DervalResearch has unveiled a new application, MapShake®, that leverages NeuroAI to revolutionize local market research through interactive maps. The platform integrates neuroscience, machine learning, and geospatial analysis to help businesses uncover hidden consumer insights and patterns. It targets professionals in categories such as innovation, branding, product management, and marketing, particularly those in retail and FMCG industries.
MapShake® builds upon DervalResearch’s existing expertise in neuromarketing and artificial intelligence, expanding their portfolio that includes tools like product selectors and sensory geomaps. This application allows users to input business questions, which are then analyzed by a proprietary machine learning engine to reveal relevant patterns. The results are displayed on an interactive map tailored to specific regions, products, or consumer profiles. Potential uses include evaluating retail sites and understanding regional product preferences, as well as assessing market strategies.
According to Prof. Diana Derval, Chief Investigator at DervalResearch, the platform combines neuroscience with machine learning to pinpoint the variables impacting business outcomes. The development of MapShake® involved deep learning and embedding space models to emulate analogy-based reasoning. The process incorporated Prof. Derval’s neuroscience expertise, guidance from the research team, and feedback from end-users, ensuring a user-friendly experience while minimizing errors.
Geographical accuracy is a key component, with MapShake® using an equal-area projection developed from Natural Earth data under the guidance of cartography expert Johan Bremer. This ensures a more accurate representation of continent sizes on the world map. The application will be showcased at Neuromarathon 2026, organized by the Italian Neuromarketing Association, where Prof. Derval will present on the intersection of neuroscience and machine learning in deriving consumer insights.
In addition to MapShake®, DervalResearch offers Mixshake®, their flagship application for product consistency analysis. Together, these tools aim to expedite decision-making in product development and market expansion. The launch of MapShake® also highlights DervalResearch’s commitment to responsible artificial intelligence, surpassing EU AI Act standards and maintaining its B Corp™ certification. Through innovations like MapShake®, DervalResearch continues to merge technology with neuroscience to foster ethical business practices and insightful market analysis.
About DervalResearch
DervalResearch is a pioneering research firm using neurosciences and machine learning to decode human behavior and preferences. People are rational, they just have a very different perception. Personas’ decisions seem to just come down to culture and emotions but are in fact deeply rooted in their very own physiology, microbiome, sensory perception, and hormonal makeup, and can therefore be anticipated and better targeted. DervalResearch’s flagship NeuroAI-powered tools—MapShake® for generating deep local insights and Mixshake® for checking the product mix—equip global teams to make the right moves. With non-invasive yet powerful predictive tools like the Hormonal Quotient® (HQ), or the Derval Color Test, our neurodiverse team of scientists and designers help organizations seize business opportunities, increase their innovation hit rate, and develop planet and people-friendly experiences from Paris to Space. DervalResearch is a re-Certified B Corp™, meeting high standards of verified social and environmental performance, accountability, and transparency.
Contact:
Prof. Diana Derval, PhD
Chief Investigator
DervalResearch
Whatsapp/mobile: +31 644 34 9220
Email: [email protected]
Prof. Diana Derval, PhD
DervalResearch
+31 6 44349220
Legal Disclaimer:
The information contained in this article has been provided by independent third-party contributors, clients, or content partners. We do not independently verify the accuracy, completeness, legality, ownership, licensing, or reliability of submitted content, including text, images, videos, trademarks, or other media materials. The submitting party is solely responsible for ensuring that all content, including images and media assets, complies with applicable copyright, trademark, licensing, and intellectual property laws. We disclaim liability for any unauthorized use of copyrighted or proprietary materials by third parties. If you believe that any content published on this platform infringes your intellectual property rights, kindly contact the author above for prompt review and resolution.