Galtea Raises €2.7M for AI Testing Platform

Barcelona-based AI evaluation specialist, Galtea, has successfully closed a €2.7 million Seed funding round to accelerate its mission of enabling reliable AI agent deployment. The investment was spearheaded by German venture capital firm 42CAP, with significant backing from Mozilla Ventures. Existing investors, including JME Ventures, Masia, and ABAC Nest Ventures, also participated, bringing the company's total raised capital to €3.5 million since its inception in 2024.

The critical need for robust AI testing is underscored by the estimated €11.2 billion annual cost incurred by companies in Europe and the US due to inadequate AI validation. Galtea addresses this market gap by providing generative AI development teams with essential infrastructure for continuous, dynamic testing scenarios and tailored metrics. This allows organizations to move beyond insufficient generic benchmarks and mitigate the substantial costs associated with AI deployment failures.

Jorge Palomar, co-founder and CEO of Galtea, highlighted the pervasive challenge: "Access to sufficient, affordable testing data significantly impacts the rate at which AI teams can deploy. Many teams take shortcuts or rely on inadequate generic benchmarks to bypass what are extreme levels of cost." He emphasized that Galtea offers a solution for teams to ensure their AI platforms perform accurately, securely, and efficiently in real-world conditions.

Founded by Jorge Palomar and Baybars Külebi, Galtea emerged from the Barcelona Supercomputing Centre. The platform automates the generation of hundreds of use-case-specific test cases, moving away from the common practice of relying on a few manual tests. This automated approach evaluates AI agents against structured metrics, drastically reducing the reliance on manual validation and improving development velocity. Customers like Telefonica and ABANCA have reported significant cost reductions, with an average of 71% less spent on AI validation, translating to an estimated 10X return on investment.

A compelling case study revealed that a customer support agent, tested via Galtea, failed over 2,100 evaluations related to critical vulnerabilities – a failure rate 12 times higher than internal testing indicated. The platform automatically generated over 6,000 test scenarios for this agent, saving approximately 600 hours of manual effort and preventing potential production issues.

With this new capital infusion, Galtea plans to bolster its commercial and engineering teams. The company will focus on enhancing its platform's capabilities for generating high-quality, context-specific test scenarios for generative AI agents. The launch of a self-service model, including a two-week free trial, further aims to democratize access to advanced AI testing solutions.