GITMIR · ECOSYSTEM
A single object context unifies everything your company knows — and autonomous, self-learning tools build on it, creating your products, growing them and advancing the business with no one driving.
The product, live
ide.gitmir.com builds a working product from your idea. It splits the job into tasks, then writes, checks and ships them automatically — using your own Claude Code, Codex or Cursor — and shows you every part as it takes shape.
Autonomous strategy
An autonomous, self-learning module that builds your strategy to hit target KPIs — it gathers data, forms hypotheses, tests them, analyses the results and adapts on its own. Plugged into the GitMir IDE, it spins up tasks that execute automatically.
A self-evolving network
Septetra builds and orchestrates a network of autonomous, self-developing modules — all living inside the single GitMir context field, processed algorithmically at instant speed, with no AI needed to assemble the right context.
Big context, solved
GitMir turns your whole product into one connected model — every part, and how each one links to the rest. For each task the AI gets exactly the context it needs, nothing extra — so even big, complex problems get solved accurately and for far less.
Tasks, automated
Inside the IDE, GitMir creates the tasks and controls their execution — using the data model to deterministically assemble the exact context for each one.
Architecture, visualized
The product architecture is generated and visualized by AI — so you know exactly what is being built, layer by layer, before anything ships.
Business impact
Efficiency you can see in the API bill and in the speed of your whole team.
The ecosystem
We build innovative, game-changing solutions — a growing ecosystem of AI products that redefines how complex work gets done.
Always evolving
We grow the same way every year — continuously, without stopping. From building our own frontend and backend technology, to a SaaS for development, to now taking the best of it and creating frontier solutions on our pipelines and information models for working with large context.