Harness the power of natural language to simplify complex cloud operations.
We are thrilled to announce a new way to interact with the Omnistrate platform: native Agentic AI integrations powered by our new MCP server. This innovation is set to redefine how you interact with your cloud infrastructure, making DevOps and SRE tasks more intuitive, efficient, and accessible than ever before for your distribution channels. Our MCP tools are purpose-built and deliver on the primarily value of an integration with an AI Agent: to sift through unstructured data from multiple data sources.
"Omnistrate gave us an enterprise-grade control plane without the need to hire or build one in-house. With their decade of expertise baked in, we launched faster, cut costs, and focused on growing our business from day one. Highly recommended for any team building a managed SaaS." - Peter Farkas - Co-Founder & CEO Ferret DB
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.
The recent stability issues at Neon provide a compelling case study of what happens when products grow beyond their initial architectural assumptions. Neon's experience—moving from a monolithic control plane to a cell-based architecture under pressure—illustrates a critical pattern in SaaS evolution: the inevitable need for horizontal scaling through cellular architecture.
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?
