Autoheal

What is Autoheal?

Autoheal is a multi agent AI platform built for production engineering in enterprise environments. It triages alerts, investigates root causes, and proposes fixes for site reliability and support engineering teams. The platform maps your infrastructure, code, and tribal knowledge into a live production context graph.

Top Features:

• Production Context Graph: maps services, code, tools, and team knowledge into one live model in real time.
• Alert Triage: automatically processes incoming alerts and proposes root cause hypotheses for on call engineers quickly.
• Decision Traces: every agent action gets documented with reasoning for full transparency and easier reviews.
• Custom AI Skills: automatically generated for your specific stack, tools, and operational playbooks over time.
• Service Ownership Catalog: live mapping of services to teams keeps on call routing accurate as orgs grow.

Use Cases:

• AI Site Reliability Engineering: accelerate response to outages with autonomous investigation and mitigation suggestions.
• Agentic Incident Management: agents coordinate triage, postmortems, and engineer handoffs across production incidents end to end.
• AI Support Engineering: resolve customer escalations faster by connecting product issues to underlying infrastructure data.

Who Can Use Autoheal?

• SRE Teams: reduce alert fatigue and speed up incident response with autonomous AI agents handling triage.
• Support Engineering Teams: connect customer tickets directly to infrastructure context for faster escalation resolution.
• Enterprise Engineering Orgs: centralize production knowledge across teams, tools, and services into one live graph.

Pricing

• Custom Enterprise Plan (contact sales): pricing depends on team size, tool integrations, and production scale needs.
• Live Demo (free): book a guided demo to evaluate Autoheal for your specific production environment.
• Pilot Programs (custom): enterprise pilots available for teams validating fit before signing full annual contracts.

Pros and Cons

Pros:

• Built for Enterprise: team brings experience from Harness, ThoughtSpot, and Microsoft Azure to production engineering problems.
• Full Audit Trail: decision traces document every agent step for compliance, learning, and team review needs.
• Multi Agent Architecture: specialized agents handle triage, investigation, and remediation across the full incident lifecycle.

Cons:

• No Public Pricing: potential buyers must contact sales for any cost information up front.
• Enterprise Focus: smaller teams and startups may find onboarding overhead too heavy for their needs.
• New Platform: recently launched, so case studies and long term reliability data remain limited today.

FAQs:

1) What is the Production Context Graph?

it is a live map of your infrastructure, code, tools, and team knowledge updated continuously in real time.

2) Does Autoheal require human approval for fixes?

yes, the platform proposes mitigating fixes that engineers review and approve before any action gets applied.

3) What kinds of teams benefit most from the platform?

SRE, support engineering, and production engineering teams at mid sized to large enterprise companies benefit most.

4) How does pricing work?

pricing is custom based on team size, integrations, and production scale, available through direct sales contact only.

5) Can it integrate with existing observability tools?

yes, the platform connects with existing infrastructure, monitoring, and incident response tools through standard integrations.