SRE.ai plans an AI-driven DevOps platform to deploy custom software across multiple SaaS application platforms. The company raised $7.2 million as low-code/no-code and AI tools increase the volume of generated code. The platform will use AI to automate deployments while embedding DevOps best practices and observability to prevent existing workflows from being overwhelmed. Organizations aim to centralize management of custom SaaS extensions to reduce tooling sprawl and avoid separate niche DevOps stacks. SRE.ai will act as a translation layer between platforms, developer workflows, and IT governance, enabling scalable automation accessible to administrators and developers regardless of engineering expertise.
Fresh off raising $7.2 million in funding, SRE.ai CEO Raj Kadiyala said as the volume of code developed using low-code/no-code and, more recently, artificial intelligence (AI) tools increases, there needs to be a more automated approach to deploying that software based on best DevOps processes that also enables software development teams to monitor and observe those applications. At the core of that effort is a platform that will leverage artificial intelligence (AI) technologies to automate the deployment
In effect, SRE.ai acts as a translation layer between business-critical platforms, developer workflows, and IT governance to automate DevOps workflows at scale in a way that is easily accessible to any developer regardless of their software engineering expertise, he added. It's still early days so far as usage of AI to automate the backend of software development workflows is concerned, but as more applications are built using AI agents
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