The transaction comes a few months after Swiftask was selected last June for the French Tech Scale Up Excellence program, which annually recognizes French startups based on their growth potential.
The real challenge for executive leadership in 2026: governing, not just deploying
Beyond the announcement, this fundraising round reflects the current state of the market. AI spending by French companies reached €1.78 billion in 2024—still a modest figure relative to stated ambitions. Today, 45% of companies report prioritizing their investments toward artificial intelligence.
Yet scaling up reveals a challenge that few organizations had anticipated. After the experimentation phase—a handful of conversational assistants, isolated use cases led by enthusiastic teams—comes the industrial phase. And this does not raise a technological question, but an organizational and management one.
For organizations crossing this threshold, four key challenges consistently emerge: establishing clear governance to oversee the creation, accountability, and lifecycle of AI agents; ensuring the security, sovereignty, and traceability of business data; supporting users to drive genuine adoption; and finally, evolving business processes by deeply integrating these agents—rather than merely juxtaposing them—to generate real value. — For organizations crossing this threshold, four key challenges consistently emerge: establishing clear governance to oversee the creation, accountability, and lifecycle of AI agents; ensuring the security, sovereignty, and traceability of business data; supporting users to drive genuine adoption; and finally, evolving business processes by deeply integrating these agents—rather than merely juxtaposing them—to generate real value.
In other words, companies will have to learn how to jointly manage human employees and AI agents. This is a new skill, for which the tooling largely remains to be built. — In other words, companies will have to learn how to jointly manage human employees and AI agents. This is a new skill, for which the tooling largely remains to be built.
Independence as a selection criterion (ou Independence as a key criterion)
On this front, technological dependency has become a central consideration in investment decisions. The market's concentration around a few American players is leading a growing number of organizations—both public and private—to include control over their AI supply chain among their selection criteria.
Swiftask has built its positioning on this very point: a European-hosted, Cloud Act-proof, and model-agnostic platform providing access to more than 80 different AI models. In practice, this makes it possible to choose the right model for each use case—balancing cost, performance, and confidentiality levels—without having to rebuild agents every time a model changes.
This is a deliberate architectural choice: ensuring that AI adoption does not lead, three years down the line, to vendor lock-in that is difficult to break.
Where the platform stands
Launched in late 2024, the SaaS platform for structuring and deploying AI agents now supports over a hundred clients, with an active fleet of 14,000 AI agents. It provides access to more than 80 AI models within an environment hosted in Europe and Cloud Act-proof.
Among the organizations using the platform are the Pays de la Loire Region, Priméale, Groupe Bernard, and Mie Câline—a portfolio spanning the public sector, the agrifood industry, retail, and manufacturing.
What the funding will finance
The €1.55M will be allocated toward commercial development across four key areas:
First, strengthening the direct sales team in France. Second, rolling out a network of distribution partners in France and across several prioritized European and African markets: Germany, the Netherlands, Belgium, North Africa, and Madagascar. Third, executing a sustained digital marketing action plan. Finally, expanding event presence, with participation in major national and international trade shows, notably Web Summit and VivaTech.
The stated goal is to double business activity every six months through the end of 2028.
“"The real value of AI in the workplace comes from deploying AI agents in service of employees and business processes. Tomorrow, companies will manage more AI agents than human staff. This is the vision supported by SWIFTASK with its platform to build, orchestrate, and govern these agents for organizations. In an exploding market, our ambition is to reach €4M in annual revenue within two years."”Matthieu Lardillet, CEO and Co-founder of SWIFTASK
Going further: five questions to ask before scaling up
Whether you work with Swiftask or not, these questions deserve to be addressed before industrializing your AI initiatives: — Whether you work with Swiftask or not, these questions deserve to be addressed before industrializing your AI initiatives:
Do you know how many AI agents or assistants are truly active in your organization today?
Does each agent have an identified business owner, beyond the IT department?
How long would it take you to switch model providers?
Are you able to trace what an agent produced, for whom, and using which data?
Do you measure actual adoption, or merely the number of agents created?
The answers to these five questions paint an accurate picture of an organization's maturity when it comes to AI governance. — The answers to these five questions paint an accurate picture of an organization's maturity when it comes to AI governance.