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GALDERA
AI-native financial modeling platform for growth finance teams
Last verified August 15, 2026 · Updated daily
What GALDERA is building
Every time a finance team's business conditions change, a new market opens, a pricing model shifts, or a fresh planning cycle starts, someone rebuilds the financial model from scratch. By the time it's done, the assumptions are already stale. The context that shaped last quarter's model, the decisions, the trade-offs, the reasoning behind the numbers, is gone, sitting in someone's head or buried in a version fourteen spreadsheet. Galdera is building the infrastructure that fixes this at the architectural level. The platform is structured around two integrated layers: a high-performance calculation engine capable of handling large volumes of financial data, and a semantic memory layer that links financial data directly to the business context, strategic decisions, and assumptions behind it. The result is a financial model that accumulates institutional knowledge over time rather than resetting each cycle. Finance teams can query the model in natural language, run complex scenario simulations in minutes, and get board-ready outputs where every assumption is traceable to its source. The company describes its goal as "the last financial model a company will ever need." Galdera is the Basque word for "question."
Why this matters
The reason AI has had limited impact in corporate finance is not a tooling problem. It is a context problem. Without a persistent foundation that connects financial data to the decisions and assumptions behind the numbers, even sophisticated AI models have nothing meaningful to reason from. They can process faster, but they cannot reason better. Galdera is building that foundation. The founding team is not operating from a theory of the problem. Evan, Mattia, and Gio lived it at Klarna, one of the most financially complex consumer fintech companies in Europe, managing FP&A across 26 markets simultaneously during a period of intense growth, capital raises, and IPO preparation. They built the internal system that replaced Klarna's static planning cycle with a continuously updated model, enabling three people to do work that previously required large analyst teams. That system became the direct blueprint for Galdera. J12 Ventures, the lead investor, is a Stockholm-based fund focused specifically on pre-seed and seed stage AI and data infrastructure companies. Their investment is a deliberate bet on the founding team's operational credibility, not just the market thesis. Antler co-invested, and the angel roster drawn from Klarna, DeepL, Stripe, and Banco Plata signals that the people who understand enterprise finance tooling from the inside see what Galdera is building.
Open roles at GALDERA
2 positions we're tracking. Roles are re-checked daily and removed when filled.
Hiring outlook
Very High. Pre-seed capital explicitly earmarked for platform development, engineering team expansion, and customer rollout. Three-person founding team with early customers already onboarded. Zero jobs anywhere.
Working at GALDERA
Since , GALDERA has built AI-native financial modeling platform for growth finance teams. The team is now people. For a AI company this size, the reality is opportunity to shape your role based on the company stage.
The majority of roles are in Stockholm, Sweden.
Frequently asked questions
How many jobs does GALDERA have open?
2 open roles at GALDERA, last checked April 2026.
Does GALDERA hire remotely?
GALDERA doesn't have remote openings at the moment. All roles are in Stockholm, Sweden.
What roles is GALDERA hiring for?
GALDERA is hiring across Engineering, Customer. The most recent opening is Founding Full-Stack / Platform Engineer.
How do I apply for a job at GALDERA?
Apply via the links above. For tips, read our guide on how to get hired at GALDERA.
Where is GALDERA based?
GALDERA is headquartered in Stockholm, Sweden.
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