For decades, software teams have faced a persistent problem in cloud development: applications often behave differently in development environments than they do in production. This gap has caused countless deployment failures, debugging headaches, and infrastructure complexity for developers worldwide. As AI coding agents become more involved in software creation, that challenge is becoming even more significant. Czech Platform as a Service startup Zerops believes it has found a solution by redesigning cloud architecture from the ground up, and investors are backing the company with fresh funding.
The company has raised $2 million in a seed funding round led by Gi21 Capital. The investment will support Zerops’ plans to expand its infrastructure footprint globally, accelerate product development, and grow its team as demand increases for more reliable and AI compatible cloud development platforms.
Rethinking Cloud Infrastructure
Zerops is focused on removing one of the most common weaknesses in modern cloud architecture: the separation between development and production environments. Traditionally, developers build and test applications in isolated development setups that differ from production infrastructure in configuration, scaling, and behaviour. This often results in unexpected deployment failures when applications move into real production environments.
The company’s platform eliminates environment tiers entirely. Instead of separating development, staging, and production systems, applications run inside a single unified project where code behaves identically regardless of scale or deployment stage.
This approach allows developers to build, test, and deploy applications under the same conditions from the very beginning. According to the company, this removes an entire category of deployment problems while significantly simplifying infrastructure management.
Zerops says deploying production ready applications can be reduced to a single click because the infrastructure remains consistent throughout the entire development lifecycle.
Built for Developers and AI Coding Agents
The platform has also been designed to support the growing role of AI in software development. As AI coding assistants such as Anthropic’s Claude, OpenAI Codex, and Google Gemini become more integrated into engineering workflows, inconsistencies between environments create additional reliability problems for AI generated code.
To address this, Zerops is launching Zerops Control Panel, or ZCP, a feature that connects AI coding agents directly to real cloud infrastructure inside a live Zerops project. Rather than operating in isolated testing environments, AI systems can build, deploy, and debug applications within the same environment used for production.
Because AI generated code runs under production level conditions from the start, the company believes applications become significantly more reliable while reducing the amount of manual debugging required from developers.
The platform also allows developers and AI agents to collaborate inside the same workspace, enabling engineers to review, modify, and improve AI generated outputs using their preferred development tools.
Full Stack Infrastructure Ownership
Unlike many cloud platforms that rely heavily on third party infrastructure providers, Zerops operates on its own bare metal infrastructure with data centres located across Europe and the United States. The company says this allows it to achieve significant cost efficiencies, making the platform up to four times cheaper than traditional legacy cloud services.
Applications on Zerops run inside full Linux containers rather than restricted app containers, giving developers deeper system access and greater visibility into running processes similar to working directly on their own machines.
The platform also includes more than 15 built in services such as databases, search engines, and messaging systems, reducing reliance on external integrations and simplifying application deployment.
Expansion Plans Ahead
Aleš Rechtorík said the company’s mission is to make software deployment predictable rather than a constant source of operational complexity and debugging.
Meanwhile, Damir Špoljarič argued that both rising cloud costs and the rapid adoption of AI coding agents are forcing the software industry toward a major infrastructure shift. He believes most existing platforms were not designed for this new reality, while Zerops was built specifically with those changes in mind.
The newly raised funding will help Zerops expand its infrastructure presence across the United States and Asia while continuing to develop products tailored for both developers and AI driven software engineering workflows.
