
SRE.ai
AI-powered automation platform for DevOps teams, focusing on helping development teams building on Salesforce Clouds.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
investor | €0.0 | round | |
* | $7.2m | Seed | |
Total Funding | 000k |
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SRE.ai is a technology firm providing an AI-powered automation platform designed to streamline DevOps workflows, with an initial focus on the Salesforce ecosystem. The company was established in 2024 by Chief Executive Officer Raj Kadiyala and Chief Technology Officer Edward Aryee. Both founders are engineers with prior experience at Google Research and DeepMind, where they identified a gap between the sophisticated internal tooling at tech giants and the solutions available to most enterprise development teams. This observation, coupled with frustrations voiced by other engineers over tedious tasks like managing metadata conflicts, inspired the creation of SRE.ai.
The San Francisco-based company operates by deploying AI agents that integrate into a client's existing technology stack, including communication, ticketing, and version control systems. These agents automate a range of complex and often manual DevOps tasks. Functionally, the platform allows users to interact via a chat-based interface to perform actions such as deploying code, configuring and executing workflows, and querying for information. Key features include automating CI/CD pipelines, resolving merge conflicts, and spinning up temporary testing environments, complete with simulations and impact reports to verify release behavior before production. The system also includes a rollback tool to revert faulty updates and can be configured for canary releases, where new code is initially exposed to a limited user base. The AI agents are designed to learn from historical data, enabling them to auto-resolve issues based on past context.
SRE.ai targets enterprise clients, particularly those with growing Revenue Operations and Salesforce development organizations that face increasing complexity, technical debt, and information silos. The business aims to improve developer productivity, shorten release timelines, and enhance risk management by providing a more unified and intelligent operational framework. The company has secured significant market validation, emerging from stealth with a $7.2 million seed funding round co-led by Salesforce Ventures and Crane Venture Partners. As a member of Y Combinator's Fall 2024 batch, SRE.ai plans to use the capital to expand its team of AI engineers and Salesforce experts. While its initial product is tailored for Salesforce, the company has indicated plans to extend its platform's capabilities to other enterprise ecosystems, including ServiceNow, Jira, AWS, GCP, and Azure.
Keywords: Salesforce DevOps, AI agents, DevOps automation, low-code development, CI/CD automation, release management, merge conflict resolution, enterprise software, site reliability engineering, Y Combinator, Google DeepMind alumni, Salesforce Ventures, automated testing, infrastructure automation, technical debt reduction, workflow automation, cloud development, RevOps, environment management, impact analysis, automated rollback