Berlin-based live interaction analysis and training startup i2x has secured a €10 million in a Series A funding round. The funding round was led by UVC Partners and btov Partners. Companies such as MS&AD Ventures, Asgard, and HV Holtzbrinck Ventures also participated in the funding round.
The AI martech startup offers speech recognition solution for the English and German language with advanced artificial intelligence training technology. The company also won Red Herring Awards recently under the software category. The Red Herring 100 Awards is known for its selection process, involves the company to consider 20 criteria points based on scalability and number generations.
How does i2x work?
The speech recognition technology allows users to decipher complex conversations in real-time using AI. Moreover, its AI technology automatically generates training units in real time which further assist call center agents and sales representatives, to better-up their conversion rate, enhance customer satisfaction, and reduce the training period.
More specifically, the AI gathers information on the user’s speaking style, such as loudness, speaker ratio and the use of filler words and gives the user a personalised, instant feedback during and after every call.
Market response
Founded in 2017 by Michael Brehm, i2x experienced exponential growth and generated major clients including companies such as Vodafone, Siemens and the e-health startup MediDate.
i2x- shaping up tomorrow’s workspace
Talking about the startup, Managing Partner at btov Partners, Dr. Jochen Gutbrod stated, “The software makes it possible to combine the strengths of people with the advantages of modern technology and thus makes an important contribution to shaping the working world of tomorrow. btov Partners is pleased to accompany i2x on its way”. As of now, i2x’s team has a headcount of 40 employees.
Where will the funding get utilised?
The latest funding will be used to further develop its software. Till date, the startup has received a total funding of €14.3 million.
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