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i2x

Voltastrasse 5, Berlin, 13355, Germany

Overview

i2x offers an AI-powered platform that analyses and transcribes complex multilingual conversations in real time (under 0.5 seconds) to provide personalised recommendations, training content and live coaching to customer advisors and agents. The software delivers live feedback to optimise sales and service conversations and the company cites metric uplifts including up to 70% higher revenue generated by supported employees, ~15% increased employee satisfaction and ~30% higher customer satisfaction. i2x has recorded 400% growth in both customers and revenue in the past 12 months and holds over ten patents related to audio interface systems, accent/dialect processing, speech/audio data modification and anonymisation. The company plans to use the new funds to accelerate product development and expand its partner network, and intends to invest €100M in expanding its proprietary technology by 2027. i2x also plans to host one of the largest private investment programmes in AI in Europe. The company named Stefan Walther, previously CTO, as Managing Director to drive continued internationalisation and a sustainable growth strategy. i2x provides an AI-powered speech recognition platform that analyzes conversations in real time and produces training units to improve the skill set and productivity of sales and customer support agents. As a communication companion, the platform enables users to record every call for later playback and delivers feedback after each call using a combination of machine learning algorithms, big data and communication know-how. The solution is compatible with most VoIP and CRM systems and can be set up in a few minutes. The company is led by founder Michael Brehm and is based in Berlin, Germany. It currently employs approximately 40 people. In January 2019 i2x raised €10m in funding.

Total raised
$23M
Funding rounds
2
Latest round
Equity
Latest activity
Jul 2022

Industries

  • Artificial Intelligence (AI)
  • Information Technology
  • Internet
  • Machine Learning
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Recent funding

  1. Equity

    Jul 2022

    $11M

  2. Series A

    Mar 2019

    $11M

Team