In the software industry, entrepreneurs have to go through 4 phases of innovation to build a product:

Idea: What change are they trying to make?

Design: How will their users interface with their product and services?

App: Build the core software using LLMs, and other building blocks

Product: Build the distribution engine to distribute their App to rest of the world

For the last mile to go from (Agentic) App to Product, organizations have to build multiple distribution engines. The Control Plane is nothing but an Operating system for those distribution models.

At Omnistrate, we're solving the challenge of giving developers a platform to build their own control planes and deploy them in their own cloud accounts — making it easier to support any distribution model. In other words, Omnistrate is a developer platform for building and scaling any distribution model.

There are several types of distribution models in the software industry and they are constantly evolving from:

OnPrem

Many of us are familiar with the traditional on-premises distribution model, where the software provider asks clients to purchase a license (for proprietary software), visit an artifacts library, choose a version, download the software, install it, and then begin using it.

Day-2 operations — such as upgrades and troubleshooting — are manually managed by the client, often through direct coordination with the provider or via the community in the case of open-source software

Cloud OnPrem is also a type of OnPrem where the clients are going to deploy the software in their cloud account. However, it enables the distributor to constraint the environment and set of tooling that they have to support for their client base, making the distribution a lot easier with the standardization.

Similarly, Open source software (OSS) is also a special type of OnPrem distribution. Other examples include App Store, Microsoft Office disks are all examples of OnPrem distribution.

Startups that have built their application and are ready to go to market often begin with a basic OnPrem distribution model. This is typically the first step to gain field experience and gradually build more advanced distribution channels.

In many cases, OnPrem is not just a short-term solution — it becomes a long-term necessity, especially for reaching customers operating in air-gapped or private data center environments, where this is the only viable delivery method.

Common challenges in this model include packaging, versioning, deployment templatization, seamless upgrade paths, collecting basic troubleshooting data (logs/metrics), and enforcing licensing to prevent unauthorized use.

BYOC (Bring Your Own Cloud) CoPilot

If the provider wants to extend OnPrem model by automating deployments within the customer’s cloud account — across any cloud provider and region. Customers simply provide access to their cloud account, and the provider takes care of the rest, including Day-2 operations like upgrades and troubleshooting. Examples: StarTree BYOC, Redpanda BYOC

Startups and SMBs that have scaled to a dozen or more deployments typically face the need to automate delivery across customer environments. BYOC is a natural evolution of the traditional OnPrem model — one that enhances the customer experience by removing deployment complexity, upgrade burden, and operational overhead.

Common Challenges:

• Automating deployments and seamless upgrades across clouds and regions
• Ability to be deploy in the customers account seamlessly
• Streamlining Day-2 operations for visibility and troubleshooting

PaaS [Fully-Hosted / BYOC]

In this model, clients don’t need to coordinate directly with the software provider to deploy the product. Instead, they can self-serve: request a deployment on demand, configure it to their needs, and start using it immediately. In other words, this model enables Product-Led Growth (PLG) by removing manual bottlenecks from provisioning. Examples: AWS RDS, Confluent Cloud (Dedicated), Databricks Importantly, these PaaS deployments can run either in the provider’s cloud account or the customer’s own cloud account (BYOC). SMBs and enterprises that have found product-market fit and want to scale their PLG motion by building: self-serve deployments, usage-based billing and, automated operations at massive scale — reliably, securely, and cost-effectively

Common Challenges:

• Seamless tenant onboarding and self-serve provisioning with guardrails
• Supporting a wide range of customer journeys — from trials to enterprise-grade deployments
• Evolving the platform to meet compliance, isolation, and customization needs without rebuilding distribution infrastructure at every stage

SaaS

In this model, clients don’t even need to create or configure instances. They simply get an endpoint that just works — no tuning, no deployment logic. The application is smart enough to handle a broad range of use cases and automatically adjust based on usage. However, while the infrastructure is dynamic, the application workflows remain mostly static for all users. Examples: Confluent Cloud (Standard/Enterprise), HubSpot, Rippling SMBs and enterprises that have already achieved product-market fit and want to:

• Scale their PLG motion
• Deliver a frictionless, SaaS-native experience

For these companies, operating at scale in a reliable, compliant, cost-effective way is necessary — but not sufficient. They want users to focus entirely on outcomes, not infrastructure. If you’ve already built a PaaS, the next step is to reimagine your customer experience: Move away from deployment-centric thinking — and toward simply offering a usage endpoint.

Customers shouldn’t need to configure deployments or tune for scale, cost, or security. The endpoint they receive should be pre-optimized, auto-scalable, secure, and ready to evolve as their usage grows.

Agentic SaaS

This builds on the previous model, but with one key difference: the application workflows are also customized or personalized.

The future lies in agentic applications — where each customer gets a tailored experience based on their organization, workloads, and data. These personalized systems don't just serve generic use cases; they adapt to each customer's context and can be leveraged to solve broader, adjacent problems. Examples: Netflix, ChatGPT, Spotify

SMBs and Enterprises who are on the forefront of reimagining the experiences for their customers and want to build personalized experiences. If you have built your SaaS, you need to reimagine your customer experience further to make it personalized.

Conclusion

At Omnistrate, we are on the mission to build the developer platform for others to build their control planes (operating system of distribution model) so that every company doesn't have to reinvent the wheel.

To learn more about the technical details, check out my earlier blogs:

• https://blog.omnistrate.com/posts/151
• https://blog.omnistrate.com/posts/150
• https://blog.omnistrate.com/posts/149

If you are looking to build one or have any questions or would like to discuss more on the topic, I would love to chat more. Here is our calendly: https://calendly.com/omnistrate

If you would like to stay connected, follow us here: https://www.linkedin.com/company/omnistrate/ or join our community group: http://saasmondays.com/