SRE.ai
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
Category
SRE / DevOps agent
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Salesforce, SAP, ServiceNow, AWS, GCP and Azure plus communication, ticketing and version control systems.
Sources & related URLs
Research sources
Agentic Index coverage score
8.0 / 14 capabilities · 57%
| Integrations & Tool Calling | Full |
|---|---|
|
SourceDeep cross-platform integrations spanning Salesforce, SAP, ServiceNow, AWS, GCP and Azure plus communication, ticketing and version control systems, SRE.ai siteread 2026-07-22 |
|
| Workflow Orchestration | Full |
|
SourceA deployment and orchestration layer that automates CI/CD workflows, merge conflict resolution, environment spin-up, canary releases and rollback via chat commands, SRE.ai siteread 2026-07-22 |
|
| Knowledge Grounding & RAG | Full |
|
SourceBuilds system understanding with real-time dependency mapping and metadata awareness and produces impact reports, SRE.ai siteread 2026-07-22 |
|
| Human Oversight & Guardrails | Full |
|
SourceConfigurable human-in-the-loop verifications and access controls with transparent executions that flag compliance issues, policy violations and approval gaps, SRE.ai siteread 2026-07-22 |
|
| Security, Identity & Governance | Partial |
|
SourceProvides access controls and flags compliance issues, policy violations and approval gaps, though specific certifications are not documented in retrieved sources, SRE.ai siteread 2026-07-22 |
|
| Observability & Auditability | Partial |
|
SourceMonitors deployment and system health with predictive alerting and real-time dependency mapping, focused on the release layer rather than full-stack observability, SRE.ai siteread 2026-07-22 |
|
| Memory & State Persistence | Partial |
|
SourceMaintains context across handoffs and organizes engineering process information, though no distinct persistent memory or learning architecture is documented, SRE.ai siteread 2026-07-22 |
|
| Deployment & Data Residency | Partial |
|
SourceDeployed as agents that integrate into the client's existing stack; self-host or residency options are not documented, SRE.ai siteread 2026-07-22 |
|
| Prebuilt Agents, Templates & Packs | Partial |
|
SourceProvides composable automation primitives and customizable executable workflows rather than a fixed prebuilt agent catalog, SRE.ai siteread 2026-07-22 |
|
| Triggers & Channel Coverage | Partial |
|
SourceDriven through a chat interface and deployment triggers with predictive alerting on releases, rather than broad incident alert-channel coverage, SRE.ai siteread 2026-07-22 |
|
| Model Flexibility & Routing | Unable to verify |
|
SourceNo customer facing model choice or routing documented, SRE.ai siteread 2026-07-22 |
|
| APIs, SDKs & MCP Extensibility | Partial |
|
SourceExposes composable automation primitives that MSPs and integrators can build around, though a formal public API, SDK or MCP surface is not detailed, SRE.ai siteread 2026-07-22 |
|
| Testing, Debugging & Optimization | Partial |
|
SourceRuns simulations, impact reports and automated testing in ephemeral environments to verify release behavior before production, SRE.ai siteread 2026-07-22 |
|
| Browser & Computer Use | Unable to verify |
|
SourceOperates through chat and integrations rather than browser or computer interface control, SRE.ai siteread 2026-07-22 |
|
The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Contact sales / book a demo (enterprise)
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
Related vendors
- Alertd — Agentic AI SRE and DevOps platform for AWS that analyzes cost,…
- Anyshift — AI SRE agent that investigates production incidents by tracing…
- Avesha — Autonomous AI SRE platform whose coordinated agent swarm monitors,…
- Beeps — Agent native on call platform that routes incidents to humans and AI…
- Better Stack — AI native incident management with built in on call and status…
- Bluebricks — Context and control layer that lets AI agents operate cloud…
Alternatives to SRE.ai
The closest documented capability profiles to SRE.ai among SRE and DevOps agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Anyshift8.5 / 14Fuller documented coverage on Triggers & Channel Coverage
- Harness8.0 / 14Fuller documented coverage on Triggers & Channel CoverageSRE.ai vs Harness →
- Kura7.0 / 14A lighter documented profile than SRE.ai
- Metoro8.5 / 14Fuller documented coverage on Observability & Auditability and Triggers & Channel Coverage
- Phoebe7.5 / 14Fuller documented coverage on Triggers & Channel Coverage
- Ciroos AI8.0 / 14Fuller documented coverage on Triggers & Channel Coverage and APIs, SDKs & MCP Extensibility
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded