Autoheal

Autoheal is an AI platform for Site Reliability Engineering (SRE) in regulated enterprises like finance, healthcare, and government. It helps incident investigators triage alerts, find root causes, and automate remediation workflows—all while providing audit-grade traceability. The platform ingests observability data from tools like CloudWatch, Datadog, and Grafana to build a live Production Context Graph that maps services, teams, and ownership. When an alert fires, Autoheal normalizes and deduplicates it, runs evidence-backed hypotheses through a Verifier Agent (an LLM-as-judge), and proposes root cause fixes with confidence scores. On-call engineers can accept, modify, or reject suggestions; the system records Decision Traces capturing the 'why' for each step, and automates postmortems with structured 5-Why analysis and PR generation. What differentiates Autoheal is its compliance-focused architecture: Hallucination-Proof Reasoning (every step grounded in observable evidence), Zero-Trust Agentic Runtime (built on Cedar, AWS's IAM engine), and BYOC/BYOK deployment for data privacy. The company recently achieved ISO 27001 and SOC 2 Type 2 certifications, reinforcing its enterprise security posture. Unlike general-purpose AI assistants or traditional incident management tools, Autoheal is purpose-built for high-assurance environments. It reduces MTTR and MTTD from hours to minutes while maintaining a complete audit trail. However, its contact-only pricing and enterprise focus may exclude smaller teams.