In previous posts, we explored BYOA deployments, AI job scheduling, and cost control and insights. In this blog, we focus on the performance accelerators and scalability layers Omnistrate offers out of the box—purpose-built for AI workloads that demand fast startup, efficient resource usage, and intelligent scaling.
Let’s dive into four features that can supercharge your AI deployment strategy.
In our previous blogs, we discussed two foundational pillars of AI infrastructure: BYOA (Bring Your Own Account) for secure, scalable deployments and Jobs Support for managing bursty and scheduled workloads.
Now, in Part 3, we’re diving into something that’s just as critical for AI workloads: cost controls and infrastructure insights. Because while scaling AI is powerful, scaling it without cost awareness is risky.
Omnistrate, the industry's first SaaS Control Plane as a Service, has launched a powerful new Jobs controller paradigm that enables businesses to efficiently manage and execute workloads across multiple environments. This feature extends Omnistrate's ability to transform cloud applications into enterprise-ready B2B SaaS services by providing robust job scheduling, resource optimization, and workload management capabilities.
On March 7th, 2025, we kicked off the inaugural session of SaaS Mondays, Live on Fridays, a new biweekly LinkedIn Live series dedicated to fostering discussions among SaaS builders, founders, and industry leaders. Hosted by Michael Cooper (GTM Lead, Omnistrate), the session featured insights from:
Our first discussion centered on the pressing question: How will AI impact SaaS builders? Below, we explore the key takeaways from this dynamic conversation.
Applications are only as good as the data that powers them, and companies are putting more and more restrictions on where their proprietary data is accessible from. In 2025 we see these issues accelerating even faster, as companies will find even more reasons to not allow their proprietary data outside of their realm of control.
This means that new applications must be designed with data access in mind, and all new applications must have the ability to be deployed next to their customer’s data, in both physical location (data center) as well as realm of security control (cloud account ownership).
"We chose Omnistrate because it empowered us to deliver on our promise to create a safety-first approach to building & managing AI Applications. The Omnistrate Control Plane as a Service streamlined our deployment process, eliminated infrastructure complexity, and allowed us to focus on innovation and customer experience. With Omnistrate’s robust capabilities, we launched ahead of schedule, under budget and our customers are able to securely deploy our solution anywhere they need it." Haroon Choudery, CEO Autoblocks AI
In the world of B2B applications, tenancy is more than just a way to onboard new customers. It’s a critical architectural component that enables efficient resource management, customization, and security, all while scaling effectively. At Omnistrate, we understand that for a B2B AI app to be robust and truly multi-tenant, tenancy must be seamlessly integrated and managed from day one.
Building a B2B AI application involves several critical steps, from data collection to deployment and operations management.
Here's an updated workflow to guide you through the process: