The operating system for software teams

Keep your whole team and your AI building from one shared context.

Myzelium turns your docs, code, and decisions into a living neural 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.

Peer-reviewed

Research accepted at ASE 2026 (Munich) and ICSME 2026 (Bologna), two of the field's leading software-engineering venues.

Production-proven

Running inside a 50+ developer software org, orchestrating real client work every day.

Provider-agnostic

Works over the AI tools your team already uses. Complementary, not a replacement.

The problem

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?

Spend without visibility
Tokens burned, no line of sight to value.
AI misuse
Output quality swings with whoever is prompting.
Rework from bad context
Wrong specs in, refactors out.
Gaps and contradictions found late
When they are most expensive to fix.
Before · unlinked context
contradictioncontradiction
After · one living neural network
gap · routed to ownersourcesspecstasks
The solution

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 it works

How Myzelium turns your project into the living neural network.

The living neural network is the engine underneath everything Myzelium does. It runs continuously, and it does five things.

01
It maps everything.

Your docs, code, and every source become one connected network of entities, dependencies, and decisions, not scattered files.

The connected truth of your project.

02
It finds the best path.

It computes the optimal build sequence across that network, ordering work for the least time and the fewest tokens.

No wasted steps, no wasted spend.

03
It catches what is wrong.

It continuously scans for gaps, contradictions, and inconsistencies, flagging them before they reach code.

Caught early, when it is cheap to fix.

04
It feeds the right context.

For any task, it pulls exactly the part of the network that task depends on, nothing stale, nothing missing.

No more guessing.

05
It routes work to the right person.

When a gap needs a human, it hands the problem to the person best placed to solve it, by ownership and expertise.

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.

Stage 1 · Maps everything
sources linked into one graph

With the living neural network underneath, every task runs with the right context. Every gap reaches the right person. Every token spent moves the project forward.

See the full workflow →
Case study

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.

70%
faster development speed
40%
lower token cost

With every task drawing from one living neural network, the AI stopped guessing, 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.

Governance

See and control what your AI is doing.

As AI does more real work, the risk is not that it is too slow. It is that no one can see or control what it is doing. Myzelium gives you one live view of AI activity across your team, keeps a human in charge of the decisions that matter, and records every decision so you can prove what happened.

The Myzelium workspace: a live project graph with node preview, network filters, and role view
Oversight

One live view of what the AI is doing across your team, with a confidence score on every output.

Control

When a decision needs a human, Myzelium routes it to the right person instead of guessing. You set what the AI can decide on its own.

Traceability

A full audit trail of every AI action and human decision, what, who, and when, plus where every token went.

See how Myzelium governs AI across your team →
Use cases

Myzelium works two ways.

For the team that builds, and for the organization that wants to build differently. Wherever you sit, Myzelium gives you one living source of truth to build from.

Security

Your code stays yours.

See how Myzelium protects your code →
  • Every customer's data lives in its own isolated tenant.

  • Your code and data are never used to train outside models.

  • For enterprise, Myzelium runs on-prem, inside your own infrastructure.

See your project as a living neural network.

Myzelium is in private beta with a limited number of teams. If you are building with AI and tired of paying for guesswork, choose how you want to work with us, from bringing Myzelium to your team to hiring a team that already builds with it.

A short conversation, then a walkthrough on your own project.