Traversal is an AI SRE platform that helps enterprises autonomously prevent, diagnose, and remediate production incidents at scale. Validated within the Fortune 100 and backed by Sequoia and Kleiner Perkins, Traversal captures petabytes of telemetry, code, and production data to build a continuously updated Production World Model™ of your environment. Its Causal Search Engine™ runs thousands of targeted investigations in parallel, following signals across systems and time to identify true root cause in minutes instead of hours - and to prevent incidents before they occur. Built for enterprise-scale complexity, Traversal helps teams move beyond correlation-driven observability to causal understanding and faster, more reliable production operations. Traversal is trusted by companies like American Express, Pepsi, and DigitalOcean, and was founded by AI researchers from MIT, Columbia, Berkeley, and Cornell.
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.
Highlights
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.
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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AI SRE Capabilities to chat with your telemetry, triage alerts, and conduct incident root cause analysis. Please request a private offer to discuss a custom quote.
This listing has one pricing dimension: AI SRE Capabilities, billed in Units under a contract. These capabilities let you chat with your telemetry, triage alerts, and run incident root cause analysis. There are no separate tiers or instance sizes to choose from. Pricing is not published on the table. Instead, you request a private offer to receive a custom quote based on your needs. This means the amount you pay is negotiated directly with the vendor rather than set by fixed unit rates shown here.
Top-of-mind questions for buyers
What does one AI SRE Capabilities unit actually cover?
A unit represents the platform's core functions: chatting with your telemetry in natural language, triaging alerts to catch issues early, and running incident root cause analysis across services and dependencies. These functions work together to isolate causes and suggest remediation paths.
What deployment and data access model does this product use?
The platform captures data through a read-only, API-based method with push and pull support, so it does not require sidecars installed in your environment. It also offers a bring-your-own-cloud deployment option, letting the vendor build production context on your behalf without extra work on your end.
Does the product need manual tuning or a dedicated engineering team to run?
No. The system learns from your runbooks, documentation, and how your team investigates, without manual tuning. It builds a live map of your production entities and their causal connections automatically, so you do not need to maintain extra context yourself.
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