Vertesia

Vertesia, founded in 2024 by Eric Barroca, operates as a developer of a unified, low-code platform for generative AI applications. Previously known as Composable Prompts, the company rebranded to Vertesia in January 2025 to better reflect its mission of accelerating enterprise AI adoption. Barroca, who also serves as CEO, leads a team with extensive experience in content management and enterprise software, stemming from their work at Nuxeo.

The company's core offering is a secure, low-code GenAI platform that enables organizations to build, deploy, and operate complex generative AI applications and autonomous agents. This platform is designed to reduce development time from months to days, providing businesses with greater visibility and control over their AI solutions to ensure governance and compliance. Vertesia serves a range of industries, including financial services, retail, consumer products, and healthcare, by helping them move beyond experimental AI pilots to achieve measurable return on investment. For example, the platform has been used to automate grant application reviews for a philanthropic organization, resulting in a sevenfold increase in processing efficiency, and to streamline workflows for Hashgraph across HR, QA, and marketing.

Vertesia's business model is subscription-based, offering various plans from a free trial to enterprise-level subscriptions, making its solutions accessible to a wide array of business sizes. The platform's revenue is generated through these subscriptions, which provide access to its suite of tools, including Vertesia Studio, a command-line interface (CLI), and a software development kit (SDK). The company has secured significant financial backing, including a $4 million seed funding round in February 2024, co-led by Elaia Partners and Illuminate Financial, with participation from other venture firms. This funding fuels the ongoing development of its platform, which includes key features like the Autonomous Agent Builder, Semantic DocPrep for intelligent content processing, and configurable GenAI tasks that support various inference providers and models.

Keywords: generative AI platform, low-code AI development, enterprise AI, autonomous agents, AI application builder, large language models, AI workflow automation, intelligent content processing, GenAI governance, financial services AI, retail AI, healthcare AI, Semantic DocPrep, Eric Barroca, AI-powered innovation, enterprise software, data processing, AI solutions, business process automation, generative AI applications