Cardumen
Operating margin

Every client keeps its own engineering brain.

Knowledge isolation by default. Reuse by policy. What you learn in one client never contaminates another.

Cardumen isolates knowledge by client and makes it reusable by approval. Git-versioned operational memory, AI cost measured per task and repeatable criteria without the senior on call.

Operational pain

Where energy is lost

You have eight clients and twelve developers. The team discovered three weeks ago that client X needs migrations with exponential backoff; it lives in a personal Slack. The developer who knew it resigned. The replacement spent six hours rediscovering it inside an already tight budget. Meanwhile the token bill rises 22% quarter over quarter and margin stays flat. Junior and senior deliver by different criteria. You already lost hours because sensitive client context entered another project.

Cardumen response

How it is fixed

Cardumen turns every client repo into an operational source of truth with isolation by default. Each client keeps its rules, decisions and private memory; the factory shares only what it approves as a versioned git skill. Verifiable, auditable and model-agnostic. The organization levels up without the senior on every call.

Expected outcomes

Visible impact without changing your stack.

Project onboarding measured in days, not weeks.

Less cross-account rework: approved skills are inherited.

Repeatable criteria: junior, senior and agents work against the same standard.

Client isolation proven, not assumed: sensitive data does not cross accounts.

AI cost measured per delivered task, not tokens burned in chats.

Fit signals

When this route makes sense.

You manage several client repos with different stacks and knowledge gets lost between projects.

The AI bill grows 20%+ per quarter and margin does not keep up.

Junior and senior close tasks by different criteria and you cannot unify them.

You already lost hours or a project because sensitive context leaked between accounts.

Practical route

Gradual adoption, with evidence.

01

Isolate each client repo

Rules, memory and commands per account, separated by default. Sharing is a decision, not an accident.

02

Promote approved skills

Bugfix, release, QA, onboarding and audit patterns become versioned skills for the rest of the factory.

03

Close with client evidence

Verify is integrated into the flow. Every delivery closes with traceable evidence for the client and the margin.

Next step

Audit your factory's operational memory.

We start with an A/B benchmark in a real repo. If measurable savings do not appear, we do not move to a proposal.

Request a benchmarkSee plans and pricing