What Is Tensor9?
Tensor9 helps software vendors (like you) to easily deliver SaaS products to any enterprise customer environment, including: AWS, Google Cloud, Azure, Kubernetes, on-prem, bare metal, or even air-gapped environments. This unlocks your ability to sell to enterprise customers that require sensitive, mission-critical, and/or regulated workloads to live in their own private environment.
Tensor9 makes software delivery to customer environments easier by enabling you to:
- Deliver a single product to any customer environment without having to build and maintain a different product variant per customer environment: Amazon Web Services, Google Cloud, Microsoft Azure, Kubernetes, on-prem, bare metal, or even air-gapped environments.
- Continuously deploy your software to customer environments with the same deployment tooling you use today (e.g. AWS CodePipelines, GitHub Actions, CircleCI, Octopus Deploy).
- Continuously observe and support your software running in customer environments using the observability and support tooling you use today (e.g. CloudWatch, DataDog, Grafana, New Relic, PagerDuty, etc).
- Give customers control: Customers have customizable change management controls and can set firewall policy to control the data, if any, that leaves their environment.
Use Cases
If your product has any of the following use cases, then Tensor9 might be right for you:
| Use Case | Description |
|---|---|
| Access Siloed Data | Access heavy, sensitive, or regulated data where it lives, eliminating the need for data movement or centralization. |
| AI Inside The Enterprise | Deploy AI models and services directly within enterprise customer environments, ensuring privacy and compliance. |
| Sell to Sensitive Markets | Enable sales to sensitive and/or regulated industries like legal, healthcare, financial services, and government. |
| Data Sovereignty | Ensure compliance with data residency regulations. Keep personal/PII data within its home country. Reduce time to international markets. |
| Customer Control | Give customers full control over their data and infrastructure while maintaining your SaaS experience. |
| Privileged Access | Secure access to sensitive systems and data with enterprise-grade security controls and monitoring. |
Benefits
- Unlock Enterprise Customers: Sell to enterprise customers in regulated sectors like healthcare, finance, and government.
- Faster Time to Market: Deliver cloud-native features to any enterprise customer environments without re-engineering your SaaS product. Tensor9 automates delivery of your existing SaaS product to any enterprise customer environment.
- Low-Lift Support and Maintenance: Deploy your software continuously and observe it continuously using your existing deployment and support tooling. Tensor9 automatically updates your local logs, metrics, and dashboards to reflect your customer's environment.
By enabling seamless software delivery to any environment, Tensor9 helps expand your market reach, win more enterprise deals, and reduce deployment and support costs.
How It Works
The simplest mental model for Tensor9 is that it delivers your existing SaaS stack into any customer environment. Your customers then use your product by interacting with their own private instance of your stack. To make this easy for you, Tensor9 watches your existing SaaS stack (in your cloud), and continuously synchronizes to your customers (in their environment).
Tensor9 is unique because of its digital twin approach to deployment and observability:
Tensor9 creates a nano-sized digital twin of the stack running in each customer's environment. This digital twin reflects the deployment and operational state of its corresponding customer stack. When you deploy changes to your SaaS stack, Tensor9 automatically synchronizes those changes to the digital twin for each customer, which in turn trigger deployments to the corresponding customer stacks. Similarly, logs, metrics and alerts produced by a customer stack are continuously published back to its digital twin. Software and hardware failures are also continuously published back to the digital twin. The end result is that you can observe, debug, and support your customer's stack as if it were local by observing and deploying to its digital twin.
See more details on how Tensor9 works here: How It Works
Updated about 3 hours ago