Reach Buyers on Any Cloud
Sell Where Your Buyers’ Cloud Budget Already Sits
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
Your product runs great on the cloud you built on. But your buyers’ budget lives on another cloud, and reaching it the usual way means re-architecting the managed services your product depends on.
Locked Out of Other Clouds
Buyers standardized on Azure, GCP, or Oracle Cloud can’t run your product. You’re screened out before the demo.
No Marketplace Presence
Committed cloud spend, marketplace procurement, and co-sell pipeline flow to the 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 for each cloud your customers require, so you run everywhere from one codebase instead of forking your infrastructure per cloud.
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 is no wire-compatible equivalent, a compatibility layer presents the AWS API over the native backend, so your code keeps calling S3 and DynamoDB, for the API surface your application actually uses.
Transact on Every Marketplace
Running first-party on each cloud makes you eligible to list, transact, and draw down your customers’ committed spend, and to be co-sold by the cloud’s own field sales.
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 on your latest release, with logs, metrics, and traces streamed back to the tools you already use.
How Tensor9 Works
Bind, Translate, Deploy
Bind the stack you already have, the Terraform that describes your AWS product, without modifying it. Tensor9 translates it into a deployment for each target cloud, mapping managed services to native equivalents and adding a compatibility layer where there is no clean one. Deploy into your own accounts or your customers’. A controller stays resident in each environment to handle runtime translation, drift detection, and telemetry back to the tools you already watch.
Frequently Asked Questions
Tensor9 lets software vendors run their existing product on any cloud, first-party in your own AWS, Azure, GCP, and OCI accounts, or inside your customers' environments. We translate your 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 and concentration risk: a regulated buyer requires your product to run inside their own cloud tenancy and region, and their regulators require a documented, tested exit from any single provider.
- Cloud negotiation leverage: an enterprise will not adopt software that deepens their lock-in to one hyperscaler, because portability preserves their pricing leverage at renewal.
- Winning deals on other clouds: your stack is built for AWS, but a prospect mandates a cloud they are standardized on. 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 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 does not, so you deploy anywhere without maintaining separate codebases.
Yes, it is 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 spend. Marketplace listing and metering are enabled through our partners.