GitMir Intelligence

Intelligence for the AI systems
inside your company.

GitMir gives existing AI systems better intelligence about the product, business and environment they work inside — without changing the models or workflows.

DEVELOPED BY GITMIR RESEARCH · RESULTS PUBLISHED · METHOD PROPRIETARY

Where Intelligence works

One layer.
Two places AI works.

The same Intelligence, read by whatever is doing the work — the agent that changes your product, and the agent that runs it.

Build

AI building your product.

Engineering teams and coding agents understand a complex product before they change it: what a change touches, what depends on it, and what will break.

Operate

AI operating your product.

Support, billing and sales agents act on what is true right now: the customer, the plan, the entitlement, the rules and the current state.

Hypothesis

The same AI can produce materially
different results depending on
the intelligence it receives.

Evidence

Benchmarks.

Benchmark #001 · Published

Answer quality against context spent

One repository, fifty questions in natural English, the model and its settings held constant, answers graded blind. 92% correct against 78% for the strongest alternative, on a third of the context.

Read the benchmark →
Benchmark #002 · In preparation

Task completion, not answer scoring

Whether a coding agent given the same human-language task actually completes it correctly — measured as successful implementation rather than as a graded paragraph.

Not yet published
Benchmark #003 · In preparation

Cost per successful outcome at scale

What a production agent workload costs per completed customer outcome, measured across a full run rather than a single request.

Not yet published

A BENCHMARK APPEARS HERE WHEN IT HAS BEEN RUN, NOT WHEN IT HAS BEEN PLANNED.

Principle

Closer to human intent.

People describe what they want in terms of products, customers, behavior and outcomes — not files, functions and dependencies. GitMir gives AI intelligence closer to the level of the original human intent, reducing the work required to reconstruct meaning from raw technical context.

Deployment

Cloud. Private Source.
Enterprise.

Cloud

Connect a GitHub repository. GitMir continuously updates intelligence as your software changes.

Private Source

Source code stays in your environment. The GitMir Local Connector processes permitted sources locally and securely synchronizes derived Intelligence with GitMir.

Enterprise

Everything stays inside your boundary. Private GitMir deployment, private MCP, and VPC, on-prem or air-gapped options.

IP

Proprietary.

GitMir's intelligence technology is proprietary. We publish benchmark methodology and measurable outcomes without publishing the internal representation or interpretation system.