The proactive infrastructure agent
that acts before the pager.

Mesh understands the SDLC from code to systems. It finds risk before it becomes an incident, and safely remediates the cause. It isn't another on-call assistant — it prevents the issues that would have reached on-call.

Running in
Introducing Mesh

Today's observability tools are broken. They answer questions you already thought to ask, wait for you to open a dashboard, and page you after things are on fire — while the context you actually need sits scattered across five tabs.

Mesh is an agent rebuilt for production. It keeps a working model of your whole stack — Kubernetes, bare metal, cloud, edge — and uses it to act before the pager fires: correlating incidents, drafting fixes, and holding the line on cost.

Live world context

A self-learning model
of your entire system.

Mesh understands how software and environments work together in one living context map — from the first signal to the final verified state.

Production world model
Live dependency Breaking Remediation
edge Ingress healthy · 8.2k rps
routing API gateway p99 · 142ms
breaking checkout-api memory +38MB/min
async Order queue lag · 1.8s
state Postgres connections · 71%
compute Payment worker retries elevated
remediation Stable rollout ready · rollback safe
Mesh context One incident graph 12 signals · 5 services
logs · OOM pattern deploy · canary +7m owner · payments action · rollback canary
01

One context of the world

Mesh continuously connects services, infrastructure, deployments, ownership, and live behavior into one operational model.

02

Self-healing

When the system breaks, Mesh identifies the cause, chooses the safest remediation path, and verifies that recovery actually worked.

03

Production-safe actions

Every state transition is checked against policy, current evidence, and blast radius to prevent the system from entering a bad state.

Full-stack coverage

Anything your on-call does,
Mesh can do for you.

Detect & Diagnose Draft the Fix Runbooks

Unlike tools that wait for you to ask, Mesh learns what "normal" means for your prod this week — and acts on the difference. The only wall is the blast radius you set.

All the tools your
agents need

Mesh works through the tools you already run — Cursor and VS Code for code, Atlassian and GitHub for review, Slack for updates, and Kubernetes and AWS for the stack itself. Integrations let it act, not just observe.

You decide which tools Mesh can touch and how it uses them. It pulls live telemetry, opens the PR, updates the runbook, and pages the right owner — the work lands where your team already works.

The SOTA
infrastructure agent.

Mesh ranked #1 on AIOpsLab, Microsoft Research's benchmark for autonomous-cloud agents, and tops the Loghub log-analysis board. See the full results

Benchmark average
Mesh
91.4%
Competitor avg
66.2%
AIOpsLab results
Mesh
91.4%
Claude Code
80.5%
AOI · Qwen3-14B
66.3%
Claude Code (4-7)
60.0%
AOI · GPT-4o-mini
58.1%
Customer story Camp Network
+90%
faster RCA-to-decision
Mesh has cut our RCA-to-decision time by roughly 90%. For chain infrastructure, the hard part is knowing what is actually happening. Mesh keeps a live view of the system and connects signals across components, so one incident does not look like three separate fires.
Rahul Doraiswami CTO · Camp Network
View case study
Hackathon showcase AWS
Production-grade resilience under a weekend deadline
As part of our hackathon, we showcased how Mesh brought production-grade operational resilience. The Leadership Principle “Insist on the Highest Standards” needs to be built in, even under a tight weekend deadline. Instead of losing time chasing log files, the agent caught architectural drift at the rollout stage and handed us the fixes directly.
Anshul D SDE @ AWS EC2
Production POC Squarespace
Automatic triage & mitigation across application teams
We’re running Mesh in our Sandbox cluster environment as a POC; it has proven extremely useful by automatically triaging and mitigating issues across different application teams. These issues would’ve required direct intervention from the Compute team in the past.
Arvind S Staff Engineer · Squarespace Compute/Networking Infra
Guardrails

Autonomy that works with prod.

Most agents either do nothing or do too much.
Mesh acts inside guardrails you set, asks at the edge, and shows its work — every time.

M Mesh wants to run
kubectl rollout undo deploy/checkout-api
ApproveDeny
Human approval at the edge Risky, irreversible actions always wait for your confirmation. The bar to wake you up is high — but it exists.
Overnight · 0 pages
analytics canary rolled back handled
db-7 disk pressure cleared handled
payments retry storm damped handled
Nobody got paged. The diffs were waiting in #eng-incidents by morning.
Quiet by default Mesh won't page you for things it can handle. The bar to wake a human is high — overnight fixes wait for morning review.
actionwhen
rollback canary02:41
draft PR #421810:14
restart db-710:16
update runbook16:30
A record of every action Every decision carries a reasoning trail with the exact signals it used. No black boxes.
Privacy and control

Private enough to run on prod.

Mesh runs inside your infrastructure, keeps data where it lives, and gates sensitive actions for your review.

Runs in your VPC Telemetry, traces, and repo context stay on your side of the wall. Nothing is shared to train anyone's model.
Read-only by default Mesh starts as an observer. Write access is scoped per-service, and revoking it takes one line.
Three-minute setup One command to start observing, one to remove. Mesh earns write access over time — it doesn't assume it.
Bring your own model Run Mesh on DeepSeek, Claude, or your own fine-tune — the working model of prod is the product, not the LLM.

Ready to connect everything?
Let's talk.