Behavix, a Helsinki-based data infrastructure company, and MyTelescope, an AI-driven market intelligence platform based in Stockholm, have announced a strategic partnership designed to integrate consumer behavioral data with demand signal analysis. The collaboration marks a convergence of two complementary datasets that aims to provide marketers with faster, more actionable market insights.
Combining Two Data Sources for Richer Insights
The partnership brings together Behavix’s consent-based behavioral data sourced from over three million panelists with MyTelescope’s demand signals aggregated from 13 platforms, including Google, TikTok, Amazon and YouTube. This combination allows the companies to offer a unified view of both what consumers are searching for and who is actually purchasing or engaging with products and services.
According to Hannu Verkasalo, “Search tells you what the market wants. Behavior tells you who wants it, what they compare and what they do next. Put the two together inside the AI tools marketers already use, and you get something completely new: answers in seconds that used to take a research project and a quarter.”
Accessibility Through Familiar AI Tools
Rather than requiring marketers to adopt new software platforms, the partnership integrates the combined dataset into AI assistants that users already employ daily. The offering will be accessible through ChatGPT, Claude and Microsoft Copilot, allowing marketers to query consumer demographics, personas and competitive insights through natural language queries.
The partnership’s initial rollout will target the United States market, with expansion plans extending across Europe, Latin America and the Asia-Pacific region by 2027.
Broader European AI Market Momentum
The Behavix and MyTelescope partnership reflects growing momentum within the European startup ecosystem to build specialized AI applications addressing specific industry challenges. Rather than pursuing generalized artificial intelligence, European startups increasingly focus on vertical solutions that combine domain expertise with large language model capabilities.
The collaboration also demonstrates how Nordic tech companies continue to establish themselves as leaders in data analytics and AI-driven business intelligence. Both Finland and Sweden have developed strong ecosystems supporting data-focused enterprises, with numerous companies leveraging first-party data collection and advanced analytics to serve global markets.
As enterprises increasingly demand faster insights to remain competitive, partnerships that reduce time-to-intelligence while maintaining data privacy and consent standards represent a meaningful evolution in how market research is conducted. The integration into widely-used AI assistants sidesteps the traditional barrier of software adoption, potentially accelerating uptake among marketing teams already familiar with these tools.