Your SaaS Product, Their Infrastructure: How Tensor9 Makes On-Prem Delivery Simple
AI and strict regulations are driving demand for on-premise software. In this post, we dive into how Tensor9 allows you to deploy your existing SaaS product to customer-controlled physical infrastructure without rebuilding your stack.
Solving Search in Multi-Cloud Customer Deployments
Tensor9 helps SaaS vendors deploy to customer environments (AWS, GCP, Azure, on-prem). You write your infrastructure once; we compile it to each customer's specific environment. This post explains how we're extending that capability to search with Lucenia, alongside existing patterns for Elasticsearch and OpenSearch.
BYOC Isn't "SaaS Anywhere": A Design Playbook
A playbook for delivering your SaaS and AI to customer-hosted environments, based on our experience building Tensor9.
Enterprise software delivery is hard, but there’s a better way. (part 3)
In Part 1, we explored the “problem landscape” and the operational nightmare of maintaining multiple product variants for SaaS, BYOC/VPC, and On-Prem. In Part 2, we outlined the platonic ideal: a singular product that can be deployed anywhere.
Now, here in Part 3, we are going to look under the hood. We will explain the technical architecture that enables to deliver your existing SaaS stack into any customer environment, without rewrites.
Beyond the Cluster: Tensor9's Next-Level Kubernetes Integration for Any-Prem Deployments
We're incredibly excited to announce a major upgrade to how we support Kubernetes with Tensor9. While our Terraform support enabled you to deploy and manage Kubernetes clusters, we wanted to give our customers deeper automation and integration.
Update Once, Deploy Everywhere with Tensor9’s New Release for Terraform/OpenTofu
We’re excited to announce that a major upgrade to the Tensor9 platform, native support for infrastructure as code as defined in Terraform compatible and OpenTofu configurations, is now available. This new capability works alongside our existing support for Docker and CloudFormation, and is the fastest, lowest-friction solution to the problem of adapting your software for cloud-prem deployment.
Your Data, Your Rules: AI’s Demand for Customer-Controlled Architectures
AI has broken the SaaS model. Cloud-Prem and Private AI architectures let enterprises bring compute to the data — not the other way around.
Is Your SaaS Stuck in 2018? The Rise of the Cloud-Prem Requirement
Today’s shifting market presents a massive opportunity for forward-looking SaaS and AI software providers to deliver their solutions into customer-owned environments. Learn more about what’s driving this trend and how Tensor9 is enabling the cloud-prem revolution.
A New Way to Try Out Tensor9
Ready to experience how simple it is for your customers to deploy your app into their own environment? Tensor9’s new free-to-use Customer Playground lets you deploy a sample app—including an AI model and chat interface—into your own AWS account in just a few minutes. This post provides an overview of how to get started.
How to Deploy Private AI Applications Across Enterprise Environments
Learn how Tensor9 enables SaaS and AI vendors to deploy and operate private, ChatGPT-like apps directly in enterprise customers’ AWS accounts.
Enterprise software delivery is hard, but there’s a better way. (part 2)
In an ideal world, your enterprise customers would simply trust your multi-tenant SaaS product to handle everything. Unfortunately, for many enterprise use cases, this wishful thinking collides with harsh realities: data sets that can’t be moved cost-effectively, sensitive data that’s too risky to hand over, and regulatory constraints that make data movement impossible. In this post, we’ll break down how current illusions of easy transformation fail, and what a more refined, practical model for customer-hosted deployments looks like.
Enterprise software delivery is hard, but there’s a better way. (part 1)
In the first post of this series, we’ll explain enterprise software delivery models and why they are so difficult and expensive to implement.
Announcing Tensor9’s $4M seed round
We founded Tensor9 to help SaaS vendors unlock enterprise customers that can’t share sensitive data. Today, I am excited to share that Tensor9 has raised a $4 million Seed round led by top investors.
On-Prem is back but it isn’t coming back the way it used to be
We’ve been thinking about on-prem wrong. We see two emerging trends related to on-premises software.
On-prem is now in the cloud. Software vendors are now offering cloud-first versions of on-prem that use cloud-native features. New terms emerging with this trend include “Containerized On-Prem” and “Bring Your Own Cloud” (BYOC).
Enterprises that pushed hard for SaaS first are re-evaluating SaaS deployment models in four use cases: operational resilience, heavy data in play, privacy and control, and privileged access.