Comparison

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

Agentless Data Capture™

A live, autonomously updating causal map of your entire production environment featuring over 100M+ entities.

Causal Indexer™

Distills petabytes of telemetry by 1:1000 scale, without losing any causal signals.

Knowledge Bank™

Autonomously and continuously learns from your runbooks, docs, and incidents. No manual tuning or markdown files required.

Production World Model™

A live, autonomously updating causal map of your entire production environment, featuring over 100M+ entities.

Causal Search Engine™

Searches 1K+ hypotheses in parallel to identify root cause across 10+ hops, featuring a <1% false positive rate.

82%+
accurate remediation
<5 min
from alert to root cause
85%+
MTTR reduction
3,600
engineering hours saved a year

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.

Visualization of nodes in a Production World Model with types Pod, Operation, Storage, Host, and Service.

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.

new
Client
+ Traversal Story

Battle-tested in mission-critical environments

38%
Reduction in mean time to resolution (MTTR)
3,600
Engineering hours saved annually

“We took real customer incidents that used to take our engineers an hour or more to resolve — and Traversal’s agents were identifying root causes in under a minute.“

Bratin Saha
Bratin Saha
CTO & CPO, DigitalOcean
70%
Reduction in MTTR
96k
Support engineering hours saved per year
845k+
Customer applications
125k+
Annual investigations

“We worked with Traversal to build a self-healing system for common web hosting issues like DDoS and disk errors. With 95%+ accuracy, it lets thousands of customers solve problems instantly, cutting downtime and support costs.“

Suhaib Zaheer
Suhaib Zaheer
SVP & GM of Managed Hosting, Cloudways
32%
Reduction in mean time to resolution (MTTR)
82%
Root Cause Analysis (RCA) accuracy

“Instead of the company's engineers responding to incidents across their infrastructure manually, Traversal completes comprehensive RCA in minutes, ingesting 250 billion logs of interest every day.“

Executive at Fortune 100
80%
RCA accuracy across incidents
6,000
Engineering hours saved per year

“For a F&B company, operating at Fortune 50 scale requires intelligent automation beyond traditional monitoring. Traversal’s AI SRE agents cut through this enormous complexity, automatically triaging alerts and surfacing root causes in minutes rather than hours.“

Director of IT Operations, Fortune 50 F&B
40%+
Projected MTTR reduction across evaluated incidents
75%
RCA accuracy across evaluated incidents
2000
senior engineering hours reclaimed per month via Production Support
7 days
from initial deployment to production-ready performance

"[A key part of the] decision was because you have the BYOC product—for us, as a security-first company, that's a big plus. And we don't need to maintain extra context on our end. You handle all of that for us: building the Production World Model™, reading the documentation and other sources."

Head of SRE, Leading Global Crypto Exchange

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).