
Glaut
Helpinh businesses uncover qualitative insights through conducting in-depth customer interviews.
Date | Investors | Amount | Round |
---|---|---|---|
* | $1.4m | Seed | |
Total Funding | 000k |
EUR | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | 27 % | (15 %) | 2 % |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
% profit margin | 31 % | 26 % | 26 % | 10 % |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article
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Glaut is an AI-native customer research platform designed to help companies collect, analyze, and act on customer feedback at scale. Founded in late 2023 by Matteo Cera, Giovanni Del Gallo, and Niccolo Valerio, the company aims to bridge the gap between quantitative and qualitative research. CEO Matteo Cera, a former McKinsey consultant and serial entrepreneur, brings a background in strategy and tech to the market research industry. The company was started to address the limitations of traditional quantitative surveys, which often lack the depth to explain the reasoning behind customer responses.
The firm operates on a software-as-a-service (SaaS) business model, targeting B2C brands and market research agencies. In April 2024, Glaut secured $1.4 million in a pre-seed funding round led by Italian Founders Fund, with participation from several other venture capital firms and angel investors. This capital is intended to expand the product and tech teams and develop solutions for various market research needs. The company has already attracted notable clients, including Condé Nast, AutoScout24, and Mondadori Media, as well as research agencies like Altum Insights and Marketagent.
Glaut's core offering is a platform that conducts AI-Moderated Interviews (AIMIs) at scale. This technology facilitates in-depth, open-ended conversations via voice or text, allowing customers to provide detailed feedback on brands, products, and experiences in over 50 languages. The platform is designed to be as user-friendly as a standard online form but captures the depth of a one-on-one interview by asking personalized follow-up questions. It then synthesizes the responses into actionable insights, performing tasks like thematic coding and interpretative analysis in real-time. This allows researchers to go from outlining a study to having actionable insights within hours, at a lower cost than traditional human-led interviews. The system can be used for various research applications, including brand perception, ad testing, concept viability, and customer experience analysis.
Keywords: customer research, AI-moderated interviews, market research platform, conversational surveys, qualitative data, customer feedback analysis, B2C brand insights, AIMI, automated qualitative research, verbatim coding, brand perception studies, ad testing, concept testing, customer experience, lead qualification, voice interviews, AI research tools, real-time insights