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.
LAYER 1 — DATA

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.

PRODUCTION TODAY

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.

SHIPPING Q3 2026 — TABLE-STAKES PARITY

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.

SHIPPING Q4 2026 — DORA COMPLETENESS

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, Honeycomb, Sentry

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.

See the public roadmap for what's queued.

LAYER 2 — INTELLIGENCE

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.

LAYER 3 — DELIVERY

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?

01
Connect Your Tools
Everything runs in one place when you connect all your tools.
02
Continuous AI Analysis
AI keeps scanning, delivering instant risks and insights.
03
Real-Time Insights
Real-time reports and answers are one click away.

See GitRevio in Action

Watch how our engineering intelligence platform shows instant insights and reports. Everything is delivered with complete clarity.

Watch Now

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.

See How It Fits

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.

# Architecture
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

What does GitRevio do?
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.
How is GitRevio different from other tools?
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.
Does GitRevio require changes in our existing workflow?
No. You can continue following your same tools and routines. No big disruptions, no migration.
How long does it take to get started?
You're up and running in minutes. Just connect your tools and allow GitRevio to begin processing the data for you.
Will this add extra work for our team?
No. GitRevio removes manual reporting. It empowers your team to focus completely on building and delivering results.
What tools does GitRevio integrate with?
It connects directly to your engineering stack — GitHub, Jira, and more. It keeps everything perfectly synchronized, so nothing ever gets missed.
Is GitRevio suitable for our team size?
Definitely. Whether small teams, large enterprises, or anything in between, GitRevio adapts easily and scales alongside your growth.
Do we need technical setup or support?
Not really. Connecting GitRevio is simple and requires no complex installation steps.

Ready to See Your Engineering work clearly?

Request a Free Demo