Your AI finally understands
your product

Use it as a model, run it locally, or bring it to every agent across your company.
Full autonomy for AI, without mistakes. Full visual control for people.

+38%
More changes accepted per quarter
45 min → 8 min
To check one agent task
69% → 5%
Rework after the first version
$0.35 → $0.08
AI cost per completed agent action

Measured on projects GitMir has run · See the benchmarks

Start here

Four ways to use the same GitMir foundation.

GitMir GMM-1

The AI model for work that has to be right

Long documents, codebases and data — including inputs that ordinary models cannot take.

GitMir GMM Local

Frontier-class reasoning. On your machine

A private 30B GitMir model for codebases and documents. Your data stays on your computer.

What happens after GitMir

Every agent starts with
an understanding of your product

GitMir builds the product model and keeps it current. Agents and teams reuse that understanding across tasks, instead of repeatedly piecing it together from code and documents.

Speed

Faster execution

AI starts with the product already understood instead of spending time reconstructing context.

Autonomy

Less human supervision

Intent, rules, dependencies and verification logic travel with the task.

Reliability

Fewer mistakes

Agents work from one explicit source of truth instead of creating a new interpretation on every run.

Economics

Lower cost per task

Less context, fewer tokens, less review and less rework across every workflow.

GitMir Intelligence at work

Visibility & Understanding

See the product your code creates — before, during and after every change.

Give your AI a human-level understanding of your product

GitMir delivers a living model of how your product works — directly to your AI via MCP.

Repositories, documents, conversations, services and data go into GitMir Intelligence. Out of it come business logic, features, answers, legal, scheme fragments, decisions, metrics and architecture of Supabase Studio: An unpaid invoice restricts the organization; Billing & Subscription; Where is it riskiest to make a change?

The main areas of Supabase Studio and how they connect; the customer path above lives in Billing & Subscription.

See what a commit changed in your product

How the business logic of upgrading a plan changes over 4 commits. Commit 00, Instant upgrade: An upgrade changes the plan at once and turns the paid features on in the same moment. Commit 01, Verify the card: “Unlock at once” is gone: the new plan waits for the card check, paid features turn on once payment is verified, and the customer is asked to finish the check. Commit 02, Require owner permission: “Any member can upgrade” is gone: only a billing owner upgrades the plan; a member asks the owner instead. Commit 03, Add confirmation: “One-click upgrade” is gone: the owner confirms the new price before paying; an upgrade confirmation and a sales follow-up are added.

Give your AI a human-level understanding of your product

Supabase Studio product map. GitMir opens Billing & Subscription: the customer path “Change an organization's plan”, the status flow “Invoice status” and the rules “An unpaid invoice restricts the organization” and “The spend cap decides whether an overrun costs money or availability”. An unpaid invoice restricts the organization: Billing & Subscription → Organization · Project. The spend cap decides whether an overrun costs money or availability: Billing & Subscription → Usage · Project Settings. Billing & Subscription links to Project (6 links), Organization (4 links), Usage (3 links), Project Settings (3 links).

The whole system, in one model

An illustrative payments company as one model: business logic (onboarding, payments, refunds, invoices, partner payouts, closing accounts), the rules and constraints that govern it — each tied to the code and the policy where it is written — the security layers over it, and the AI agents and people who act inside it. The model finds where a rule is not enforced, and traces one refund from a support agent through approval, roles, card data and the audit log.

See what a change affects before it merges

What could break if the plan upgrade changes? A pull request changes 4 files; the model shows it reaches 8 areas, 8 records and the customer path “Change an organization's plan”, 6 areas and 3 records of them outside the diff.

Give every agent the product understanding its task needs

An agent asks over MCP: What happens to a paused subscription after 30 days? The answer names the commit the model was built from, 7a3f91c; a newer push, c41e0b8, is not in the model yet, so the answer is marked STALE and the agent is told to say so.

Check a PRD against what the product does

Moving to a paid plan: what we want to change: 8 requirements held against the Supabase Studio model before estimating — 4 already work, 2 contradict the product, 1 new, 1 need a question. The document says “A customer with an unpaid invoice can upgrade right away.”; the product says “It also blocks specific operations elsewhere — deploying a read replica, linking an AWS Marketplace contract, changing plan.”. The document says “Organizations billed through AWS Marketplace can upgrade in the dashboard.”; the product says “Organizations billed through Vercel or AWS Marketplace are sent to those places instead, since the subscription is not Supabase's to change.”.

Find what is wrong before a customer does

GitMir read Supabase Studio without being asked: 30 findings, 8 high. 124 move(s) in this product are possible with nothing recorded about who may make them or when — 54 of them on records marked sensitive. Invoice status has 3 states nothing leaves: paid, void, uncollectible. JWT secret rotation has 2 states nothing leaves: restarted_api_services, failed. One service in Project reaches 33 of 34 areas. On push 95954ab81b: Touched the Project record and its status. Pause failed, Restore failed and Provisioning failed still have no way out — check what a person sees there.

The whole system, in one model

An illustrative payments company as one model: business logic (onboarding, payments, refunds, invoices, partner payouts, closing accounts), the rules and constraints that govern it — each tied to the code and the policy where it is written — the security layers over it, and the AI agents and people who act inside it. The model finds where a rule is not enforced, and traces one refund from a support agent through approval, roles, card data and the audit log.

A global repository of how software works

GitMir Global Mind. 8 real products are modelled in public today: Supabase Studio, OpenAI Codex, cal.com, Atlas, Warpdrive, DroneOps Command, Pronto, Faktorio. 10 more public repositories are being modelled now and 95 are in the queue.

Global Mind

GitHub indexes software by source code. GitMir indexes software by meaning.

Explore public models

Build & operate

Once the product is understood, GitMir can help build, review and turn decisions into work.

GitMir Vibe

Your coding agent knows your business logic

Use GitMir with Claude Code, Cursor, Codex and VS Code.

Claude Code, Cursor, Codex and VS Code ask GitMir product logic; the commit comes back checked.

From product to revenue

The same system continues past engineering: understand demand, identify the buyer, start the conversation.

Market ICP Outreach

AI writes the code. GitMir gets it shipped

Use cases

Ship more product. Spend less getting it right

Ten team types, from solo founders to private enterprise: where repeated discovery and review cost you, and what to measure.

Business scenarios

Find a gap. Build the product. Reach the buyer

Fifteen modelled scenarios from a market gap to revenue: the buyer, the product and the investment.

Works with your tools

Keep your workflow
Add GitMir over MCP

GitMir does not replace the tools your team and agents already use. It plugs into them: agents connect over MCP in one click with a read-only key. Your code stays where you choose: Cloud, Private Source or inside your own boundary.

AI agents · connect over MCP

Your services · work alongside

GitMir Enterprise

Private AI
Inside your infrastructure

Run GitMir’s private model and company Intelligence entirely inside your security boundary.

  • 30B GMM Private works through inputs far beyond its context window.
  • GitMir Intelligence gives it a current understanding of your software and company.

Your data. Your model. Your Intelligence. Your agents.Nothing needs to leave your infrastructure.

GitMir at the centre of the tools a company already runs: code hosting and version control, AI models, team chat, design, cloud and containers.

Research & Science

GitMir is not only a product company. We are testing a different assumption about where AI performance comes from.

GitMir Research

Reasoning does not have to live inside the AI

Model size is only one part of the system. We study what changes when the information presented to a model becomes smaller, denser, more structured and easier to reason over.

Explore GitMir Science
  • Information DensityMeasure useful meaning per unit of input.
  • Reasoning DensityMeasure useful reasoning per unit of context.
  • Semantic DistanceMeasure how much reconstruction is required before reasoning.
  • Context EfficiencyMeasure how much of the available context is actually needed.
  • Agent EconomicsMeasure cost, latency and successful work — not token volume alone.

Research directions · work in progress

From software intelligence to autonomous discovery

01RoboticsPersistent world models, actions, outcomes and adaptation outside the foundation model.
02Pharmaceutical researchStructured exploration of compounds, relations, experiments and candidate formulas.
03Scientific discoveryHypotheses, evidence and experiment loops that accumulate instead of restarting from raw literature.
04Autonomous R&DSystems that execute, observe, verify and continue the research cycle with durable reasoning state.
Questions

Questions people ask

What is GitMir?

GitMir is an AI research and engineering platform that gives models and agents a reusable understanding of products, codebases, documents and systems.

Does GitMir replace Claude, Codex, Cursor or other models?

No. You can use GitMir with your existing models and agents, or use GMM-1 and GMM Local directly.

What is GitMir Intelligence?

It is a current, reusable representation of how a product works — available to people, models and agents.

Can GitMir run privately?

Yes. GMM Local runs on your machine, and enterprise deployments can keep Intelligence and execution inside your infrastructure.

Where should I start?

Use GMM-1 if you want the model, GMM Local if you want local reasoning, Intelligence if you want AI to understand your product, or Enterprise if you want the same layer across the company.

See all 139 questions and answers about GitMir →

GitMir

Autonomous AI
Visual control

From one repository to company-wide Intelligence, local models, autonomous work and a global repository of meaning.

Extract Symbols. Compress Meaning.