Causa Prima has completed a $10 million pre-seed funding round (equivalent to €8.6 million), led by Creandum with participation from Kfund, HelloWorld and Angel Invest, as well as prominent business angels linked to companies such as Qonto, Pennylane, SAP, ING, SoFi, Lidl and DeepMind.
The company, which is building the first agent-to-agent artificial intelligence (AI) network for B2B finance (business-to-business), claims this is the largest pre-seed round ever raised by a company in Spain.
At its core, the firm has launched a network that connects corporate buyers and suppliers within a single system, enabling AI agents to autonomously handle financial processes that previously required direct human involvement.
As a result, invoice disputes, internal approvals, payment term negotiations, and early payment requests are managed directly between AI agents in real time, and the platform already has more than 3,000 active users.
The next bottleneck in enterprise AI
The company argues that the adoption of AI agents is beginning to fundamentally transform entire corporate departments, as areas such as procurement, accounting, invoicing, and treasury increasingly rely on systems capable of executing tasks autonomously.
However, it warns that while these agents are being integrated into internal company workflows, the infrastructure connecting different companies is still designed for human-speed operations. Existing accounts payable and accounts receivable solutions were built to serve only one side of a transaction and do not create a direct link between both parties.
When disagreements arise, payments are delayed, or changes to terms are requested, the process breaks down and reverts to emails, phone calls, and human teams. Causa Prima aims to remove this friction by connecting buyers and suppliers within a single network so that AI agents can resolve issues, negotiate payments, and close agreements automatically.
In an industrial company with 5,000 active suppliers, a single disputed invoice today can trigger a chain of emails lasting weeks. With Causa Prima’s infrastructure, agents on both sides can resolve the conflict in seconds, under conditions that are optimal for both organizations.
Turning idle capital into an opportunity
The network also enables the capture of financial opportunities that were previously too complex to manage at scale.
One of the most significant examples is early payment discounts, where a supplier offers more favorable terms in exchange for receiving payment ahead of the agreed date.
Although this mechanism can generate millions of euros in value for large corporations, manual management across thousands of suppliers has traditionally limited its adoption.
This challenge is precisely what led Maex Ament to define the concept of “dynamic discounting” more than a decade ago, and Causa Prima now represents, according to the company, the natural evolution of that idea in an AI-driven context.
“We have spent the last 25 years building systems to move money between companies and discovered that the real problem was never within a company, but in the space between two organizations,” explained Causa Prima co-founder Maex Ament.
A team with global financial infrastructure experience
The company was founded by three professionals with extensive experience building financial infrastructure used by large corporations globally.
Maex Ament is the originator of the “dynamic discounting” concept and co-founder of Taulia, a platform later acquired by SAP.
He is joined by Henrik Gebbing, co-founder of Finoa, one of Europe’s leading institutional digital asset custody platforms, which has managed over €10 billion in assets.
The third co-founder is Philip Stanislaus, an enterprise security expert who has led more than 600 corporate security audits during his time at Oak Security.
Towards a world without fixed payment terms
Causa Prima’s long-term vision challenges and aims to eliminate concepts that have defined international trade for decades, such as 30-, 60-, or 90-day payment terms.
According to the company, these terms do not exist because they represent the most efficient option for buyers and suppliers, but because humans need time to process information, negotiate, and make decisions.
In an environment where both parties have AI agents capable of continuous negotiation, these delays become unnecessary, and each transaction can be closed automatically at the optimal moment and under the most efficient conditions for both organizations.
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