Berlin-based startup Claro has raised €650,000 in pre-seed funding to enhance its AI-powered platform designed to clean up messy, unstructured data. The fresh investment will be used to expand the platform’s capabilities and introduce new features, making advanced AI solutions more accessible to businesses.
The funding round was led by Atlas SGR, an Italian venture capital firm, with participation from notable European early-stage investors, including Antler, Founders Factory, Fastweb, Plug & Play, and D11Z.
Claro was founded in 2024 by Matteo Fava and Tameesh Biswas, who set out to address a common challenge faced by businesses—working with outdated, fragmented, and inconsistent data. The company’s AI-driven platform helps organizations extract valuable insights, automate processes, and make better business decisions by transforming raw data into structured, actionable intelligence.
Fava and Biswas met during a founder residency program in Berlin, organized by early-stage investor Antler. Before launching Claro, Fava spent a decade shaping data strategy at Delivery Hero and previously held roles at Rocket Internet and Wolters Kluwer. Biswas, on the other hand, has a background in natural language processing (NLP) research, with his work published in leading journals such as the MIT Press. He also worked as a software developer at Yelp and Autodesk.
Claro’s platform is built on the premise that most businesses struggle with unstructured data, relying on spreadsheets, outdated systems, and inconsistent records. Without proper tools, classifying and extracting insights from this data can be both time-consuming and prone to errors. Claro aims to bridge this gap by offering AI-powered solutions tailored to each business’s needs, providing automation and valuable insights at scale.
According to the company, its technology enriches existing business data with external sources, improving the accuracy and reliability of AI-driven outputs. Unlike off-the-shelf AI models that often produce inaccurate or unreliable results, Claro’s approach focuses on refining and contextualizing data, making AI more effective for real-world applications.
Matteo Fava, co-founder of Claro, explains, “AI is evolving rapidly, but many solutions on the market fail to meet business needs. Models often hallucinate, lack data improvement mechanisms, and deliver inaccurate outputs. We solve this by enhancing existing data with external sources, making AI more actionable, accessible, and trustworthy for businesses.”
Investors backing Claro see strong potential in its approach. Christoph Klink, Partner at Antler, shares his enthusiasm for the company’s mission, stating, “Matteo and Tameesh bring a combination of technical expertise, deep AI knowledge, and experience in startup environments. They are building a solution that puts world-class AI into the hands of businesses, enabling them to make AI-powered decisions daily. Their work has the potential to benefit thousands of business owners, and we’re excited to support their journey.”
The new funding will be used to refine Claro’s AI models further and introduce new platform features such as automated onboarding and automatic model generation. By streamlining the adoption of AI-powered data management, Claro aims to empower businesses of all sizes to unlock the full potential of their data, ultimately driving better decision-making and efficiency.
As AI adoption continues to grow, Claro’s tailored approach to data structuring and analysis positions it as a key player in making AI more practical and effective for businesses. With strong backing from investors and a clear mission to solve real-world data challenges, the startup is poised to make a significant impact in the AI-driven business intelligence space.
