AI SRE

As described on AWS Marketplace.

As AI tools rapidly proliferate across enterprise technology stacks, they introduce a new operational risk. Production reliability has always been difficult, but with AI accelerating software delivery, dependencies, system changes, and failure modes are multiplying, making incidents more frequent and harder to contain. Traditional observability tools generate more data, not answers, leaving engineers to stitch together dashboards, alerts, and fragmented signals while relying on correlation that breaks down under concurrent system changes. Traversal addresses this challenge directly: it has built the first and only AI SRE deployed within the Fortune 100, bringing causal reasoning to production at enterprise scale. Trusted by enterprise leaders, Traversal combines a security-first architecture and complete data sovereignty with a deep technological advantage built on five core capabilities. Agentless Data Capture™ ingests telemetry, code, deploys, incidents, and more without sidecars, pod injections, or distributed tracing. AI-Native Compressor™ reduces production data by up to 1,000:1 without signal loss, preserving the causal context needed to solve incidents while keeping networking and LLM costs under control. Production World Model™ serves as the living brain of production: a dynamic, continuously updating map of the causal relationships across services, dependencies, code, changes, and incident history. Knowledge Bank™ captures the operational knowledge that does not live in telemetry alone - from docs, runbooks, Slack, and tribal knowledge - and integrates it into the Production World Model™ so AI can reason with the same context your team does. Causal Search Engine™ then follows signals across 5, 10, or 20+ hops in systems and time, running hundreds to thousands of intelligent queries to test causal paths and converge on a confident root cause, not just the nearest symptom. Together, these capabilities allow Traversal's proprietary AI agent architecture to separate signal from noise, detect issues early, identify root cause in minutes, and drive remediation before incidents become outages.

Highlighted by the publisher on AWS Marketplace.

Production World Model™: Our living model of your production. Traversal automatically builds a dynamic, machine-readable map of the causal relationships across your services, dependencies, code, changes, and incident history. It continuously self-updates to reflect how your environment actually works, giving AI the full production context needed to reason across complex, fast-changing systems.

Causal Search Engine™: Our causal engine for production investigation. Traversal follows signals across 5, 10, or 20+ hops in systems and time, pinpointing root cause in minutes. By running up to 10,000 intelligent queries in the time standard API-driven approaches run 100, testing multiple causal paths in parallel, and collapsing on the most confident answer, it finds the true, evidence-backed root cause, not just the nearest symptom.

As stated by the publisher on AWS Marketplace.

All fees are non-cancellable and non-refundable except as required by law.