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