BYOC & Self-Hosted
Run In
Without a Rewrite
Everything You Need
to Deliver Into Customer Environments
Enterprise and regulated buyers need your software inside their perimeter. Deliver it in weeks, or replace the sprawl of bespoke per-customer installs with one model that scales across every deployment.
Deployments and Updates
Problem
Delivering into customer environments usually means separate infrastructure code, a bespoke pipeline per customer, and coordinating every release with someone else’s team.
Solution
Deploy your existing stack into each customer environment and push updates from one place. Every customer stays on the version you intend, and your first deployment lands in weeks, not quarters.
Portability
Problem
Customers run on different clouds and on-prem. Supporting each one usually means rewriting around the managed services your product was built on.
Solution
Tensor9 maps every managed service your stack depends on to what the target environment provides, so the whole thing runs natively. No refactor, one codebase.
Observability
Problem
Once your software leaves your cloud, it becomes a black box. You lose the metrics, logs, and traces you rely on to support it.
Solution
Tensor9 streams metrics, logs, and traces from every customer environment back to your existing tools, so you operate a fleet of installs with your existing tools, with the same visibility you expect from your own SaaS.
Operations
Problem
Fixing an issue in a customer environment means slow email threads, ad-hoc VPN access, or walking an admin through CLI commands over a call. When something breaks, there is no safe way in.
Solution
Run operational commands into any customer environment, synchronously or async, over secure ephemeral access. When you need deeper access, break-glass grants temporary elevated permissions that are scoped, time-boxed, and fully audited, so you can debug and fix remotely using the tooling you already use, within the access each customer grants.
Customer Control
Problem
Enterprise security teams demand control over anything running in their environment, which turns each deal into a bespoke, un-repeatable deployment.
Solution
Customers set the rules: maintenance windows, approvals, audit logs, and access scope, without you building a snowflake per account. One model built to pass enterprise security review.
Flexible Installs
Problem
A deal can stall the moment a customer requires an install format you do not support.
Solution
Meet customers where they are: Terraform, Helm, Docker, CloudFormation, or a VM, with or without Kubernetes, from the same stack.
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
Do not rearchitect your software for every cloud. Tensor9 maps the managed services in your existing stack to the corresponding services in AWS, Azure, GCP, and sovereign clouds.
Our Security Principles
Zero Trust Delivery
You deploy, update, and operate software in sensitive environments without standing access to the data or infrastructure. Operational access is granted only on demand, over secure, ephemeral tunnels.
Customizable Controls
Customers tailor security policy to their own needs. Controls like deployment windows and operational approvals keep them in charge, and audit logs capture every action.
Data Sovereignty
Your control plane runs in your own cloud. The Tensor9 appliance is self-contained inside the customer's environment, and their data never leaves their boundary.
SOC 2 Type II Certified
With Tensor9 vs. Do-It-Yourself
One product delivered into every environment
A separate variant per customer environment
Full visibility across every deployment
Little insight once software leaves your cloud
New enterprise deals unlocked in weeks
Months of custom work, or revenue turned away
One codebase to maintain
Multiple bespoke versions to patch and support
Customers keep control, data stays in their boundary
Security reviews stall on standing access
Standardized delivery across every customer
A snowflake deployment for each account
Frequently Asked Questions
Tensor9 is a software adaptation platform that delivers your existing product into customer environments, on-prem, in their VPC, or air-gapped, and lets you operate it like SaaS. We compile your stack for each target and translate the managed services it depends on, so you never fork your codebase per customer.
For most vendors we analyze and compile your existing stack in one to two weeks, and your first customer environment can be live by week three or four. There is no re-architecture and no separate platform team to hire.
No. Tensor9 translates your existing cloud-native stack into local equivalents for each environment, so you deploy anywhere without maintaining separate codebases.
Customer-owned VPCs on AWS, Azure, GCP, and Oracle Cloud, private data centers, and air-gapped networks, with or without Kubernetes. The delivery experience stays the same for you regardless of the target.
Tensor9 streams metrics, logs, and traces from every deployment back to your existing tools like Datadog or Prometheus, so you see the health of your whole fleet in real time.
Run operational commands remotely over secure, ephemeral access. When you need deeper access, break-glass grants temporary elevated permissions that are scoped, time-boxed, and fully audited.
Your application runs entirely within the customer's boundary, and their sensitive data never touches our control plane. Tensor9 only receives operational metadata, such as software versions, controller counts, and machine capacity.
Streamed telemetry is operational by default: metrics, log and trace metadata, and health signals. Payload and field-level redaction runs by the customer's policy, the customer can inspect and filter what leaves their environment, and a metadata-only mode is available for the strictest cases.
No, it complements it. Tensor9 deploys into customer-managed Kubernetes where they want it, on-prem, in private data centers, or on self-managed cloud Kubernetes, and works without Kubernetes too.