Prague-based Zerops has raised a $2 million seed round led by Gi21 Capital to support expansion across Asia and North America, including scaling infrastructure in the United States, as Vestbee was informed.
- Founded in 2017 by Aleš Rechtorík and Jan Saidl, the company operates a platform for deploying and running applications on cloud infrastructure where development and production environments are designed to remain identical.
- The system runs applications in Linux system containers on isolated per-project infrastructure. Each project includes its own private network, with services such as databases, caches, queues, and storage operating within the same environment. Applications communicate through internal hostnames rather than external service connections.
- Developers define build, runtime, and deployment behavior in a single configuration file. The platform then manages deployment, scaling, updates, and rollbacks automatically. Containers support multiple processes, SSH access, system package installation, and full Linux userspace behavior rather than restricted application sandboxing.
- The platform includes logging, monitoring, backups, and automatic scaling as part of its core setup, with the aim of keeping local development and production behavior consistent.
“Most platforms ask you to trust that development and production are close enough. We removed the gap entirely by rethinking how cloud architecture should work from the ground up. What works once continues to work as applications scale. Our goal is to make running software predictable, not something teams have to constantly debug," explains Aleš Rechtorík, co-founder and CEO of Zerops.
- In 2024, the company secured a $500,000 pre-seed round from Presto Ventures and Gi21 Capital to build deeper integrations with popular frameworks and open-source software.
Details of the deal
- With the funding, Zerops plans to expand its global infrastructure in the US and Asia, accelerate product development, grow its team, and introduce new AI-focused features such as its Control Panel for enabling AI-assisted building and debugging in production-like environments.
