About us
Every AI model is hungry for the same thing — structured, real-time data. We build the pipes that feed it.
With deep knowledge of how reports are structured across Europe and Asia — and how disclosures shift quarter to quarter — years of reading earnings have given us a sharp understanding of financial metrics, the rhythm of the analyst earnings cycle, how portfolio managers think, and what their workflows actually demand.
The team
Built by investors, for investors.
Our Story
Started in Gothenburg, after realising how much data needed to be analysed — and how little tooling existed to do it well.
Equity Language was born from the frustration of modern financial analysts. We saw brilliant minds spending 80% of their time on data collection and 20% on actual thought. We're here to flip that ratio.
As stock enthusiasts with over a decade of experience navigating European capital markets, we saw a structural gap: world-class AI tools existed, but none were built with the compliance, data residency, and workflow requirements of European institutions in mind. Bloomberg and FactSet were expensive, slow to adapt, and US-centric.
So we built EQL — an AI-native financial data infrastructure platform designed from day one for the European market. GDPR-compliant, DORA-ready, and priced at a fraction of the incumbents. Today EQL serves sell-side and buy-side teams across the Nordics and beyond, with structured investor relations data on 25,000+ public companies and a research workflow platform that turns hours of work into minutes.

