Meet Skippy
An AI copilot in your Slack that watches your stack, triages incidents, and runs monitoring jobs in the background — so you can build instead of babysit.
Connects to your entire stack. Runs on-prem. Zero telemetry from day one.
Opened PR for api-gateway overcommit · Flagged slow query on orders · Caught billing spike in us-west-2
What people are saying
Straight from Slack
“Helped us debug a pod restart issues on day 1”
Founder at Sample
“grinding through a misconfig and almost forgot to update one of the deployments; having Skippy periodically recheck the incident was a lifesaver!”
Founder at Rome AI
“Did skippy really do it and make no mistakes?”
Founding Engineer at Vitalize
“bot is insane”
Product Lead
An alert fires. Skippy's already on it.
The moment something pages, Skippy pulls the metrics, logs, and recent deploys, tells you exactly what's wrong, and acts — restart, roll back, scale, page the right person. When it's just noise, it says so and moves on.
Skippy is responding
Assign it. Walk away.
Hand Skippy a watch — for the next 30 minutes or the next 10 hours. It checks on a schedule, stays quiet while things are healthy, and gets loud the moment something breaks.
Skippy is on watchDeeply integrated. Sees your entire stack.
Connect your tools and Skippy builds one complete picture — what you run, who owns it, and how your team works — so every alert it handles and every watch it runs is grounded in real context.
GitHub
Linear
Kubernetes
Grafana
Prometheus
SigNoz
Datadog
AWS
Sees your entire stack
GitHub, Kubernetes, Grafana, PlanetScale, AWS, Slack — connected into one complete picture.
Knows your team
Learns who owns what, your runbooks, and who’s on-call — so it calls out the right person by name.
Bespoke to your org
Every team is different. Skippy builds custom solutions specific to how your team actually works.
Skippy remembers
Every review, every merge, every rejection teaches Skippy something new. It builds a memory of your infrastructure and your preferences — getting sharper with every interaction.
Pattern recognized
You always set resource requests to 2x the P95 usage. Skippy now does this by default.
Your data stays yours
Privacy isn't a feature we added later. It's how we built Skippy from the ground up.
K8s Cluster
prod-east
Grafana
Internal
GitHub
Enterprise
Skippy runs here
Inside your network. Inside your control.
No data leaves your network · No analytics · No tracking · No telemetry endpoints
On-prem by default
Skippy runs in your infrastructure. Your data never leaves your network. No cloud dependency, no third-party risk.
Zero telemetry
We don't collect usage data, analytics, or metrics. No tracking pixels, no phone-home endpoints. Nothing. From day one.
Your keys, your control
Bring your own LLM API keys. Your credentials are encrypted locally and never transmitted. Full audit trail on every action.
Meet Sailor
Not a new dashboard. Sailor unifies the monitoring dashboards you already run — Datadog, Grafana, SigNoz — and renders them inline, in context with the AWS & GCP resources they're watching.
DatadogGrafanaSigNozproduction-cluster
us-east-1 · v1.29 · 4 nodes
| Node | Est. Cost |
|---|---|
ip-10-0-1-42 t3.xlarge | $2.47 |
ip-10-0-2-18 m5.large | $1.84 |
ip-10-0-3-91 c5.xlarge | $3.12 |
ip-10-0-1-67Cordoned t3.medium | $0.62 |
We've helped teams build & ship at
From infra consulting to custom tooling — we work with teams to solve hard problems.
We're slowly rolling out access
We'd love to talk!
On-prem deployment · Zero telemetry · macOS & Linux