Standardize
Deployments Across Customer Environments
Everything You Need
for Enterprise Deployments
Enterprise customers need your software to run inside their environment to protect sensitive data. Deliver it in weeks — or replace your existing operational sprawl with something that scales.
Deployments and Updates
Problem
AI is accelerating demand for private deployments. But delivering across environments — whether you’re starting from scratch or already managing a
patchwork of bespoke installs — means maintaining separate infrastructure code, unique deployment pipelines, and coordinating with every customer team.
Solution
Deploy your existing SaaS stack into different customer-owned environments. Continuously sync or programmatically manage updates to ensure consistency across customers. First deployment in weeks.
Portability
Problem
Supporting multiple clouds usually requires rewriting code to avoid vendor lock-in, forcing you to abandon the powerful managed services that speed up your development.
Solution
Deploy across any cloud while still using the hyperscaler services you love. Tensor9 translates them into local equivalents automatically, so you never have to refactor.
Observability
Problem
Once software leaves your cloud, it becomes a “black box.” You lose visibility into health and performance, making proactive support nearly impossible.
Solution
Aggregate real-time metrics, logs, and traces from every customer environment back into your existing monitoring tools, so you can support customers as if they were using SaaS.
Operations
Problem
Troubleshooting customer issues across environments often requires slow back-and-forth emails, insecure VPN access, or blindly guiding admins through complex CLI commands over Zoom.
Solution
Securely debug and fix issues remotely using synchronous and asynchronous operational commands to a customer’s environment, allowing you to manage customer deployments as easily as your own cloud.
Customer Control
Problem
Satisfying strict enterprise security and compliance demands often forces SaaS vendors into creating unmanageable “snowflake” deployments that drain engineering resources and create lackluster customer experiences.
Solution
Empower your customers to control exactly how you interact with their environment—including maintenance windows, audit logs, and access permissions—satisfying strict security teams without creating bespoke deployments.
Flexible Installs
Problem
Rigid deployment requirements can stall progress when a customer demands a specific infrastructure setup or installation format that you don’t support.
Solution
Remove friction by offering a variety of installation options, including Terraform, Helm, Docker, CloudFormation, and virtual machine, meeting customers exactly where they are in their infrastructure journey.
How Tensor9 Works
Your Stack, Compiled for Their Environment
Tensor9 compiles your existing stack for any target, automatically translating cloud services to Azure, GCP, or on-prem equivalents, so you can deploy anywhere without maintaining separate codebases. Stream metrics, logs, and traces back to your control plane and remotely operate customer environments for a SaaS-like operational experience. Tensor9 runs in your environment to maximize control and security.
Service Portability
Don’t rearchitect your product for every environment. Tensor9 maps managed services in your existing stack to corresponding services in AWS, GCP, Azure, or on-prem.
Our Security Principles
Zero Trust Delivery
You can deploy, update, and manage software in sensitive environments without ever possessing standing access to the underlying data or infrastructure. Operational access is granted only on-demand via secure, ephemeral tunnels.
Customizable Controls
Your customers can tailor security policies to their specific needs. Flexible controls like deployment windows and operational approvals puts them in control, and audit logs capture all activities.
Data Sovereignty
AI workloads process the most sensitive enterprise data. Tensor9’s control plane is provisioned directly within your (the vendor’s) cloud environment. The Tensor9 appliance is a self-contained system installed within your customer’s environment, and customer data never leaves their boundary.
SOC 2 Type 1 compliant
With Tensor9 vs. Do-It-Yourself
One product deployed everywhere
Multiple product variants for each environment
Full visibility across all deployments
Little to no insight into customer environments
New markets unlocked immediately
Months of custom work or revenue turned away
Single codebase to maintain
Multiple versions to patch and support
Full flexibility in services and tools
Constraints to minimize complexity
Frequently Asked Questions
Tensor9 is an enterprise any-prem platform. We enable software vendors to deliver their product inside customer infrastructure — whether you’re building that capability for the first time or replacing a costly, manual process that doesn’t scale. We compile your existing stack for any target environment so sensitive
data stays with the customer.
For most vendors, we analyze and compile your existing stack in 1-2 weeks, and your first customer environment can be live by week 3-4. There’s no re-architecture required and no dedicated platform team to hire or re-allocate. This is the single biggest misconception vendors have about working with Tensor9 — they expect a multi-month engagement, and they’re surprised when their first customer is live in weeks.
- From SaaS to BYOC: You have an AWS SaaS built with IaC. Enterprise customers now demand to run the product in their own AWS accounts, requiring immediate delivery without heavy engineering.
- From Kubernetes-only to using cloud services: You augmented your Kubernetes stack with AWS services (databases, queues). Now, customers require deployment on Azure or GCP for security reasons, but the app is tied to AWS dependencies.
- Multi-Cloud Portability: Your SaaS is optimized for AWS. New prospects demand it run on Google Cloud or Azure, requiring instant portability to unlock the market without re-platforming.
- Standardizing Existing Private Deployments: You already deliver on-prem or into customer VPCs, but every customer is a snowflake — different scripts, different processes, different support burden. Tensor9 replaces the patchwork with a single, standardized delivery and operations model across all your customers.
You can deploy to virtually any environment: customer-owned VPCs (AWS, Azure, GCP), private data centers, all with or without Kubernetes. The deployment experience remains consistent for you, regardless of the underlying infrastructure.
No. Tensor9 automatically translates your existing cloud-native stack into local equivalents for any environment, so you can deploy anywhere without maintaining separate codebases.
Tensor9 aggregates metrics, logs, and traces from all your distributed deployments and forwards them to your existing tools like Datadog or Prometheus. You can see the health of your entire fleet in real-time, just as if it were running in your own cloud.
Your application runs entirely within your customer’s sovereign boundary, and their sensitive data never touches our control plane. Tensor9 only receives metadata from customer environments. This can include things like:
- The versions of Tensor9 software running in your and your customers’ environments.
- The number of Tensor9 controllers in each environment.
- The memory/cpu/network capacity of each machine.
No, it complements it. Deploying to customer-managed Kubernetes clusters provides flexibility for customers who want to run appliances in their own Kubernetes infrastructure, whether on-premises, in private data centers, or on self-managed cloud Kubernetes.
Ready to Deliver Your Anywhere?
No need to re-architect or adopt new tools. See how fast Tensor9 can get your product running in customer environments.
We charge an annual fee for the platform, as well as a fee per customer appliance (a deployment of your software in a customer environment). The platform fee is intentionally low: the time to value with Tensor9 is minimal as you bring your existing stack.
You can purchase the full Tensor9 platform, or purchase the Deploy or Observe & Operate products individually.
No. You manage your relationship with your own customer. Tensor9 white-labels our product, and will act as part of your team if you ever would like us to interact with your customer.
Each of your end customers will typically need a single appliance. If an end customer needs multiple isolated instances of your application, or has multiple geographically separated regions, then that customer will need multiple appliances.
The end customer does; the appliance runs in their cloud account.