Spanish Autentic AI raises €1.5M to accelerate AI-powered market research

Spanish AI startup Autentic AI has secured €1.5 million in pre-seed funding to bolster its AI-powered market research solution. Founded by Dani Diestre, Aniol Carreras, and Jacob Bamio, the company's platform conducts interviews with hundreds of consumers and experts simultaneously, cutting traditional market research time from weeks or months to mere days. Autentic AI's approach integrates AI-led interviews and data analysis with human researchers who interpret findings and provide context.

The technology addresses the high costs and limited frequency of traditional market research, which can hinder a company's ability to gather customer feedback regularly. By automating the research process, Autentic AI aims to make market research more accessible, enabling businesses to gather customer insights more frequently and make informed decisions.

Co-founder and co-CEO Dani Diestre noted that current market research can cost €100,000 and take three months, making it impractical for companies to conduct research frequently enough to stay ahead of market changes.

Autentic AI currently conducts approximately 1,000 interviews daily, with projections to surpass 400,000 by the end of 2026. The platform serves four key sectors: fast-moving consumer goods (FMCG), retail, pharmaceuticals, cosmetics, and strategy consulting and private equity. To ensure the reliability of its findings, Autentic AI collaborates with verified participants who are compensated for their time.

Each insight is backed by video evidence from interviews, allowing clients to review the responses behind the conclusions.

Moreover, the platform analyzes conversations to uncover patterns and connections, with results that can be segmented by attributes like age, region, or product usage. The recently raised capital will be dedicated to further automating Autentic AI's research process and constructing its own network of verified consumers and industry experts. This strategy aims to enhance research quality and reduce dependence on third-party panels.