Reach Buyers on Any Cloud
Sell Where Your Buyers’ Cloud Budget Already Sits
You built for one cloud. Your buyers are on others, each 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 a different cloud can’t run your product today, so they’re a market you can’t reach yet.
No Marketplace Presence
Committed cloud spend, marketplace procurement, and co-sell pipeline flow to the vendors who transact where the buyer already has budget.
Re-Architect Every Service
Porting to another cloud means re-architecting every managed service it depends on: databases, queues, object storage, streaming. 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 serves the cloud APIs your product already uses on each cloud your customers require, so you run everywhere from one codebase instead of forking your infrastructure per cloud.
Adapt the Cloud, Not the Code
Your app, SDKs, and Terraform keep calling the APIs they were written against. Each call is served by the target cloud’s native service: GKE, AKS, OKE, and managed databases and caches. Same app, different cloud.
Compatibility Layer
Where there is no wire-compatible equivalent, a compatibility layer presents the API your app was built for over the native backend, so your code keeps calling the same services it always has, 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
Run first-party in your own accounts on every cloud with Cloud Adapter, or deliver into your customers’ environments with Tensor9 BYOC. Same product, SaaS and self-hosted.
See How Every Call Is Served
Behavior differences for each service mapping are documented up front, and any request can be traced to the native service that handled it, so nothing surprises you in production.
How Tensor9 Works
Point, Run, Sell
Point the SDKs, CLI, and Terraform your product already uses at the Tensor9 endpoint running in each target cloud. Each call is served by that cloud’s native service, with a compatibility layer where there is no clean equivalent. Run in your own accounts on every cloud and transact on its marketplace, or deliver into your customers’ environments with Tensor9 BYOC.
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. Your product keeps calling the cloud APIs it was built against, and Tensor9 serves them on 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 one cloud, but a prospect mandates a different one 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. Your app keeps calling the same APIs, and Tensor9 serves each one with a local equivalent on each cloud: a managed Postgres or Redis where one exists, and a compatibility layer that keeps your app’s existing API working where one does not, so you deploy anywhere without maintaining separate codebases.
Yes. Tensor9 BYOC delivers the same product into your customers’ environments: their AWS, Azure, GCP, OCI, or private data center, with or without Kubernetes. Use Cloud Adapter to run first-party on every cloud, and BYOC to run inside your customers’ accounts.
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.