Run Your Product on Any Cloud
You built on AWS. Your buyers are on Azure, GCP, and Oracle Cloud, with committed spend, and marketplace budgets. Tensor9 runs your existing product on every cloud, in your cloud or in your customers’, without a rewrite.
Your Revenue Is Limited By Where You Run
Every enterprise buyer off AWS is a deal you can’t reach today, whether you sell SaaS or self-hosted. Their committed spend, their marketplace, and their next deal all sit on a cloud you don’t run on.
Locked Out Of Other Clouds
Buyers standardized on Azure, GCP, or Oracle Cloud can’t use your product. You’re screened out before the demo.
No Marketplace Presence
Committed cloud spend, marketplace procurement, and co-sell pipeline flow to vendors who transact where the buyer already has budget.
The Rewrite Tax
Porting to another cloud means re-architecting every managed service: S3, RDS, DynamoDB, MSK. Months of engineering per cloud, then forever to maintain.
Multiplied Operations
Each new cloud is another deployment pipeline, another observability stack, another on-call surface. Your team can’t scale that linearly.
Run on Every Cloud, Without the Rewrite
Tensor9 translates the stack you already have into a deployment for each target cloud, so a new cloud is a few weeks of work, not a two-quarter port. It keeps every environment running without drift.
Translate, Don’t Rewrite
Tensor9 reads your AWS stack and translates it to native equivalents on GCP, Azure, and OCI: GKE/AKS/OKE, Cloud SQL, Memorystore. Same app, different cloud.
Compatibility Layer
Where there’s no wire-compatible equivalent, a compatibility layer presents the AWS API over the native backend, so your code keeps calling S3 and DynamoDB, unchanged.
First-Party or BYOC
The same pipeline deploys to your own cloud accounts and into your customers’ environments. One artifact, every target: SaaS and self-hosted.
Drift Detection
A controller in each deployment watches for drift and keeps every cloud in sync with your latest release, so all your clouds run the same version.
How Tensor9 Works
Bind → Translate → Deploy
Bind the stack you already have — the Terraform describing your product. Tensor9 translates it into a deployment for each target cloud, mapping managed services to native equivalents and adding a compatibility layer where there isn’t one. You deploy into your own accounts or your customers’. A controller in each environment handles runtime translation, drift detection, and telemetry.
Frequently Asked Questions
Tensor9 is an enterprise any-prem platform. We enable SaaS vendors to run their product on any cloud — first-party in your own AWS, Azure, GCP, and OCI accounts, or inside your customers' environments. We translate your existing stack for each target, so you run everywhere from one codebase instead of forking your infrastructure per cloud.
- Selling on cloud marketplaces: A prospect on Azure or Google Cloud wants to buy through the marketplace so the purchase draws down their committed cloud spend. Running first-party on their cloud makes you transactable there and eligible for co-sell.
- Data sovereignty & concentration risk: A regulated buyer requires your product to run inside their own cloud tenancy and region, and their regulators (for example, EU financial firms under DORA) require a documented, tested exit strategy off any single provider.
- Cloud negotiation leverage: An enterprise won't adopt software that deepens their lock-in to one hyperscaler, because portability is what preserves their pricing leverage at renewal. A deployment that can move keeps that leverage intact.
- Winning deals on other clouds: Your stack is built for AWS, Azure, or GCP, but a prospect mandates deployment on a different cloud where they're standardized. Instead of a multi-quarter port, you deliver on their cloud from the same stack.
AWS, Google Cloud, Microsoft Azure, and Oracle Cloud, with or without Kubernetes. Google Cloud and Azure are the most mature today, and Oracle Cloud is expanding. The deployment experience stays the same for you regardless of the target.
No. Tensor9 automatically translates your existing cloud-native stack into local equivalents for each cloud (a managed Postgres or Redis where one exists, and a compatibility layer that keeps the AWS API working where one doesn't) so you deploy anywhere without maintaining separate codebases.
Yes — it's the same platform. Deploy first-party into your own cloud accounts, or into your customers' environments (their AWS, Azure, GCP, OCI, or private data center, with or without Kubernetes). One stack, every target.
Running first-party on each cloud makes you eligible to list and transact on its marketplace and to draw down your customers' committed cloud spend. Marketplace listing and metering are enabled through our partners.