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About

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?

About

OrbOps AI is an agentic infrastructure operations platform for DevOps, SRE, Platform Engineering, Cloud, and Security teams. O2 AI uses specialized AI agents to coordinate and automate workflows across CI/CD, releases, incidents, on-call, infrastructure, Kubernetes, security, access governance, provisioning, observability, and FinOps. The platform brings together context from source code, cloud infrastructure, Infrastructure as Code, monitoring, security, identity, and cost-management systems to help teams investigate issues, prepare deployment plans, correlate alerts, understand dependencies, and automate repetitive operations. OrbOps AI follows an Observe → Reason → Plan → Approve → Act → Verify model, combining agentic automation with human and policy controls for critical infrastructure actions. It is designed to work with existing DevOps ecosystems including GitHub, GitLab, Terraform, Kubernetes, AWS, GCP, Azure, Prometheus, Grafana, OpenTelemetry, PagerDuty, and Jira.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

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.

Audience

B2B

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

No images available

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 4.0 / 5
support 4.0 / 5

Pros & Cons from Real Users

Pros

  • - Cuts down significantly on manual ops toil — routine tasks that used to need hands-on intervention are now handled with much less effort - Access management is noticeably faster — fewer manual approval bottlenecks compared to a ticket-and-wait process - FinOps visibility is built into the same platform, so you're not stitching together a separate cost-management tool - Repo-to-production deployment is dramatically faster — takes our GitHub repo to our AWS cloud in about 45 minutes, and has cut client onboarding from days down to roughly 60 minutes from repo to live production Good fit for teams running AWS/GCP/Kubernetes/Terraform/ who want AIOps and DevOps Agents consolidated rather than fragmented across tools

Cons

  • Rewards a bit of ramp-up time like any automation platform, it takes a short adjustment period to get comfortable trusting the automated actions, but that trust builds quickly with use and They're still building out its ecosystem as a newer platform, the surrounding community and integrations are growing, with more third-party resources expected as adoption increases

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Autoheal
Founded: 2025
United States
autoheal.ai/

Company Information

OrbOps AI
Founded: 2025
India
www.orbops.ai

Alternatives

Alternatives

Categories

Agentic DevOps Supported
DevOps Supported

Categories

Agentic DevOps Supported

Integrations

Amazon Web Services (AWS) Not Supported
GitHub Not Supported
GitLab Not Supported
Google Cloud Platform Not Supported
Grafana Cloud Not Supported
Jira Not Supported
Kubernetes Not Supported
Microsoft Azure Not Supported
OpenTelemetry Not Supported
PagerDuty Not Supported
Prometheus Not Supported
Terraform Not Supported

Integrations

Amazon Web Services (AWS) Supported
GitHub Supported
GitLab Supported
Google Cloud Platform Supported
Grafana Cloud Supported
Jira Supported
Kubernetes Supported
Microsoft Azure Supported
OpenTelemetry Supported
PagerDuty Supported
Prometheus Supported
Terraform Supported
Claim Autoheal and update features and information
Claim Autoheal and update features and information
Claim OrbOps AI and update features and information
Claim OrbOps AI and update features and information