Traversal vs Resolve AI
Learn how Traversal reasons causally across your entire production environment at scale, see why it's architected for the enterprise from day one, and understand why it improves on its own instead of requiring forward-deployed engineering and markdown tuning, unlike Resolve.

Traversal
A live, autonomously updating causal map of your entire production environment featuring over 100M+ entities.
Distills petabytes of telemetry by 1:1000 scale, without losing any causal signals.
Autonomously and continuously learns from your runbooks, docs, and incidents. No manual tuning or markdown files required.
A live, autonomously updating causal map of your entire production environment, featuring over 100M+ entities.
Searches 1K+ hypotheses in parallel to identify root cause across 10+ hops, featuring a <1% false positive rate.
WHY TRAVERSAL WINS
Built on years of research in causal reasoning and AI.
That research is what makes causal reasoning at this scale possible. Traversal's Production World Model™ maps your entire environment continuously and autonomously. The Causal Search Engine™ searches 1,000+ hypotheses in parallel across that model to find what actually caused the incident.


Purpose-built for enterprise scale.
Production incidents don't stay confined to one service. Traversal tracks blast radius across regions and dependencies systematically, ruling out what didn't cause it, not sampling or approximating. That's what reasoning at enterprise scale actually requires.
Gets smarter on its own. No markdown required.
Traversal learns from every investigation: no runbooks to write, no rules to tune, no forward-deployed engineering to keep it current. Each incident sharpens the next investigation automatically, not because someone taught it what to look for.

Battle-tested in mission-critical environments
Frequently asked questions
How are Traversal and Resolve different?
Both are AI SREs, but they're built for different points on the incident-difficulty curve. Resolve may be sufficient for common, well-understood failures where a fast, correlation-driven answer is enough. Traversal is built for the incidents that actually escalate: root causes that sit far from the symptom, across unfamiliar dependencies, at the scale of a large enterprise's production environment.
How current is Traversal's model of our environment?
The Production World Model™ is a living map of your entire production environment, self-maintaining with zero manual upkeep. Resolve lives in markdown and requires manual updates to stay current.
Do we need to maintain skills or runbooks for Traversal to stay accurate?
No. Traversal's Knowledge Bank™ auto-learns your workflows, every investigation makes the next one faster. No markdown files are required to get started. With Resolve, your team maintains the skills manually, and they decay with every deploy if untouched.
Is Resolve good enough if we're just starting out with AI SRE?
Resolve can be a reasonable entry point if your incidents are mostly routine and your environment is small enough to fit in a markdown file. The tradeoff shows up as you scale: someone has to keep that file current, and every deploy is a chance for it to drift out of date. Traversal's Production World Model™ is built to stay current on its own, so the investment holds up as your environment gets more complex, not just when it's simple.
Which has more accurate root cause analysis?
Across petabyte-scale enterprise production environments, Traversal reports 82%+ accurate root causes in under 5 minutes on average, where accuracy means output that produces mitigation steps.
Can Traversal deploy inside my own cloud (BYOC)?
Yes. Traversal is agentless, sidecarless, and read-only. It can run SaaS, or entirely in the customer's own environment (both BYOC/BYOM).




