A living graph of your project, so your AI builds the right thing, the right way, every time.
Myzelium turns your docs, code, and decisions into a living network, then routes the right context to every task and the right work to the right person. Nothing built on stale context. No gap left to become rework.
Grounded in peer-reviewed research · Proven on a 50+ developer org
Not a demo. Not a wrapper. A system built on peer-reviewed research and running in production.
Research accepted at ASE 2026 (Munich) and ICSME 2026 (Bologna), two of the field's leading software-engineering venues.
Running inside a 50+ developer software org, orchestrating real client work every day.
Works over the AI tools your team already uses. Complementary, not a replacement.
You can see the AI bill. You cannot see what it bought you.
Every team is spending on AI now. Few can tell you what that spend actually moved forward. The tokens are real and rising, but the value is a black box.
Here is why. Not everyone uses AI well. One dev writes a razor-sharp prompt, another hands the model a vague spec and ships a refactor waiting to happen. The AI does not know your architecture, your decisions, or last week's context, so it guesses. And you pay for every guess: in tokens, in rework, in bugs that trace straight back to context nobody gave it.
The work fans out across people and tools, and no one can answer the questions that matter. Is this built on current context or stale assumptions? Where are the gaps and contradictions hiding? Is the money we spend on AI moving the project, or just moving?
The context layer your AI has been missing.
Myzelium connects to your docs, your code, and your decisions, and turns them into a living network of your entire project. Not a static wiki. A graph that updates as you build, knows how everything connects, and feeds the exact right context into every task. Your AI stops guessing and starts building on what is actually true.
And because it is shaped to your team, your phases, your tasks, your workflow, the graph does not just model a generic project. It models yours.
It does not replace your existing AI tools. It sits above them: the layer that tells them what to build, with what context, in what order, and flags what is missing before it costs you.
How Myzelium turns your project into a live graph.
Docs, code, and every information source are parsed and linked into a single graph: entities, dependencies, and decisions as connected nodes, not scattered files.
The connected truth of your project.
Over that graph, Myzelium computes the optimal build sequence, traversing dependencies to order work for the least time and the fewest tokens.
No wasted steps, no wasted spend.
It continuously re-scans the graph for gaps, contradictions, and inconsistencies across sources, flagging conflicts before they propagate into code.
Caught early, when it is cheap to fix.
For any task, a spec, a code change, a decision, it resolves and pulls exactly the sub-graph that task depends on.
Nothing stale, nothing missing, no guessing.
When a gap needs a human, it matches the problem to the person best placed to resolve it, by ownership, expertise, and context, and assigns it.
The right work reaches the right hands.
Every task runs with the right context. Every gap reaches the right person. Every token spent moves the project forward.
We did not just build Myzelium. We ran our own company on it.
Before Myzelium was a product, it was how a 50+ developer software org shipped real client work, every day, on live projects. It is the proving ground the whole platform was forged in.
With every task drawing from one live graph, the AI stopped guessing, and the whole org stopped paying for guesses.
One org, deep. We are transparent that our proof so far comes from running Myzelium on ourselves, the deepest dogfooding there is, and the reason we know it works before you bet on it.
Your project. Live. Under control.
The graph is not just how Myzelium works. It is what you get to see. Watch context flow into tasks in real time. See gaps and contradictions the moment they surface. Know exactly where every token went and what it moved forward. When something needs a human call, you make it, with full context, not guesswork.
Every task, dependency, and decision, connected and current.
Contradictions and missing context surface for review, not after they ship.
Full line of sight into where AI spend went and what it produced.
Built on published science, not just claims.
Myzelium's approach is grounded in peer-reviewed research accepted at ASE 2026 (Munich) and ICSME 2026 (Bologna), two of the leading venues in software engineering. Both papers are available to read in full.
Read the researchStart with engineering. Scale to everything.
Myzelium starts with software development because that is where the pain is sharpest and the graph is richest. But a living graph of how work actually gets done is not limited to code. The same layer that orchestrates your engineering can orchestrate your company. This is the operating system for how teams build with AI, starting with the teams who build software.
See your project as a living graph.
Myzelium is in private beta with a limited number of teams. If your team is building with AI and tired of paying for guesswork, we would like to show you what running on a live graph feels like. A few spots remain.
A short conversation, then a walkthrough on your own project.