Built for developers who value speed and reliability equally. No bloat, just the tools that matter.
Instant rollbacks
One click to revert any deployment. Your users won't notice a thing while you fix what broke.
Real-time monitoring
Error rates, latency, and throughput — all visible the moment you deploy.
Zero-config security
Secrets management, RBAC, and audit logs baked in. No third-party tools required.
Git-native workflows
Push to deploy. Previews for every branch. Works with GitHub, GitLab, and Bitbucket.
Smart alerting
Alerts that know the difference between a spike and a crisis. No alert fatigue.
100+ integrations
Slack, PagerDuty, Datadog, Jira — connect your existing tools in minutes.
AI-powered insights
Your deploy pipeline,
now with a brain.
Velo’s AI engine learns your deployment patterns and flags anomalies before they become incidents. It knows your p95 latency on a Tuesday — and when something doesn’t look right.
✓ Automatic anomaly detection ✓ Root cause suggestions ✓ Predicted rollback windows ✓ Weekly health digests
$ velo deploy –branch main ✓ Build complete (12.4s) ✓ Health checks passed → AI Latency looks normal → AI No anomalies detected ✓ Deployed to production
Rollback window: 24h
Testimonials
Don't take our word for it.
★★★★★
“We cut our deploy time from 8 minutes to under 90 seconds. The rollback feature alone has saved us twice.”
Priya Menon
Head of Engineering · Stackwise
★★★★★
“The AI anomaly detection flagged a memory leak in staging that we’d missed for two sprints. Genuinely impressive.”
Marcus Bell
CTO · Flowdash
★★★★★
“Velo replaced three separate tools for us. Simpler workflow, lower bill, zero regrets.”
Aisha Okonkwo
DevOps Lead · Kora Finance
Pricing
Simple, honest pricing.
No hidden fees. No surprise overages. Cancel anytime.
Yes. Our Starter plan is free forever with no credit card required. You get 3 projects and 100 deploys per month.
How does the AI anomaly detection work?
Velo establishes a baseline for your application’s key metrics over the first 7 days. After that, it flags deviations that fall outside normal variance — tuned to your specific traffic patterns, not generic thresholds.
Can I self-host Velo?
Enterprise customers can request an on-premise deployment. Reach out to our sales team to discuss your infrastructure requirements.
What happens if I exceed my deploy limit?
On the Starter plan, deploys over the limit are queued until the next billing cycle. You’ll get a warning with 20 deploys remaining so you can upgrade in time.
Do you support monorepos?
Yes. Velo detects changes at the package level and only redeploys affected services — so a frontend change won’t trigger a backend redeploy.
Ready to ship with confidence?
Join 12,000 teams who deploy faster, break less, and sleep through the night.