Bring Your Own Cloud: Why We Built It and What It Means for our Customers

We just rolled out our first Bring Your Own Cloud deployment for an international customer who will be deploying instances of Jylo across their global Azure estate - and we wanted to share why we built this deployment model and what's driving the demand.

Over the past year, we've had a growing number of conversations with customers who are genuinely concerned about the security of their own intellectual property, and equally, the intellectual property of the clients they serve as custodians of. They're watching VC-backed software companies raise hundreds of millions — if not billions — with a stated or implicit ambition to leverage the data and domain knowledge accumulated through servicing their customers, and ultimately use it to compete against them at the services layer. A white collar business responds to the hype, adopts a platform, and two years later the vendor launches a services offering that looks remarkably like a direct competitor. The data flywheel model underpinning so many AI companies is well understood now, and white collar organisations are paying attention.

When your customer data, your IP, and your operational workflows all live inside someone else's infrastructure, its right to be paranoid. The response we're seeing is a broad retreat away from traditional SaaS and back toward customer-owned infrastructure. Not back to racks in a basement, but private cloud environments where the customer hosts the environment but the vendor deploys their software into that environment.

That's what Bring Your Own Cloud is. You run our platform, the full thing, inside your own Azure subscription. Same capabilities you'd get from our managed SaaS offering, you even get the new version of Jylo at the same time of our hosted customers, but the infrastructure is yours. Your data never leaves your environment. You control the network boundaries, the region, the access policies, the lot. If your compliance team needs to audit it, everything is right there in your tenant.

On the technical side, we didn't build a separate stripped-down version for self-hosted customers. The deployment is the exact same proven infrastructure stack that we run in our own SaaS environment, packaged with automation that makes provisioning straightforward. You provide the Azure subscription, and we run the fully automated deployment pipelines for you. It supports single or multi-region setups out of the box, so you can start small and expand later without rearchitecting anything and because we know not everyone standardises on one AI provider, you can configure multiple model backends including cross-cloud providers, so you're not locked into a single ecosystem.

Getting started is deliberately low-friction. A new deployment can be up and running with minimal configuration, and we'll work with you to figure out the right operating model - whether that's fully managed by us, fully independent, or somewhere in between.

If this sounds like what you've been looking for, get in touch.