Audience

Mid market and enterprise engineering teams running complex production systems. SRE leaders, Platform Engineering teams, Heads of Support Engineering, VPs of Engineering, and CISOs at fintech, SaaS, healthcare technology, and other reliability critical industries.

About Autoheal

Autoheal actively investigates alerts, hypothesizes root cause, and proposes mitigating fixes under human supervision. It also automates the postmortem phase completely. At its core is the Production Context Graph (PCG), a continuously updating, living map that connects your infrastructure, application logic, production tools and tribal knowledge in real-time. The PCG is built through autonomous exploration of your observability, cloud and code stack, and iteratively refined by a Reinforcement Learning loop as you use Autoheal. On top of the PCG lies a Multi-Agent Platform of specialized agents that collaborate with humans to solve production problems safely and efficiently.

For AI agents focused on production engineering to succeed in real-world enterprise deployments, three crucial gaps must be addressed.

The Context Gap: can the AI navigate my organization’s fragmented context?

The Trust Gap: can I trust the AI to strictly adhere to my organization’s security policies?

Integrations

No integrations listed.

Ratings/Reviews

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features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Company Information

Autoheal
Founded: 2025
United States
autoheal.ai/

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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux

Autoheal Frequently Asked Questions

Q: What kinds of users and organization types does Autoheal work with?
Q: What languages does Autoheal support in their product?

Autoheal Product Features

DevOps

Approval Workflow Not Supported
Dashboard Not Supported
KPIs Not Supported
Policy Management Not Supported
Portfolio Management Not Supported
Prioritization Not Supported
Release Management Not Supported
Timeline Management Not Supported
Troubleshooting Reports Not Supported