DervalResearch has launched MapShake®, an innovative application harnessing NeuroAI to enhance local market research through the use of interactive maps. The tool is designed to assist businesses in identifying and visualizing consumer insights by integrating neuroscience, machine learning, and geospatial analysis. It targets professionals in fields such as retail, FMCG, and marketing, including Category, Innovation, Brand, Product, and Marketing Managers.
MapShake® expands DervalResearch’s portfolio, which already includes tools like product selectors and sensory geomaps. This new application provides a means to examine local market conditions and consumer preferences beyond traditional research methods. Users can input specific business questions into the system, which utilizes a proprietary machine learning engine to analyze patterns and deliver results via an interactive map. These insights can be tailored to specific regions, sub-regions, products, and consumer personas, offering applications like evaluating retail locations and identifying unmet consumer demand.
The development of MapShake® is grounded in Prof. Diana Derval’s expertise in neuroscience and consumer insights, with inputs from the DervalResearch team and feedback from end-user co-creation processes. The platform incorporates deep learning and embedding space models to replicate analogy-based reasoning, aiming to provide an intuitive user experience while minimizing inaccuracies.
MapShake® also emphasizes geographical accuracy, utilizing an equal-area projection for its world map, developed with guidance from Johan Bremer, a cartography expert associated with TomTom and HERE Maps. This attention to detail ensures the platform accurately represents the relative sizes of continents, enhancing the reliability of its spatial analyses.
The application will be showcased at the 2026 Neuromarathon organized by AINEM, with Prof. Derval presenting its capabilities in developing consumer and market insights through a Neurosciences x Machine Learning methodology. A demonstration version is available on DervalResearch’s website.
MapShake® complements DervalResearch’s existing NeuroAI products, including Mixshake®, which focuses on product and packaging analysis. Together, these applications aim to streamline decision-making across product development, marketing, and market expansion.
Reflecting a commitment to responsible artificial intelligence, DervalResearch asserts that its practices surpass the EU AI Act requirements, maintaining its B Corp™ certification. The launch of MapShake® underscores the company’s dedication to combining technological innovation with neuroscience and ethical business practices 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.
