SRE.ai

SRE.ai positions itself around a simple idea: enterprise software delivery should run on autopilot. Instead of stitching together separate tools for deployments, change tracking, documentation, and monitoring, the platform gathers these workflows into a single Command Center dashboard where teams can control releases, follow changes, and watch system health in one place. Alongside the dashboard sits Agent Assist, a set of AI teammates that code, test, and deploy continuously, giving a team extra throughput without adding headcount.

The platform is marketed heavily toward Salesforce teams, where deployment risk, release orchestration, and error resolution are everyday concerns. SRE.ai advertises stable automation, observability, and built-in intelligence for those environments, and also lists ServiceNow and Oracle among supported enterprise systems. Its core capability areas include automatic documentation generated from actions and system changes, real-time guidance meant to prevent technical debt, rollback protection and release orchestration, automated testing with ephemeral environments, and proactive detection and resolution of issues before they reach users.

Governance and continuity are framed as first-class concerns. SRE.ai describes itself as an intelligent safety net that flags compliance issues, policy violations, and approval gaps before they turn into incidents, and it supports de-risking deployments across any environment. The company is backed by Salesforce Ventures, Crane Venture Partners, and Y Combinator, and announced a $7.2M seed round, which suggests active development. Pricing is not published and is handled through a sales conversation.