DEVOPSdigest

Zerve unveiled a multi-agent system engineered specifically for enterprise-grade data and AI development.

Unlike lightweight code assistants or hobbyist tools, Zerve’s Agent is a full participant in the development lifecycle—planning, provisioning infrastructure, building, and deploying data and AI products at scale.

Designed for enterprise environments, the Zerve Operating System connects directly with internal infrastructure – cloud or on premise – and provides a visual canvas for human and agent collaboration. With multi-agent orchestration, full compute control, and native access to code, data, and workflows, Zerve redefines what AI agents can do—transforming them from co-pilots into true teammates.

Zerve also eliminates the infrastructure burden typically required to run AI workflows. Since Zerve automatically provisions and manages compute resources, teams can move ahead quickly with confidence.

“If you’ve tried out ‘vibe-coding’ agents and wished you could apply them to real enterprise AI and data workflows—now you can,” said Phily Hayes, CEO and Co-founder of Zerve. “Zerve is hosted in your own environment, with your own SDLC policies, connected to your LLMs, data repositories, single sign-on, and the whole shebang, giving your team and AI agents a secure, productive environment in which to explore, build, test and deliver data and AI products in record time.”

Teams can activate multiple AI agents on any problem using natural language prompts. The agents will present a plan, and then get to work, generating new Zerve canvases, creating and connecting code blocks, writing code, orchestrating infrastructure, and automating various parts of the data workflow.

Coding with data, unlike traditional software development, is highly iterative. Developers learn from the data and write their code accordingly, and the Zerve Agents act similarly. Like humans, if the Agents encounter an error or their experiment fails, they reevaluate and try a different approach.

Zerve was initially released in 2024. The Agents are part of a 2.0 release that includes several additional patent-pending features that take AI and data workflow automation and accessibility to the next level. These include:

- The Fleet: A distributed computing engine that enables massively parallel code execution using serverless technology, invoked with a single command. The Fleet is ideal for tasks like making numerous calls to LLMs, significantly reducing processing time without increasing costs.

- App Builder: The fastest way for data and AI teams to become product builders. The App Builder enables productizing and sharing scalable and robust outputs without needing a front end developer or devops engineer. The Zerve Agent can be incorporated into the apps so end-users are able to query the apps in natural language.

Zerve 2.0 is available now to Zerve customers.