SRE.ai: Automating the DevOps Layer for Enterprise Operating Systems
The advent of the agentic age has unleashed a tidal wave of opportunities far beyond simply having or training the best models. One of the biggest lies in automating every layer of the enterprise infrastructure stack. The most enduring infrastructure companies will be built by quietly replacing brittle, inefficient, manual workflows with systems that are composable, scalable, and agent-ready.
That’s exactly what SRE.ai is doing: embedding site reliability engineering (SRE) into the DNA of legacy enterprise platforms and becoming the reliability layer they’ve always lacked.
SRE.ai is building the foundational automation layer for low-code, monolithic platforms, beginning with Salesforce, turning what’s historically been a manual, services-heavy domain into one that’s structured, agent-ready, and developer-friendly.
We are thrilled to have led SRE.ai’s $7.2M seed round, alongside Salesforce Ventures, Y Combinator, and leading angel investors including Sohaib Abassi (Ex. Chairman & CEO of Informatica), Jeremy Roche (Founder & CEO of FinancialForce) and David Perry (Ex. VP of Sales at Confluent), all who have been instrumental in building numerous enterprise operating systems.
The Problem: No DevOps for Enterprise Operating Systems
Salesforce, SAP, and ServiceNow are the platforms that run the modern enterprise. But the infrastructure around them is outdated.
Despite years of “configurability” and “automation” claims, deploying changes on these platforms is still a manual slog. Salesforce, for instance, is known for its XML metadata sprawl, cascading dependencies, and lack of true version control. Many organizations still use spreadsheets, zip files, and large teams of release managers just to get changes into production.
The reason is simple: these low-code platforms evolved independently from modern DevOps tooling and best practices, with niche development flows that prevented them from fully benefiting from advancements in SDLC methodologies.
And yet they underpin trillions in global enterprise spend, much of it flowing through services: consultants, systems integrators, and especially managed service providers (MSPs). The MSP market alone is projected to reach $750B by 2030, with a growing share dedicated to managing and customizing platforms like Salesforce and SAP. These MSPs are the invisible engine keeping enterprise systems running – trapped in fragile, manual processes.
What SRE.ai Is Building
SRE.ai is a modern, AI-native DevOps platform built specifically for the enterprise platforms others treat as un-automatable.
Their first product is a full deployment, versioning, and orchestration layer for Salesforce, enabling safe, reliable, and automated releases – without needing a team of DevOps engineers.
Under the hood, SRE.ai’s intelligent agent system:
- Resolves deployment conflicts and complex dependency chains
- Automatically provisions isolated developer environments
- Abstracts metadata complexity for both developers and admins
- Provides composable automation primitives MSPs and integrators can build around
Why It Matters
Platforms like Salesforce and SAP are absorbing more critical business logic every year, and they’re not going anywhere. But the infrastructure around them has failed to evolve.
We believe:
MSPs are the DevOps teams of the enterprise OS era. Thousands of them operate as the outsourced engineering arms for enterprises that don’t have the internal bandwidth or tooling to automate these platforms.
AI-native automation will redefine this market. SRE.ai doesn’t just help internal teams go faster – it enables a new generation of agent-augmented MSPs to operate at scale, with dramatically higher margins, faster implementation cycles, and less risk.
Enterprises will always need to outsource complexity and tap into best-of-breed expertise and tooling – especially in environments where internal teams lack the capacity or infrastructure to automate effectively.
This is the long-overdue automation layer for the service-heavy world of enterprise software. SRE.ai isn’t just replacing tooling—it’s replacing the manual service workflows that entire industries have been built on.
SRE.ai: The New Engine for MSPs
If MSPs are the backbone of enterprise software delivery, SRE.ai is becoming the engine. Its automation primitives, agent-ready orchestration, and opinionated abstractions give service providers the foundation to scale without needing to scale headcount.
SRE.ai empowers MSPs to:
- Package repeatable deployment patterns across clients
- Eliminate low-margin manual work through automation
- Deliver consistency, velocity, and reliability at scale
By enabling MSPs, SRE.ai inserts itself into the workflows of thousands of enterprises, turning services into software and positioning itself as the infrastructure layer for how enterprise change gets done.
A Market Too Big to Ignore
There’s a reason why platforms like Salesforce, SAP, and ServiceNow haven’t solved this themselves. The truth is: they profit from the chaos. For every $1 in license spend on Salesforce, $4-5 is spent on services – consulting, DevOps, manual deployment, and configuration. Automating that away isn’t in their interest, which is why they’ve left the DevOps layer to third-party vendors.
Salesforce, SAP, and ServiceNow collectively power over $2 trillion in enterprise ecosystem spend. Salesforce alone supports a $1.6 trillion partner economy, SAP drives more than $200B in annual enterprise services spend, and ServiceNow sits at the center of a $70B+ IT services ecosystem.
The opportunity is bigger than just deployments. It’s about turning these sprawling, monolithic systems into programmable, scalable, and eventually agent-controllable environments. That applies to internal teams and to MSPs and SI partners who serve as the outsourced DevOps arm for thousands of enterprises.
The Founders
Raj Kadiyala and Edward Aryee bring both technical depth and operational pragmatism. They met at DeepMind and Google Research, where they built automation infrastructure at massive scale. They’ve taken those lessons about reliability, agents, and scale and applied them to the messy, high-value world of enterprise software.
What’s Next
Agentic systems will only be as effective as the infrastructure they sit on.
SRE.ai is building that infrastructure for in-house teams, systems integrators, and the $750B MSP market.
We’re proud to back Raj, Edward, and the entire SRE.ai team as they modernize the beating heart of enterprise software.
–Max Chapman, Crane Venture Partners
