About Traversal
Traversal is a research lab building AI agents for machine-scale site reliability engineering (SRE).
Modern production systems generate more signals, alerts, and telemetry than humans can reasonably process. Traversal’s AI SRE continuously gathers context across your entire observability stack, denoises and triages alerts, and performs root cause analysis automatically—so teams can understand what’s happening in production without war rooms, dashboards, or manual correlation.
Traversal gives every engineer instant system understanding, frees them from the most painful and rote aspects of incident response, and enables them to spend their time building versus firefighting.
What You Can Do With Traversal
Traversal’s AI SRE enables teams to:
Automatically detect incidents and perform root cause analysis across metrics, logs, traces, and alerts
Continuously auto-triage high-volume alert streams into a prioritized list of impactful issues
Investigate complex failures across millions of events using causal reasoning, not manual filtering
Capture and apply runbooks, tribal knowledge, and learned investigative patterns to improve accuracy over time
Prevent SLA/SLO breaches through early detection, context-aware alerting, and post-incident learning
Free developers from maintenance and on-call overload so production improves at the speed of AI
Who Traversal Is For
Traversal is built for teams responsible for keeping production running—especially those closest to incidents and customer impact.
SREs and platform engineers operating complex, distributed systems at scale
Mission control / first line of defense teams who monitor alerts, triage incidents, and escalate issues under time pressure
On-call engineers overwhelmed by alert volume and manual correlation
Product managers, customer support, and CSMs who need accurate, real-time system understanding without deep observability expertise
New or junior engineers ramping up in unfamiliar systems and learning institutional knowledge quickly
How Traversal Works
Traversal is built to reason over production systems at machine scale.
It runs agent-less and schema-less, allowing it to operate with accuracy, depth, and speed across fast-changing environments without manual setup or instruction. Traversal:
Automatically builds a system world model by mining telemetry and code to represent millions of entities, statistical baselines, and relationships across your production environment.
Applies causal search to observability data, compressing, re-indexing, and ranking telemetry to enable ~10,000 investigative queries in the time traditional tools run ~100 via API.
Performs deep, real-time investigations across millions of events, connecting symptoms to causes instead of relying on manual filtering or predefined rules.
Learns autonomously through self-play and passive observation, improving accuracy over time without hard-coded prompts, manual instruction, or brittle heuristics.
Scales effortlessly from team to enterprise, requiring no agents, schemas, or per-service configuration—onboarding is as simple as issuing a new API key.
Where Traversal Works
Traversal meets you where you are.
Web app — for rich timelines, signal previews, and creating post-mortems.
Slack — to start or auto-trigger investigations, receive RCA and triage summaries, and continue the investigation with follow-ups in-thread.
Data Privacy
Customer data is not used for cross-customer training, model improvement, or service optimization. Any data processing is limited to in-context use for the originating customer only. All customer data is protected through strict isolation, access controls, and privacy safeguards.
Have feedback, suggestions, or general questions? You can reach our team at [email protected]. We'd love to hear from you.
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