Galdera Labs Secures €1.5M Pre-Seed Funding

Key Takeaways

1. Galdera Labs, a Stockholm-based fintech startup founded by 3 ex-Klarna operators, has raised €1.5 million (~SEK 16 million) in pre-seed funding
2. The round was led by J12 Ventures, with participation from Antler and angel investors from Klarna, DeepL, Stripe, and Plata
3. The company targets a structural flaw in corporate finance: static, rebuilt-from-scratch spreadsheet models that cannot keep up with fast-moving business conditions
4. Platform development, reasoning infrastructure buildout, and customer rollout to early adopters including DeasyLabs, Unify, and Counsel

Quick Recap

Stockholm’s Galdera Labs officially launched on March 26, 2026, closing a €1.5 million pre-seed round to build what it calls “reasoning infrastructure” for corporate financial modeling. The announcement was published on the company’s official website at galderalabs.com and picked up across European tech publications including Tech.eu, Arctic Startup, and Nordic9. The raise positions Galdera at the intersection of AI and enterprise finance, targeting growth-stage companies where decision speed has outpaced legacy planning tools.

From Klarna’s Back Office to Venture-Backed Startup

The founding story of Galdera Labs is one of firsthand frustration turned into a product thesis. CEO Evan Rumpza, CFO Mattia Scolari, and CTO Giovanni Casula met while managing Klarna’s internal financial planning across 26 markets during the company’s most intense growth phase. The trio watched firsthand as Excel-based models fractured under the weight of rapid business change, forcing finance teams to constantly rebuild from zero rather than reason from a continuous knowledge base.

Their solution is a two-layer platform architecture. The first layer is a high-performance calculation engine capable of handling large data volumes. The second is a semantic memory layer that connects raw financial data directly to its underlying business context, including the assumptions and strategic decisions behind the numbers. This architecture allows CFOs to query financial models in plain language and simulate complex scenarios in minutes rather than weeks. Rumpza described the vision on LinkedIn as building “the last financial model a company will ever need”.

The €1.5M round was led by J12 Ventures, a Stockholm-based early-stage VC firm that focuses on pre-seed and seed investments in AI and data companies across the Nordics and Europe. Antler co-invested alongside a set of angels drawn from unicorn-tier companies including Klarna, DeepL, Stripe, and Banco Plata. Tobias Bengtsdahl, Partner at Antler, specifically cited the founders’ operational depth at Klarna as a key investment signal.

Why AI-Native FP&A is Heating Up Right Now?

Galdera Labs is not building in a vacuum. The global AI in Financial Planning and Analysis (FP&A) market was valued at approximately USD 240.6 million in 2024 and is projected to reach USD 4,766.4 million by 2034, growing at a CAGR of 34.8%. The broader FP&A software market stood at USD 4.38 billion in 2024 and is forecast to hit USD 11.67 billion by 2033, compounding at 10.3% annually. Europe specifically accounts for roughly 27% of the global market, with demand increasingly shaped by GDPR compliance and sustainability reporting requirements.

The timing of Galdera’s launch reflects a wider structural shift in enterprise software. Legacy FP&A tools built on spreadsheet foundations are losing ground to AI-native platforms that can do more than automate reporting. The next generation of finance software, as QED Investors noted in their 2026 predictions, involves AI-native players building from the ground up with forecasting and automation at their core. Galdera fits squarely into this thesis, with an early customer base that already includes DeasyLabs, Unify, and Counsel.

Over 120 active competitors currently operate in the global AI-powered FP&A market, but the top five players collectively hold only about 52% of total market share, leaving significant room for new entrants with differentiated architecture. European regulators and enterprise buyers are increasingly prioritizing explainable AI, with roughly 54% of European enterprises demanding transparency in AI-driven financial outputs. Galdera’s semantic memory layer, which preserves the reasoning behind each financial decision, aligns naturally with that compliance priority.

Competitive Landscape

Galdera Labs enters a market that includes well-capitalized incumbents and venture-backed challengers. The two most directly comparable players at the startup level are Runway (FP&A) and Mosaic, both US-based AI-native FP&A platforms that have raised significant rounds but target overlapping problems from different architectural angles.

Strategic Analysis

Galdera’s differentiated bet is the semantic memory layer: the platform retains the “why” behind financial decisions over time, making it more aligned with reasoning-intensive multi-market environments like Klarna’s. While Runway leads on integrations and time-to-value for founder-led teams, and Mosaic holds an edge in BI-style visualization for SaaS companies, Galdera’s institutional-memory approach targets a stickier, longer-term use case for CFO-led organizations with complex operational contexts.

TechnoTrenz’s Takeaway

I’ll be direct about what I think is happening here: this is one of the cleanest pre-seed stories I have seen come out of Europe in the first quarter of 2026.

In my experience covering early-stage fintech, the deals that hold up are usually the ones where the founders have the scar tissue to back the thesis. Evan, Mattia, and Gio did not read about FP&A pain in a market report. They lived it while managing 26 markets at one of Europe’s most demanding financial environments. That kind of grounding matters enormously at the pre-seed stage when there is no product-market fit to point to, only a compelling narrative and a credible team.