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.