Bringing software to the cloud is only half the challenge—proving it’s secure, compliant, and enterprise-ready is what unlocks adoption in regulated industries and large-scale procurement pipelines. That’s why we’re excited to announce our partnership with Brownstone Consulting, combining Omnistrate’s modern cloud automation platform with Brownstone’s compliance and security expertise.
Together, we offer software vendors and platform teams a faster, integrated path to launch and scale managed cloud services across AWS, Azure, GCP, or on-prem environments—with GDPR, NIST 800-53, SOC 2, ISO 27001, HIPAA, and FedRAMP compliance built in.
Organizations today face mounting pressure to deliver AI capabilities while managing exploding infrastructure costs. GPU expenses can easily consume your AI budget, yet most organizations are unknowingly wasting massive amounts of these expensive resources through inefficient allocation strategies.
The solution lies in GPU sharing strategies that transform expensive, underutilized hardware into highly efficient, multi-tenant resources that serve multiple workloads simultaneously.
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 software distribution channels. The most common ones are OnPrem, BYOC, PaaS, SaaS and Agent-as-a-Service (AaaS).
Now in Part 3, we turn to the solution: What if you didn’t have to abandon your existing stack, but could augment it with a purpose-built control plane, one that handled tenant lifecycle, deployment orchestration, and multi-cloud complexity out of the box?
Imagine a data analytics SaaS startup, “DataCo”, that wants to build Redis SaaS as an example. They use Argo CD to deploy their analytics application (a set of microservices + some Spark jobs) onto the EKS cluster.
Modern platform engineering teams often assemble “DIY” control planes for their Products using open-source building blocks: Kubernetes for the runtime, Terraform for infrastructure provisioning, and Argo CD for continuous deployment. This stack promises cloud-agnostic flexibility and full control. But as many CTOs and platform VPs have learned, stitching these tools together into a robust control plane is hard.
