AI Infrastructure Automation for Modern Engineering Teams
Infrastream by Pvotal helps platform teams automate cloud infrastructure delivery while enforcing security, governance, and control by default.
Our Thesis
Organizations can scale cloud infrastructure and AI systems faster while maintaining control, with every change verified and governed before it reaches production.
Declares Intent
Everything starts when a developer or AI agent declares the outcome they need.
The Rulebook
That request is checked against policies and standards that define how your infrastructure should operate.
Butler for Your Cloud
Our AI system, Pvot, acts as the butler for your cloud, translating intent into secure, governed actions.
The Robotics
Automation then deploys the infrastructure automatically, enforcing security, compliance, and best practices.
The Factory Floor
Everything runs on a standardized cloud foundation, ensuring environments are consistent and reliable every time.
Automate What Slows You Down
Most platforms give you automation or governance. Infrastream gives you both.
Ship Faster. Break Less. Stay in Control.
Automate the path from code to production with built-in guardrails, so teams move fast without losing oversight.
Every Identity Secured. Zero Extra Work.
Security and compliance built in from day one. Every identity, workload, and connection enforced automatically by default.
Ship in Hours, Not Weeks.
Skip environment setup. Deploy secure, production-ready infrastructure from day one, so your team can focus on building.
One Place for Permissions. Audits in Minutes, Not Days.
Stop managing permissions across multiple tools. Centralize access for simple, safe compliance.
Meet Pvot, Your Infrastructure Operator
Pvot executes infrastructure tasks, surfaces context, and enforces security guardrails by default.
Security, Built Into Infrastructure
Who is Infrastream Built For
For Leaders
Control cloud cost and risk while scaling AI.
Your Challenges
For Platform Engineers
Automate infrastructure and eliminate operational toil.
Your Challenges
For Security Teams
Embed security guardrails directly into every deployment.
Your Challenges
Simple, Transparent Pricing
Developer
Teams getting production-ready fast
for 60 days
This Plan includes:
Growth
Scaling tech-first companies
billed monthly
This Plan includes:
Enterprise
Regulated, security-critical organizations
Everything in other plans, plus:
Platform Enablement,
Done Properly
For teams requiring structured rollout, Infrastream offers guided platform enablement covering environment consolidation, identity integration, policy enforcement, and deployment governance.
"Security should be structured and rule-based. Post-deployment operations shouldn’t generate 100 alerts to produce one incident a month. Why do I need two humans managing it? Infrastream solves this faster."
"Having that consolidated and packaged up in one product is valuable — just point it somewhere and, with minimal configuration, have infrastructure ready for you to start working on."
Browse All News
Thoughts on building, scaling, and securing modern infrastructure.
Have Questions?
If you have other questions, we’d love to help.
What is Infrastream?
Infrastream is a next-generation platform engineering framework that transforms how organizations build, deploy and operate infrastructure on Google Cloud. By enabling teams to manage complex cloud environments through simple YAML manifests, Infrastream streamlines infrastructure operations, eliminates configuration drift and embeds security by default. Leveraging AI-driven automation for provisioning and infrastructure management, it empowers engineering teams to accelerate product delivery, improve scalability and reduce operational overhead by up to 70%.
How long does it take to get up and running with Infrastream?
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.
How is Infrastream different from Terraform or building it ourselves?
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.
What happens if we stop using Infrastream?
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.
How is Infrastream deployed?
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.
Is Infrastream a managed service or a consulting engagement?
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.
Who is Infrastream built for?
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.
How are AI agents deployed and managed with Infrastream?
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.
Do we need an existing DevOps or platform engineering team to use Infrastream?
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.