Cleo Labs is seeking to redefine how companies manage regulatory compliance, unveiling an artificial intelligence platform designed to convert fragmented global regulations into structured, actionable data for product and compliance teams.

The Paris-based start-up has raised €1.5 million in early-stage funding to accelerate development and expand its commercial footprint, as demand grows for tools that can keep pace with increasingly complex and fast-evolving regulatory environments.

Cleo Labs’ funding round was led by Larry Berger, with participation from Kima Ventures, Financière Saint-James, and several prominent figures from the technology ecosystem.

The company also gained additional visibility after winning the regional final of The Pitch by Deel at Station F, securing further funding and access to an international final in Dubai.

What you need to know 

Founded in 2023 by Naomie Halioua, an engineer from École Polytechnique, and Anaëlle Guez, a Sorbonne and Panthéon-Assas graduate and former Chief Transformation Officer at Havas, Cleo Labs is positioning itself at the intersection of AI, compliance, and industrial processes.

One of the central challenges in the space is not access to information, but its usability. Cleo Labs aims to bridge this gap by transforming regulatory data into structured outputs such as compliance checklists, impact analyses, and ongoing monitoring tools.

This enables companies to generate compliance frameworks upstream, reducing the risk of costly errors such as product recalls, financial penalties, or supply chain disruptions.

“Our ambition is to transform regulatory compliance, currently perceived as a constraint, into a strategic lever for companies. Thanks to AI, it becomes possible to anticipate rather than endure,” explains Naomie Halioua, co-founder of Cleo Labs. Compliance is thus no longer conceived as a final filter, but as a forward-looking tool integrated into development cycles.

Tackling the complexity of global regulation

For multinational companies, navigating regulatory requirements across jurisdictions remains a costly and time-consuming challenge. Regulatory information is often dispersed across thousands of authorities, published in varying formats, and subject to frequent updates.

Cleo Labs’ platform is built to address this fragmentation. At its core is MARIA, a multi-agent AI system capable of continuously monitoring more than 25,000 regulatory authorities across 106 countries.

Rather than simply aggregating information, the system contextualises regulations based on specific products and markets, extracting operational requirements that can be directly applied within business processes.

The result is a shift from passive compliance, where companies react to regulatory changes to a proactive model that anticipates and integrates requirements earlier in the product lifecycle.

Balancing automation with accountability

Despite advances in artificial intelligence, regulatory compliance remains a high-stakes domain where accuracy is critical.

Errors can have significant legal and financial consequences, making full automation a risk for many organisations.

Cleo Labs addresses this through a hybrid “human-in-the-loop” model, where outputs generated by its AI system are validated by legal experts. This approach is designed to ensure reliability while maintaining scalability, a balance that remains a key challenge across the RegTech industry.

The company argues that this combination of automation and expert oversight is essential for building trust and enabling adoption at scale.

Towards compliance as infrastructure

With its latest funding, Cleo Labs plans to accelerate both technological development and market expansion, with the long-term goal of embedding compliance directly into industrial workflows.

The company’s broader vision is to reposition compliance from a reactive obligation into a proactive, strategic function, one that informs decision-making from the earliest stages of product design.

As regulatory complexity continues to intensify globally, experts say solutions that can translate legal requirements into operational intelligence are likely to become increasingly indispensable.

For Cleo Labs, the challenge now lies in scaling its platform while maintaining the precision and reliability required in a domain where the cost of error remains high.

Talking Points

It is notable that Cleo Labs is tackling one of the most complex and often overlooked challenges in global business by turning fragmented legal information into structured, actionable data.

This approach shifts compliance from a reactive, last-minute process into a proactive function embedded within product development, which could significantly reduce costly errors such as recalls or regulatory penalties.

At Techparley, we see this as a critical evolution in the RegTech space, where the real value lies not just in access to information, but in making that information usable for operational decision-making.

The use of a multi-agent AI system like MARIA to monitor over 25,000 regulatory bodies highlights the scale of the problem and the need for automation in managing global compliance complexity.

Equally important is the “human-in-the-loop” model, which reflects a realistic understanding that full automation in high-risk regulatory environments is not yet sufficient without expert validation.

As Cleo Labs scales, there is a clear opportunity to deepen enterprise partnerships, particularly with manufacturers, retailers, and global supply chain operators navigating multi-jurisdictional regulations.

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