DervalResearch has launched MapShake®, a new application powered by NeuroAI, designed to revolutionize local market research through interactive maps. This tool integrates neuroscience, machine learning, and geospatial analysis to provide businesses with consumer insights that are often overlooked through traditional methods. It particularly targets Category, Innovation, Brand, Product, and Marketing Managers across industries such as retail and FMCG.
MapShake® is an expansion of DervalResearch’s existing suite of neuromarketing and AI solutions, which includes tools for product selection, consumer profiling, and sensory geomaps. This new application allows users to pose specific business questions, which are then analyzed by MapShake®’s proprietary machine learning engine. The results are displayed on an interactive map, offering insights into regional market conditions and consumer preferences. Potential uses include evaluating retail locations, understanding regional product preferences, and assessing market strategies.
The development of MapShake® is anchored in Prof. Diana Derval’s expertise in neuroscience and consumer insights, combined with input from the DervalResearch team and user feedback. The platform employs deep learning and embedding space models to mimic analogy-based reasoning, aiming to provide accurate and intuitive insights. The application also emphasizes geographical precision, using an equal-area projection to accurately represent continent sizes, guided by cartography expert Johan Bremer.
MapShake® will be showcased at the upcoming Neuromarathon 2026, organized by AINEM in Italy on November 20, where Prof. Derval will demonstrate its capabilities in deriving market and consumer insights through a blend of neuroscience and machine learning. A demonstration version is currently available on DervalResearch’s website.
This new addition complements DervalResearch’s NeuroAI product lineup, which includes Mixshake®, a tool focused on product and packaging analysis. While Mixshake® aids in product-related decisions, MapShake® is intended to facilitate understanding of local market dynamics and consumer behavior, supporting quicker decision-making processes in marketing and market expansion.
DervalResearch’s launch of MapShake® aligns with its commitment to responsible AI practices, exceeding the standards set by the EU AI Act. The company maintains its B Corp™ certification, affirming its dedication to ethical business practices while advancing AI innovations in consumer research and geographic 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.