Split backend PRs by feature flag
High-16% review wait
Unified engineering intelligence
See why delivery slowed, where review drag is building, and what to fix first.
Velocitio unifies GitHub, Jira, CI, and AI telemetry into one engineering intelligence layer. 50+ cross-source metrics with confidence scoring, anomaly detection, review bottleneck analysis, and AI explanations grounded in real data.
Start with GitHub in minutes. Layer Jira, Linear, CI, and Slack when you want planning context, quality signals, and team digests.
EU-hosted dataGDPR compliantNo credit card neededGitHub · Jira · Linear · Slack
AI-powered analysis
AI Assistant that explains delivery risk in plain language.
Instead of guessing from charts, ask naturally and get clear answers with evidence, confidence, and next actions your team can execute this sprint.
Confidence explained
Explains low/medium/high confidence from sample size, coverage, and scan freshness so you know when to trust the numbers.
Cross-source reasoning
Correlates metric movements across GitHub, Jira, CI, and AI telemetry to pinpoint the changes that drove each shift.
Closed-loop actions
Ranks what to fix first, tracks whether you acted, and measures whether your actions actually improved the metrics.
Scope-safe by design
Stays inside workspace and team scope to prevent cross-account leakage by default.
Explore features
One unified data foundation. Six capability layers.
Every layer answers a practical leadership question: where are we losing speed, what is causing risk, and what should we change first.
Understand why metrics change, not just what they are
Every scan surfaces the top movers, anomaly signals, and probable causes so you act on insight, not guesswork.
AI analysis that cites evidence, not vibes
Ask natural questions and get confidence-aware answers built from fresh facts, source coverage, and historical movement.
Spot review bottlenecks before they slow delivery
Decompose review flow into 17+ signals: first-review latency, approval coverage, re-review loops, drag scores, and reviewer workload trends.
Forecast workstream risk from planning and code signals
Combine Jira initiative health, ownership fragility, and delivery cooling into a single risk score so you catch slips before they happen.
Quality and release confidence from CI signals
Bring in build, test, and deployment data so release readiness, failure rates, and recovery time become visible alongside delivery metrics.
50+ cross-source metrics with confidence scoring
Every metric carries freshness, coverage, and confidence metadata across GitHub, Jira, CI, and AI telemetry so you always know what to trust.
Integrations
Connect your stack. Insights flow automatically.
Plug in your source control, project management, and communication tools. Velocitio unifies the data and delivers actionable engineering intelligence.
Connect your tools
GitHub
GitLab
Jira
Linear
Slack
Azure DevOps
Velocitio
Automated insights
DORA Metrics
AI Analysis
Risk Detection
Team Health
How it works
Up and running in under 5 minutes
No infrastructure and no custom scripts. Connect, scan, and act.
01Step 01
Connect the sources you already use
Start with GitHub, GitLab, or Azure DevOps for a fast delivery baseline, then layer Jira, Linear, CI, and Slack as your intelligence model grows.
Connect
OAuth / GitHub App
Scope
Workspace / Team / Repo
Time to data
< 5 min
02Step 02
Normalize everything into one evidence layer
Velocitio turns raw tool data into a unified engineering model so dashboards, alerts, exports, and AI all read from the same facts.
03Step 03
Act on the next bottleneck with confidence
Use trends, AI explanations, and prioritized recommendations to fix the highest-leverage constraint and measure the result over time.
Start in under 5 minutes
Turn delivery data into a weekly improvement system.
Connect your workspace, run the first scan, and leave your next stand-up with clear priorities backed by evidence.