We raised €1.1M -
Read more
Written by: Peaky
Date: September 16th, 2026
We’re excited to announce that Peaky has raised €1.1 million in funding, led by JK Invest, with participation from imec.istart, Super Capital and a group of experienced business angels. The funding will help us accelerate the development of Peaky and what we believe is a fundamentally different way of thinking about financial planning.
After sixteen years in finance, there is one thing that still doesn’t make sense to our co-founder and CEO, Ser Cappelle: the business changes every day, but finance is often the last to know. A sales pipeline slows down, a customer churns, hiring gets delayed, pricing changes or an external factor suddenly affects the business. These things can have a material impact on the forecast long before they become visible in the financial numbers. Yet finance is still expected to explain what happened and tell leadership what comes next.
Over the years, FP&A software has made it much easier to build models, consolidate data and update forecasts. But most tools still operate within the same fundamental loop: something happens, the data eventually reflects it, finance sees it and the forecast gets updated. We can make that process increasingly fast, but whether the delay is four days or four minutes, we’re still waiting for the numbers.
We built Peaky to remove that waiting.
Peaky connects to the systems where the business actually operates, including accounting, CRM, HR and ERP, and uses that information to build a bottom-up financial model. Companies can go from connecting their systems to a working model in under an hour. From there, Peaky continuously follows what is changing across the business instead of waiting for the next reporting or forecasting cycle.
At the heart of this is our Signal Engine. It detects relevant internal and external changes, connects them to the assumptions behind the financial plan and calculates their potential financial impact before they hit the numbers. Instead of simply showing finance that a metric moved, Peaky helps answer the more important question: what does this change mean for the business and our forecast?
The result is a continuous, signal-based rolling forecast that moves when reality moves, not when the month closes. Leadership gets an earlier view of what is changing and where the business may be heading, while finance remains in control of the assumptions and decisions that ultimately make it into the plan.
Building the context behind the numbers
Making that possible required us to build something deeper than another forecasting layer. Behind Peaky sits what we call our assumption graph: a structured representation of the relationships between operational drivers, assumptions and financial outcomes.
A traditional financial model can tell you that revenue is expected to be €X. The assumption graph captures more of the reasoning behind that number: the customers, volumes, pricing, conversion, hiring capacity and other assumptions that produce it, how those assumptions relate to each other and what happens elsewhere in the model when one of them changes.
That graph becomes more valuable over time. Every signal, change and decision adds context and memory, allowing Peaky to build a richer understanding of how a specific business actually works. This is also where we believe the opportunity extends far beyond forecasting. AI agents can only make useful business decisions if they have real context: how the business works, which assumptions leadership is making, how different parts of the company influence each other and what the financial consequences of a decision might be.
Finance is the natural place to start because it sits at the intersection of almost every important business decision. But the infrastructure we are building is ultimately about understanding the business itself.
Finance is where we start. The whole business is where this goes.
Today, Peaky helps finance teams build their financial model, continuously detect changes and understand their impact before they fully show up in the numbers. Over time, our ambition is for the assumption graph to become a living context layer for the company: a shared understanding of how the business works that both leadership and AI can reason from.
The €1.1 million round gives us the fuel to accelerate that vision. We’ll continue expanding our Signal Engine, deepening the assumption graph, adding integrations and bringing Peaky to more finance teams.
Most importantly, we want to thank our customers who are building this with us, our investors who saw the opportunity early, and the team turning an ambitious idea into a real product.
We’ve spent enough time making the old way of forecasting faster. We think it’s time to remove the waiting altogether.
