Galtea offers tools to identify errors, measure performance and ensure AI agents are robust before deployment, including through a new self-service offering.
Galtea, a provider of AI evaluation infrastructure, has raised $3.2 million in seed funding to further develop its platform for generating high-quality, use case-specific test scenarios for generative AI agents. The round was led by 42CAP, with participation from Mozilla Ventures and existing investors including JME Ventures, Masia and ABAC Nest Ventures, bringing total funding to $4.1 million.
The company addresses a key bottleneck in AI deployment: access to reliable and affordable test data. As enterprises adopt generative AI, many face challenges moving from development to production due to the cost and complexity of testing. Galtea aims to streamline this process by providing structured, scalable testing scenarios that support evaluation of performance, accuracy and security before deployment.
Galtea’s platform offers continuous, dynamic testing and tailored evaluation metrics, enabling enterprise teams to assess and improve their AI agents. The solution is already in use by customers across sectors, and the company has introduced a self-service offering, including a free trial, to broaden access for developers alongside its enterprise packages.
Jorge Palomar, co-founder and CEO of Galtea, noted that limited access to sufficient and cost-effective testing data continues to slow AI deployment:
Galtea provides the infrastructure developers need to test, validate and deploy AI systems reliably and efficiently in real-world conditions.
The company reports that its platform can reduce the cost and time associated with AI validation through automated scenario generation, supporting more efficient development workflows.
The funding will be used to expand Galtea’s engineering and commercial teams and to further develop its platform, with the aim of making rigorous AI testing more accessible to developers globally.