How it works · Security

Your code stays yours.

Adopting Myzelium should never mean giving up control of your codebase. Everything below exists to make one thing true: your code, your data, and your decisions stay yours.

Data ownership

Your data is yours, and it never trains anyone else's models.

The most important promises first, in plain terms.

You own your data.

Your code, docs, and decisions stay yours. We process them only to run the service for you.

No training on your data.

Your code and data are never used to train models outside the ones serving you. Nothing you put into Myzelium becomes training data for anyone else.

Your choice of models.

Your data flows only to the AI models you have chosen, not to others.

Architecture

Isolated by design, not just by policy.

Trust should come from architecture. Each customer's information lives in its own isolated tenant, separated from every other customer's at the architecture level. Your data is walled off by how the system is built, not only by what our policy says.

Tenant isolation.

Every customer's data is isolated in its own tenant, with no crossover between customers.

Standard practices

The fundamentals, done properly.

Encryption everywhere.

Your data is encrypted in transit and at rest.

Access controls.

Access is restricted and controlled, so only the right people and services can reach your data.

Least privilege.

Systems and people get only the access they need, nothing more.

Enterprise

For enterprise, Myzelium runs inside your infrastructure.

When your requirements demand it, Myzelium can be installed inside your own infrastructure. Your data never leaves your environment. You get the full platform, self-hosted, under your own security controls and network boundaries.

Self-hosted for enterprise.

Deploy Myzelium in your own cloud or on-prem environment, so your most sensitive code and data stay entirely within your perimeter.

Trust in output

Know how much to trust every output, and why.

AI that cannot show its reasoning is a risk. Myzelium makes the trustworthiness of AI output visible and inspectable, so you are never asked to take a result on faith.

Confidence scoring.

Every output produced through Myzelium carries a confidence score, so your team knows at a glance how much to trust it before acting on it.

Score traceability.

You can see how each confidence score was produced: what context it drew from and why it landed where it did. The score is auditable, not a black box.

Output · pull request draftGenerated · needs review
Invite teammates by email
src/invites/service.ts · 3 files changed
0.86confidenceWhy 0.86
Why this score · 4 context nodes
Approved spec · Auth flow v3raises
Decision · Seat limit follows the plan · Apr 2raises
Tests · 12 of 12 passingraises
Missing · Invite expiry policy not definedlowers
Scored Apr 2, 14:08 · recorded in audit trail
Fewer hallucinations

The network is how we keep AI honest.

Most hallucinations come from missing or wrong context. Because every task in Myzelium is grounded in your living neural network, the AI works from what is actually true about your project instead of guessing to fill the gaps. When the context a task needs is missing or contradictory, Myzelium surfaces that for a human instead of letting the AI invent an answer. Grounding in real context, and refusing to guess when context is missing, is how we cut hallucinations at the source.

Compliance

Building toward the standards you expect.

We are building Myzelium to meet the compliance standards enterprise teams require. SOC 2 is in progress. We are happy to share our current status and roadmap with your security team under NDA.

SOC 2 · In progress

Data ownership and processing are governed by our Terms of Service and Data Processing Agreement, available on request.

Bring it to your security team.

We are ready for the hard questions. Let's walk your team through the architecture and terms in detail.

Get started