Built with on-call teams

The on-call engineer
that never sleeps.

Halcyon reads your metrics, logs and deploys the way a senior engineer does — then stops and asks before it touches production.

Deploy Halcyon

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Platform
Services
checkout-api
payments-gw
session-store
edge-cdn
Incidents
Open1
No active run
Halcyon
Nothing paging right now.
Ask Halcyon to investigate…
⌘K
RunbooksRead-onlyApproval required

Alerting tells you something broke. It does not tell you why, and it does not care that it is 3am. The pager fires, a human wakes up, and the first twenty minutes are spent gathering context that was already sitting in your dashboards.

Halcyon does that gathering before you wake up. It reads metrics, traces, logs and deploy history the way a senior engineer does, forms a hypothesis, and writes it down. When it wants to change production, it stops and asks you first.

If your team can open it,
Halcyon can read it.

Metrics, traces, logs, deploys, tickets and runbooks — read through the same credentials your team already uses, scoped per task.

|
p99 latency612ms
release4.19.2
ownerpayments

Investigates across metrics, traces and deploy history until it can name a cause.

|
status pagedrafted
severitySEV-2
reviewers2

Writes the update in your voice, links the evidence, and waits for a human to press send.

|
actionrollback
target4.19.1
approvalrequired

Acts only on approval — every production change is a request you approve, never a surprise.

Measured on real incidents.

Replayed against 1,400 archived incidents from teams running Halcyon in shadow mode.

Halcyon
Halcyon: 94.0 percent. p50 4m 12s across 1,400 incidents
Runbook automation
Runbook automation: 71.0 percent. fails on anything off-script
Generic LLM agent
Generic LLM agent: 58.0 percent. no access to deploy history
On-call engineer
On-call engineer: 46.0 percent. first 20 minutes spent on context
Alert routing only
Alert routing only: 22.0 percent. routes the page, resolves nothing
n = 1,400 incidentsfaster — higher is better

It remembers how your system actually behaves.

Every incident leaves a trace: which dashboard mattered, which service lies about its health checks, who owns the rollback. Halcyon keeps that on your infrastructure and uses it next time, so you never re-explain your own stack.

what Halcyon learnedlocal
checkout-api
|

Halcyon runs inside your perimeter. Credentials are injected by your own secret manager at call time — the model sees the shape of a token, never its value, and every use lands in an audit log you own.

Runs in your VPC

The agent, its memory and its logs stay on infrastructure you control. Nothing is shipped to us.

Scoped, expiring access

Each task gets the narrowest credential that can complete it, and it expires when the task does.

Every action is a record

Reads, writes and approvals are written to an append-only log with the reasoning attached.

Let it take the first twenty minutes.
You keep the decision.

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