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SRE.ai

Q: Who is SRE.ai for?

enterprise, Salesforce development teams, MSPs and integrators, DevOps teams

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SRE / DevOps agentindependentVerified 2026-07-22

Natural language AI agents that automate enterprise DevOps workflows including on call, CI/CD and testing.

SRE.ai builds natural-language AI agents for complex enterprise DevOps, with a first product that is a full deployment, versioning and orchestration layer for low-code platforms like Salesforce, extending to SAP and ServiceNow. Through a chat interface, its agents automate CI/CD workflows, resolve metadata and merge conflicts, spin up and tear down isolated environments, run simulations and impact reports, and handle canary releases and rollback, with configurable human-in-the-loop verifications, access controls and compliance checks. It integrates across Salesforce, SAP, ServiceNow, AWS, GCP and Azure plus communication, ticketing and version control tools. Founded in 2024 by former Google Research and DeepMind engineers, SRE.ai is a Y Combinator company that raised a 7.2 million dollar seed round led by Salesforce Ventures and Crane Venture Partners.

Vendor details

Canonical URL

https://www.sre.ai

Company status

independent

Use cases & customers

Primary use cases

low-code DevOps automationCI/CD and deployment orchestrationmerge conflict resolutionrelease testing and rollback

Target customers

enterpriseSalesforce development teamsMSPs and integratorsDevOps teams

Deployment options

SaaS (agents integrate into your stack)

Integrations

Salesforce, SAP, ServiceNow, AWS, GCP and Azure plus communication, ticketing and version control systems.

Sources & related URLs

Research sources

https://www.sre.ai https://github.com/agamm/awesome-ai-sre

Capability coverage

8.0 / 14 capabilities · 57%

Integrations & Tool CallingDeep cross-platform integrations spanning Salesforce, SAP, ServiceNow, AWS, GCP and Azure plus communication, ticketing and version control systems, SRE.ai site 2026-07-22	Full
Workflow OrchestrationA deployment and orchestration layer that automates CI/CD workflows, merge conflict resolution, environment spin-up, canary releases and rollback via chat commands, SRE.ai site 2026-07-22	Full
Knowledge Grounding & RAGBuilds system understanding with real-time dependency mapping and metadata awareness and produces impact reports, SRE.ai site 2026-07-22	Full
Human Oversight & GuardrailsConfigurable human-in-the-loop verifications and access controls with transparent executions that flag compliance issues, policy violations and approval gaps, SRE.ai site 2026-07-22	Full
Security, Identity & GovernanceProvides access controls and flags compliance issues, policy violations and approval gaps, though specific certifications are not documented in retrieved sources, SRE.ai site 2026-07-22	Partial
Observability & AuditabilityMonitors deployment and system health with predictive alerting and real-time dependency mapping, focused on the release layer rather than full-stack observability, SRE.ai site 2026-07-22	Partial
Memory & State PersistenceMaintains context across handoffs and organizes engineering process information, though no distinct persistent memory or learning architecture is documented, SRE.ai site 2026-07-22	Partial
Deployment & Data ResidencyDeployed as agents that integrate into the client's existing stack; self-host or residency options are not documented, SRE.ai site 2026-07-22	Partial
Prebuilt Agents, Templates & PacksProvides composable automation primitives and customizable executable workflows rather than a fixed prebuilt agent catalog, SRE.ai site 2026-07-22	Partial
Triggers & Channel CoverageDriven through a chat interface and deployment triggers with predictive alerting on releases, rather than broad incident alert-channel coverage, SRE.ai site 2026-07-22	Partial
Model Flexibility & RoutingNo customer facing model choice or routing documented, SRE.ai site 2026-07-22	Unable to verify
APIs, SDKs & MCP ExtensibilityExposes composable automation primitives that MSPs and integrators can build around, though a formal public API, SDK or MCP surface is not detailed, SRE.ai site 2026-07-22	Partial
Testing, Debugging & OptimizationRuns simulations, impact reports and automated testing in ephemeral environments to verify release behavior before production, SRE.ai site 2026-07-22	Partial
Browser & Computer UseOperates through chat and integrations rather than browser or computer interface control, SRE.ai site 2026-07-22	Unable to verify

Pricing

Contact sales / book a demo (enterprise)

Contact onlyHigh variable cost

What is public

No public pricing; enterprise DevOps automation, book a demo.

Variable cost rationale

No public pricing; enterprise and sales quoted.

Sales call required

Yes — required for paid access

Free / trial

Demo

Verified 2026-07-22

Data confidence: medium