Bring Your Own Cloud: Automated, Enterprise-Grade Deployment Keeps AI Evals & Observability In Your Cloud

Bring Your Own Cloud: Automated, Enterprise-Grade Deployment Keeps AI Evals & Observability In Your Cloud

Run Freeplay entirely inside your own AWS, Google Cloud, or Azure environment with minimal DevOps overhead.

Run Freeplay entirely inside your own AWS, Google Cloud, or Azure environment with minimal DevOps overhead.

For teams building AI-powered features with sensitive data, figuring out the right way to manage your LLM Ops workflow can be hard. Off the shelf tools are attractive, but SaaS tools can get stuck in security reviews. Open-source stacks require a full-time DevOps crew. And self-hosting? It sounds flexible until you’re debugging deployments and tracking your own uptime.

Freeplay’s Bring Your Own Cloud option eliminates that tradeoff. It gives you the full Freeplay experience - custom evals, offline experiments & tests, tracing & observability, human data review workflows - entirely inside your AWS, GCP, or Azure account, with zero sensitive data ever leaving your environment. And Freeplay application updates are fully automated. You stay compliant. Your team keeps building. We keep making Freeplay better for you.

Jump into the docs here or keep reading below for how BYOC can work with your deployment stack.

Enterprise Control Meets Managed Simplicity

Freeplay BYOC deploys and updates the entire Freeplay platform securely in your cloud environment. All your prompts, completion logs, trace data, and evaluation results never leave your VPC or touch Freeplay servers, they stay fully under your governance.

Meanwhile, we handle what you'd expect from a managed service:

  • Zero sensitive data egress – 100% of prompts, responses, and eval metrics stay in-VPC.

  • No maintenance drag –  Application updates, monitoring, rolling health checks, and scaling handled by Freeplay’s lightweight, secure control plane

  • Fast setup time – One-command deploy; up and running in < 30 minutes

  • Same great product as SaaS – One Freeplay codebase, always in sync.

Don’t take it from us, our customers and partners tell it best: 

“The only thing we really bring is the VPC—everything else is basically one click.” - Senior EM for AI Products, fintech

“Pardon my language but this is a f**king game changer. It addresses the majority of my production integration concerns.”  - Tim Kersey, Director of Engineer at Artium.ai (leading AI product development consultancy for global brands)

One-line install, built for compliance  

Freeplay BYOC is easy to install and integrates cleanly with your infrastructure. Once you prep your environment with an empty cloud project and provision a Kubernetes cluster, all you need is a one-line script to install the Freeplay agent pod.

./freeplay-up.sh --license ./freeplay.lic --deployment-name freeplay-prod

Once installed, the agent applies updates from Freeplay’s control plane and handles scaling with no manual ops, that deploys the necessary infrastructure to run the Freeplay stack

Then you can configure:

  • Private-only access via VPC peering or Private Link

  • Approved LLM endpoints and regions, which you would call with your API keys/accounts

  • Analytics off-switches (e.g. disable Mixpanel via Helm, if desired)

BYOC was designed from the start to meet real-world enterprise requirements. Here’s a quick guide on the compliance and security of the platform:

Control

BYOC Handling

Outcome

Data residency

No sensitive data leaves VPC

Meets compliance and data locality requirements

Secrets

Stored in your cloud KMS-backed secret manager

Zero secret transit

Egress

Only updates + Datadog required, Mixpanel optional, LLM endpoints configurable + use your accounts

Streamlines security reviews

Ready to Bring Your Own Cloud?

Freeplay BYOC lets you ship GenAI features without compromise. Run evals on production data. Stay compliant. Keep moving.

Check out the docs here

Categories

Product

Authors

Eric Ryan

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