The Challenge

Official statistics tell you what already happened, months or years after the fact. Business Finland needed a way to see technology-sector activity as it's forming: what industry voices are actually saying right now, what leading companies are doing differently, where R&D is shifting, and where investment is moving, across dozens of fast-moving technology areas, using signals that never make it into traditional reporting.

The Solution

Headai built a set of technology-area agents ("Growth Agents"), each covering one of 20 technology categories and drawing on terabytes of raw data from news, research publications, investment activity, and job postings. Each agent tracks four things continuously: what industry influencers are saying and how the conversation is shifting, what leading companies are doing and how their behavior is changing over time, where R&D trends and early signals are emerging, and where investment levels stand and which direction they're moving.

What makes this different from a standard dashboard is the semantic layer underneath it. Instead of four disconnected views with mismatched vocabularies, all four data types (news, research, investment, jobs) are converted into one normalized skills language, at the same level of granularity. That consistency is also what lets the agents run on frontier LLMs without hallucination: because the underlying data speaks one language, the models aren't forced to reconcile clashing terms or drown in oversized context.

The Promise

The result is insight grounded in real-world activity, not lagging statistics, and every insight is traceable back to its original source. Users don't have to take the analysis on faith or wonder where a claim came from; they can follow it back to the actual document, listing, or publication behind it.