Gitrevio

We're now opening it
for early users:

Teams with under 20 people → free access

Teams with 20+ people → free trial for 2 weeks

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Connect your engineering data. Get answers, not another dashboard.

Know what you're getting from your engineering investment.

You know how much your engineering team costs. Gitrevio helps you understand where that money is going, what is slowing your teams down, where risk is growing, and whether your engineering investment is paying off.

Gitrevio Dashboard AI Chats Reports Alerts Entities Notifications AA Auwalu Adamu auwalu.adamu@flexiana.com Good afternoon, Auwalu 👋 Connect your data source to start getting engineering insights. Search anything... ⌘K Ask AI 0% Complete your onboarding Pick GitHub, GitLab, or another source to start pulling engineering signals into Gitrevio. Connect datasource Maybe later Connect a datasource Run your first ETL sync Invite a teammate View your persona dashboard Ask the AI a question Generate your first report GitHub repository insights gitrevio/platform · main Commits 342 +12% Pull requests 58 +8% Contributors 14 steady Avg. merge time 1.4d -20% Commit activity 4 weeks ago This week Engineering breakdown By activity type · last 30 days 342 commits Feature work 42% Bug fixes 24% Code review 19% Maintenance 15% Alerts You'll see important issues and risks here once your data is connected. Reports Your most recently updated reports. New Contributor Cohort (last 12 months) Team Contribution Breakdown (last 90… View all reports → AI Chat Pick up a recent conversation or start a new one. How Many Commits Were Made Today Untitled conversation Go to AI Chat →

Gitrevio brings that information together and makes sense of it.

Engineering is one of your biggest investments. But it is hard to see what you are getting for it.

You can see salaries, project budgets and delivery dates. But the real cost of engineering is harder to see.

Your engineering tools contain the answers, but the information is spread across:

GitHub GitLab Jira Linear CI/CD + other systems

What is Gitrevio?

Gitrevio connects to the systems your engineering team already uses.

It analyzes the data over time and helps you understand what is happening across your engineering organization. Instead of asking your teams to build reports or spending hours looking through different tools, you can ask questions and get answers based on your actual engineering data.

From

GitHub GitLab Jira Linear CI/CD AI tools

To

  • What is happening?
  • Why is it happening?
  • What does it cost us?
  • What should we look at next?

Why do I need it?

You don't need more engineering data. You need to understand it.

Most companies already have plenty of engineering data. The problem is connecting it. Gitrevio helps management see the bigger picture across teams and systems.

You can use it to understand

Where engineering time is going
Where work is slowing down
Where rework is increasing
Whether delivery is getting better or worse
Whether AI tools are creating value
Where engineering risk is growing
Where your engineering investment may not be paying off

We measure what's happening across engineering and give you a clearer view.

How is it different from ChatGPT or Claude?

Tools like ChatGPT and Claude are powerful general-purpose AI systems. But you still need to give them the right information and context. Gitrevio is built around your engineering data. It connects to your engineering systems, collects the relevant information, analyzes it over time and uses that context to answer engineering management questions. You don't need to export data into a prompt. You don't need to build a spreadsheet first. You don't need to explain your engineering organization every time you ask a question.

General AI

You provide the context → AI gives you an answer

Gitrevio

Your engineering systems → Gitrevio analyzes the data → You get an answer

Engineering signals
Cycle time 0d ↓ 18%
Rework rate 0% ↓ 6%
AI usage 0% ↑ 27%
Engineering activity — 8 weeks

But Gitrevio isn't just counting activity. A number by itself doesn't tell you much. The important question is:

What does this change mean for the business?

What does Gitrevio measure?

We measure the signals behind engineering performance.

Gitrevio looks at engineering data such as:

  • Delivery and cycle time
  • Code changes
  • Pull requests and reviews
  • Rework
  • Engineering activity
  • Incidents
  • Team and project trends
  • AI tool usage and impact
  • Other signals across your engineering workflow

Where can it save money or reduce risk?

Find the problems that cost you engineering time and money.

Engineering waste doesn't always show up as a line item on your budget. It can look like:

Gitrevio helps you find these patterns earlier.

Tools your AI can actually use

Most engineering analytics gives an assistant a handful of endpoints and a dashboard to describe. Gitrevio gives it a library of 388 analytic decision functions, forecasting, causal inference, constrained optimization, statistical audit each with a typed schema, a validation strategy, and an explicit point at which it declines to answer.

Check tools
tool_catalog.search()
388 analytic functions in the catalog
search_tools()
get_schema()
run_tool()

Your assistant doesn't need them wired up individually. The MCP server exposes 18 tools; three of those search this catalog, read a tool's schema, and run it.

What does the output look like?

You don't get another pile of charts. You get answers.

The point is not to give you more numbers. It's to help you understand what the numbers mean.

For example:

Delivery slowed by 18% this month.

Gitrevio helps identify what changed and where the slowdown is coming from.

Rework increased across Team A.

See the underlying engineering patterns and investigate what is causing it.

AI adoption is high, but engineering output has not changed.

See whether your AI investment is actually producing the expected results.

This project is showing signs of delivery risk.

Get the signals behind the change so your team can investigate before the problem becomes more expensive.

Can I trust the numbers?

The numbers come from your engineering systems.

Gitrevio doesn't ask your team to manually enter performance scores. The data comes from the systems where engineering work already happens. Gitrevio connects the data, analyzes it and shows you how the findings are built from your engineering activity. This gives you a more consistent view than relying only on opinions, surveys or manually prepared reports. Your engineering data is the source. Gitrevio is the layer that makes sense of it.

Cycle time 3.2d ↓18%

How does Gitrevio get the data?

Connect the tools your team already uses.

Gitrevio can connect to your engineering stack, including:

GitHub GitLab Jira Linear CI/CD LocalGit And many more

You don't need to replace your existing tools. Gitrevio works with the data already being created by your engineering teams.

And when code analysis is needed:

LocalGit runs on your infrastructure, analyzes the code locally and sends the required metadata to Gitrevio. Your source code doesn't need to be sent to Gitrevio.

View integrations

Is my data and code safe?

Security starts with limiting what Gitrevio needs.

Gitrevio is designed so that you don't have to give it unnecessary access to your engineering systems.

Your source code

LocalGit can analyze code on your own infrastructure. Your source code doesn't need to leave your environment for this analysis.

Read-only access

Gitrevio uses read-only Personal Access Tokens for connected git hosting and issue-tracking systems.

Separate customers

Customer data is separated using dedicated database roles and customer-specific access.

Encryption

Sensitive credentials are encrypted using AES-256-GCM. API keys are stored as SHA-256 hashes.

Security management

Gitrevio has an ISMS and a dedicated security officer.

Your data

You can ask what data Gitrevio holds from your organization and request deletion of your data.

Who is Gitrevio for?

For people responsible for the engineering investment.

CEOs & Founders

Understand where engineering money is going and whether the investment is paying off.

CTOs

See what is happening across engineering without pulling information from multiple systems.

Engineering Leaders

Find the problems behind changes in delivery, productivity and engineering capacity.

Investors

Get a clearer view of engineering operations, spending and risk.

Why Gitrevio?

Your engineering team already generates the data.

Gitrevio helps you use it. You don't need another tool for your engineers to fill in. You don't need another reporting process. You don't need another dashboard that tells you how many pull requests were opened.

You need to understand:

That's what Gitrevio is built to answer.

You already know what engineering costs.

Now find out what you're getting for it.

Connect your engineering data and see what Gitrevio can find.