Stockholm based Galdera Labs has officially launched with €1.5 million in pre seed funding, aiming to transform how finance teams build, maintain, and interpret financial models. At a time when businesses are navigating constant change and increasing complexity, the company is introducing a new approach that replaces static spreadsheets with continuously evolving, AI powered systems.
Backing from Experienced Investors and Operators
The funding round was led by J12 Ventures, with participation from Antler and a group of angel investors with experience at companies such as Klarna, DeepL, Stripe, and Plata. This mix of backers reflects strong confidence in Galdera’s vision to modernise financial infrastructure.
Solving the Problem of Disposable Financial Models
Finance teams today often face a recurring challenge: financial models are frequently rebuilt from scratch whenever assumptions or business conditions change. This leads to fragmented workflows, inconsistent data, and outdated insights that can hinder decision making.
Galdera Labs is addressing this issue by creating systems where financial models are not treated as disposable tools but as evolving assets that grow alongside the business. By maintaining continuity and context, the platform aims to provide more accurate and meaningful financial insights over time.
Founders Bring Proven Experience
The company was founded by Evan Rumpza, Mattia Scolari, and Giovanni Casula, who previously worked together at Klarna. During their time there, they managed financial planning across 26 markets during a period of rapid expansion.
To handle the complexity of scaling operations, the team developed an internal system that replaced traditional planning cycles with continuously updated models. This allowed a relatively small team to support large scale financial operations efficiently, laying the foundation for what would become Galdera Labs.
Introducing Reasoning Infrastructure for Finance
At the core of Galdera’s platform is what the company describes as “reasoning infrastructure.” This approach combines a high performance calculation engine with a semantic memory layer that connects financial data to business context, assumptions, and strategic decisions.
Unlike traditional tools that focus solely on calculations, Galdera’s system captures the reasoning behind financial outcomes. This enables models to remain continuously updated while preserving the logic and context that drive changes.
Such an approach is expected to significantly enhance the role of AI in finance, allowing systems to interpret data more effectively and provide deeper insights.
Natural Language and Scenario Simulation
The platform is designed to be intuitive and accessible, enabling finance teams to interact with models using natural language queries. This reduces the complexity of working with financial data and allows users to quickly generate insights without needing advanced technical expertise.
In addition, Galdera supports efficient scenario simulation, enabling teams to test different business strategies and outcomes in real time. This capability is particularly valuable for fast growing organisations that need to adapt quickly to changing market conditions.
Targeting High Growth Organisations
With its initial launch, Galdera is focusing on fast growing companies with complex operations, where traditional financial tools often struggle to keep pace. These organisations require dynamic systems that can handle rapid changes while maintaining accuracy and clarity.
By offering a platform that evolves with the business, Galdera aims to become a critical tool for modern finance teams.
Building the Future of Financial Planning
The newly raised funding will be used to further develop Galdera’s AI driven platform, expand its reasoning infrastructure, and support its rollout to early customers. As the company grows, it plans to refine its technology and scale its impact across a wider range of industries.
Galdera Labs represents a shift in how financial modelling is approached, moving away from static spreadsheets toward intelligent systems that combine data, context, and reasoning. With strong foundations and a clear vision, the company is poised to redefine financial planning for the next generation of businesses.
