Make Confident Engineering Decisions with an AI Intelligence Platform.
Stop searching through tools. GitRevio is an engineering intelligence platform that uses AI to turn your engineering data into clear answers, reports, and decisions — automatically.
Full Visibility into Your Engineering Operations
You won't need to switch to different platforms or generate reports manually when you use GitRevio. It is a modern engineering insights platform that offers you one intelligent dashboard to track workflows, metrics, risks, performance, and progress — all visible instantly.
Unified Engineering Dashboard
Gather data across all your tools and workflows to get the overall view.
Performance & Risk Insights
Monitor progress and catch problems before they grow with AI-powered engineering analytics.
Automated Reporting System
Use GitRevio as your engineering reporting platform to generate reports instantly.
AI-Powered Querying
Ask questions and get answers fast without long waiting.
Every Signal, One Place
Most tools connect to one or two sources. Gitrevio pulls from everything your engineering team touches — and correlates it automatically. This makes GitRevio a complete engineering intelligence platform for modern software teams.
GitHub
Cloud + GHES. Commits, pull requests with reviews and comments, issues, deployments, Actions. Incremental, rate-limited, full backfill on first sync.
GitLab
Cloud + self-hosted. Commits, merge requests, reviews, issues. Self-hosted instances supported with proxy and on-prem connectors.
LocalGit (on-prem)
Lightweight agent runs on your infrastructure. Lizard, flake8, pylint, ruff, eslint, go vet, eastwood — analyzers for Python, JavaScript, Go, Clojure. Source code never leaves.
Flexiana Tracker
Time entries, projects, users. Drives plan-vs-reality and project forecasts when paired with Git data.
Bitbucket Cloud
Commits, PRs, branches via Bitbucket Cloud REST. Brings Atlassian-stack customers onto Gitrevio.
GitHub Copilot Metrics API
Authoritative AI authorship signals — adoption, acceptance, suggestions. Feeds AI Impact reports.
Cursor Admin API
Cursor usage at the org level, paired with commit heuristics for end-to-end AI ROI.
Linear
Issues, cycles, projects, teams. Drives plan-vs-reality and sprint autopsies for Linear-native shops.
Slack as datasource
Channels, users, message metadata (PII-stripped). Powers communication-pattern and on-call signals.
Microsoft Teams
Chat metadata, PII-stripped. Same role as Slack for Teams-first organizations.
PagerDuty + Opsgenie
Incidents, services, on-call schedules. Closes the DORA-4 loop and unlocks on-call burden analysis.
incident.io / Rootly
First-class incident lifecycle ingestion for teams that already standardized on these platforms.
Datadog, New Relic, Sentry, Honeycomb
Observability signals correlated with deploys and contributors. Real reliability scoring, not vibes.
CircleCI / Jenkins / Buildkite / Argo CD
Full CI/CD coverage beyond GitHub Actions. Build times, failure rates, deploy frequency, all sources.
This is What Everyone Else Skips — Raw
Data Becomes Real Intelligence
Raw data isn't insight. Counting commits doesn't mean understanding. Our AI workers and ML
models transform raw engineering data into intelligence you can act on. GitRevio is more than
dashboards — it is an AI-powered engineering analytics engine designed for decision-making.
Activity Classification
Six AI workers categorize what developers actually do — coding, reviewing, mentoring, pairing, onboarding, debugging, context switching — inferred from commit + PR patterns, not commit messages.
Attrition Risk Scoring
Per-contributor risk score with Shapley-decomposed factors: engagement decline, review bottleneck, peer attrition, tenure plateau. Act before resignation.
Onboarding Analysis
Time-to-first-PR / first-commit / first-solo-feature, cohort ramp curves, mentor effectiveness, benchmark against your org baseline.
Plan vs Reality
Sprint commitment vs delivery, drift broken down into scope creep, estimation error, blockers, dependencies, PTO, AI slowdown — every sprint.
What-If Simulator
Eight scenarios: departure, hiring, restructuring, reassignment, vacation, AI rollout, framework migration, contractor analysis. Model before you act.
Sprint Autopsy
Six-section retro narrative auto-generated at sprint end. Data-driven root-cause analysis from Git + tracker data.
Tech Debt Radar
Lizard complexity + churn + AI-tagged TODO/FIXME + incident attribution. Prioritized by velocity cost, not vibes.
Anomaly Detection
Z-score + EWMA on 8 key metrics with Bayesian smoothing for small teams. Slack alerts include attribution context, not bare thresholds.
Release Risk Scoring
Per-PR risk from file hotspots, author history, review coverage, test impact, change complexity, and blast-radius score. PR-comment integration shipping next.
Context Switching
Entropy of commit patterns per developer, privacy-gated. The hidden tax on engineering output that no standup captures.
Org Health Score
20 signals — velocity, quality, engagement, risk — composed into one drillable number with trend and per-component decomposition.
Probabilistic Estimation
Lognormal μ, σ via MLE per team; p50/p75/p90 forecasts with calibration tests. Feeds 'is this project worth doing?' analysis.
Contributor Typologies
Per-customer K-means / GMM clustering yields 4–8 behavioral types from actual work patterns. Data-driven, not 'senior/junior' labels.
Optimal Reviewer Assignment
File expertise + queue depth + review-quality history + AI-authorship match + timezone. Minimizes wait while maximizing review depth.
Knowledge Graph + Bus Factor
File × contributor expertise mapped to a reachability DAG. Single-points-of-failure surfaced before they become emergencies. UI dashboard shipping Q3 2026.
Causal Attribution (Shapley)
Game-theoretic decomposition of metric changes. Library is axiom-verified — efficiency, symmetry, dummy-player, linearity tests pass on every release.
Code Blast Radius (DAG)
Imports parsed for Python, JavaScript, Java, Go, Clojure, PHP. Formal reachability on the import graph. Only graph + scores leave your network — source stays on-prem.
Intelligence That Reaches You Everywhere
A dashboard nobody visits is expensive wallpaper. Gitrevio delivers intelligence through
whatever channel you already use — and through channels designed for AI agents, not just
humans. This makes GitRevio a flexible engineering reporting platform for every workflow.
AI Chat
Multi-turn conversations with persistent history, reference resolution ('that team', 'why?'), shareable threads, exportable transcripts. Generates charts inline.
MCP Server (136 tools)
19 read tools, 17 persona-aware dashboards, 10 write tools, plus skill execution. 50+ prompts across 5 personas. Distributed via npm and PyPI. Works in Claude Desktop, Claude Code, Cursor, Cline, Continue.dev, Goose, Aider.
AI Skills (49 builtin)
Packaged capabilities — attrition risk, sprint autopsy, board report, optimal reviewer, what-if, and more. YAML manifest, JSON-Schema-validated, sandboxed, versioned per customer. Run the same skill in API, MCP, chat, reports, or alerts.
Reports (8 templates)
Weekly Digest, Sprint Retro, Board Report, AI Impact, Onboarding Cohort, Attrition Risk, Project Forecast, Code Health. PDF, email, Slack, in-app delivery — scheduled or on-demand.
Alerts (9 rule types)
PR stuck, AI ROI dropping, attrition spike, bus factor crash, sprint at risk, anomaly, build failures, complexity spike, security issue. Channels: Slack, email, webhook, in-app, MCP-triggered.
REST API
FastAPI backend, OpenAPI 3.1 auto-generated, RFC 7807 error responses, cursor pagination, SHA-256-hashed API keys, per-key rate limits. Mock-first framework — every endpoint has a mock provider for sandbox testing.
Webhooks
HMAC-signed event delivery with exponential backoff and dead-letter queue. Subscribe to alert.triggered, report.generated, health-score change, attrition shift, onboarding milestone.
Custom Skills + Marketplace
Author your own skills via YAML; package as `.gskill`; install per-customer. Internal marketplace lands Q4 2026; public community marketplace with curation tiers in Q1 2027.
How Does GitRevio Work?
Connect Your Tools
Everything runs in one place when you connect all your tools.
Continuous AI Analysis
AI keeps scanning, delivering instant risks and insights.
Real-Time Insights
Real-time reports and answers are one click away.
Identify engineers who are delivering consistently across multiple repositories without introducing significant regressions or delays.
How Teams Use the Engineering Insights Platform
Ask Questions Anytime:
Just ask, and get the information you need on the go. No waiting.
Skip Manual Reporting:
Reports are ready when you need them.
Stay One Step Ahead:
Receive alerts about risks before they become real problems.
Designed to Fit Your Workflow, Not Replace It
Stop switching systems — see your engineering vision clearly.
GitRevio puts all your data in one place, on one easy-to-read dashboard, so you always know what's happening.
GitRevio connects with the tools you already use. No migration. No disruption.
It improves your current systems with AI-powered engineering analytics and keeps your team productive.
Engineering Intelligence Platform Built for Privacy and Scale
Per-PostgreSQL-role tenant isolation. Every customer has its own writer and reader roles, scoped to its data. Cross-customer reads are impossible at the database layer — not policy, not row-level filtering, role-bound from the start.
Customer-staff and central-staff are separated. Gitrevio support has zero default access. Time-limited, role-gated, fully audit-logged grants are the only path in — and your admin can revoke any session early.
Credentials encrypted at rest with AES-256-GCM. API keys SHA-256 hashed. Every MCP tool call audit-logged with PII-redacted parameters; SIEM export on the roadmap.
With LocalGit, source code never leaves your network. Analyzers run on-prem; only structured metadata, hashed file IDs, and the dependency-graph structure cross the boundary.
Your infrastructure:
LocalGit agent → analyzers run here
Reachability DAG built locally ✓
Source code stays here ✓
Gitrevio cloud:
├─ Per-customer Postgres roles
│ ├─ writer (ETL only)
│ └─ reader (AI / API only)
├─ AES-256-GCM at rest
├─ AI workers (scoped to your role)
└─ MCP / API / Chat / Reports
Support access:
Time-limited, audit-logged, admin-gated
Frequently Asked Questions
GitRevio, an engineering intelligence platform, uses AI to convert your engineering data into proper insights, automated reports, and immediate responses. It helps teams understand fast.
GitRevio eliminates manual tracking and complexity. Unlike basic dashboards, GitRevio uses AI-powered engineering analytics to uncover patterns, risks, and recommendations — delivering timely insights when you need them.
No. You can continue following your same tools and routines. No big disruptions, no migration.
You're up and running in minutes. Just connect your tools and allow GitRevio to begin processing the data for you.
No. GitRevio removes manual reporting. It empowers your team to focus completely on building and delivering results.
It connects directly to your engineering stack — GitHub, Jira, and more. It keeps everything perfectly synchronized, so nothing ever gets missed.
Definitely. Whether small teams, large enterprises, or anything in between, GitRevio adapts easily and scales alongside your growth.
Not really. Connecting GitRevio is simple and requires no complex installation steps.