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Your first environment deploys in hours. New engineers typically go from zero to first production deployment in under three days, compared to the 30–35 days most teams spend on manual setup, documentation, and knowledge transfer. You can start shipping almost immediately.
Building it yourself is doable. Maintaining it is where teams get stuck. Infrastream is essentially a platform engineering team in a box, instead of hiring DevOps engineers to build and maintain your cloud foundation, the software does it continuously and automatically, at a fraction of the cost.
Your infrastructure keeps running. Infrastream creates standard cloud resources inside your own GCP account, so if you leave, everything stays exactly as it is. You lose the automation layer, nothing else. No lock in, no data held hostage, no migration headache.
We deploy a control plane directly inside your Google Cloud organisation. It connects to your Git repository, and from there your infrastructure is managed through Git commits, updates, security patches, scaling, all handled automatically within your own account. We never touch your data.
Neither. It's an infrastructure automation platform, think of it as a platform engineering team you install rather than a service you contract. No consultants, no dependency on us to make changes. You get the capabilities of a mature platform engineering org without having to build or hire one.
Teams who are good at building products but didn't sign up to become cloud infrastructure experts. If your engineers are burning time on environment setup instead of shipping, if your DevOps capacity can't keep up with your growth, or if compliance is starting to feel like a full-time job, this is for you. Most of our customers are CTOs and VPs of Engineering at Series A-C companies on GCP, but the common thread isn't company size. It's that they want to move faster than their infrastructure currently lets them.
Agents run inside sandboxed, isolated environments with strict network and identity boundaries, they can't access sensitive systems unless explicitly permitted. We also operate on a human-in-the-loop model, meaning the AI proposes changes and generates configurations, but nothing executes automatically. Everything comes through as a Pull Request in your Git repo. A human reviews and merges before anything touches production.
No and that's usually the point. If your developers know Git and can write YAML, they can deploy. Small platform teams of three to five people regularly use Infrastream to support organisations of 100 or more developers, with the same confidence as a much larger engineering org.