ML-Powered Deploy Intelligence

Ship code.
Not incidents. Every deploy, scored before it runs.

SafeShip scores every Jenkins deploy 0–100 for risk using machine learning that learns your team's patterns overnight. Friday 5pm + large diff + high failures = blocked. Tuesday 10am + clean tests = ship it.

MODEL PHASE
Base → Tenant
PRECISION
85.1%
payments-service #142 LIVE
93
⛔ Deploy Blocked
01
Recent failure rate
40% of last 10 builds failed
02
Diff size
847 lines changed (very large)
03
Time of deploy
Friday 5:00 PM (end of day)
Base model active • Override: DEPLOY_FORCE=true
85.1%
Precision
0.934
AUC-ROC
<200ms
Latency
$0
Monthly cost

Live in 5 minutes.
Smarter every night.

One API key. One Jenkinsfile stage. SafeShip handles the rest.

01
Get your API key

10 seconds. No credit card, no OAuth. Enter an email (optional), get your tenant_id and api_key instantly.

02
Add one stage

Copy the pre-filled Jenkinsfile stage from your dashboard. Paste it. Every deploy now gets scored before running.

03
Model learns you

Every deploy logged. Every outcome recorded. Nightly retrain at 2am. Model gets smarter automatically.

Gets smarter
over time

SafeShip starts useful on day one and gets significantly better as it learns your team's specific deploy patterns.

See how the ML works →
Day 1
Base model Universal patterns active. Precision ~65%.
~Day 10
80 labelled builds Nightly retrain triggers for your team.
Month 2
Personalised Your patterns learned. Precision ~80%+.
Month 6+
Drift detection Weekly checks. Auto-adapts if patterns shift.

Built on tools
you already trust

Python 3.11
Random Forest
Flask
Docker
AWS EC2
AWS S3
DynamoDB
Ansible
scikit-learn
SMOTE
Gunicorn
Nginx

Your next deploy
deserves a score

Free. Self-hosted. Your data stays in your infra.
Add to Jenkins in under 5 minutes.