
AudEERING
Leading company in the area of intelligent audio analysis.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
investor | €0.0 | round | |
* | N/A | Acquisition | |
Total Funding | 000k |
USD | 2019 | 2020 | 2022 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 15 % | - |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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AudEERING GmbH operates at the forefront of AI-driven audio analysis, specializing in technology that deciphers human vocal expressions. The company originated in 2012 as a spin-off from the Technical University of Munich (TUM), born from the AI research group of Professor Björn Schuller. The founding team, including CEO Prof. Dagmar Schuller, CTO Dr. Florian Eyben, and CSO Prof. Björn Schuller, leveraged decades of experience in phonetics, affective computing, and machine intelligence to build the company. Professor Schuller's extensive academic and research background in machine intelligence and signal processing at institutions like TUM and Imperial College London provided the scientific foundation for audEERING's mission to teach machines to listen. CEO Dagmar Schuller brings over 25 years of experience in AI, digital strategy, and IT law from roles at Ernst & Young and Hubert Burda Media, guiding the company's focus on human-centered AI applications. In March 2025, Agile Robots SE, a Munich-based provider of AI automation solutions, acquired a majority stake in AudEERING, aiming to enhance human-robot interaction by integrating AudEERING's vocal analysis capabilities.
The firm's business model centers on developing and licensing its proprietary B2B software products for voice and audio analysis. Revenue is generated through the provision of Software Development Kits (SDKs), Web APIs, and plug-ins, primarily through its core product, devAIce®. This technology enables clients to integrate sophisticated audio analysis into their own products and workflows. AudEERING serves a diverse client base across industries such as automotive, robotics, healthcare, market research, and capital markets, with notable customers including BMW, Huawei, and Ipsos. The company's solutions are designed for B2B clients seeking to gain deeper insights from audio data, whether for understanding customer sentiment, enhancing human-machine interfaces, or for clinical research.
AudEERING's main offering is a technology that analyzes audio signals by processing up to 7,000 acoustic parameters, covering elements like pitch, intonation, and speaking rate to interpret vocal expressions. Its flagship product, devAIce®, is a versatile tool available as an SDK, Web API, and a plug-in for platforms like Unity and Unreal, which allows for the real-time recognition of speaker states, moods, age group, and gender. Another key product is AI SoundLab, a web-based platform designed for researchers to conduct large-scale studies on vocal biomarkers, aiding in the early detection of health conditions like Parkinson's disease or COVID-19 with high accuracy. The technology distinguishes itself by moving beyond simple keyword spotting to analyze the nuances of vocal expression, using psychological models of arousal and valence to gauge emotional states such as excitement or irritation. This capability allows clients in sectors like market research and finance to obtain objective insights into customer desires and market sentiment that are not apparent from text analysis alone.
Keywords: voice AI, audio analysis, emotion recognition, affective computing, speech analytics, vocal biomarkers, human-machine interaction, market research AI, devAIce, AI SoundLab, conversational AI, speech processing, acoustic analysis, sentiment analysis, audio intelligence, digital health, robotics AI, automotive AI, Björn Schuller, Dagmar Schuller