Idmen
Company Brain

The brain your AI runs on

Every piece of work your team does makes your AI smarter. One colleague’s best work becomes the starting point for everyone else.

Idmen builds and organizes an integrated context layer for your organization and keeps it up to date. From that layer, the AI your organization uses delivers more than search results: it delivers finished, tangible work.

Grid congestion — workflow

Ask your AI a question

Everything your team runs on, in one place

What everyone on the team can do from day one.

  • Sophie · colleague
  • ChatGPT
  • Claude
  • Gemini

Same files, rules and context for people and agents

// 01

One shared memory

A single source of truth: every colleague and every agent works from the same files, rules and context the team has already built up.

  • projects/
  • clients/
  • processes/
  • people/
  • workflows/

Portable, exportable and yours

// 02

Your own context

Your team’s knowledge and workflows live in plain text files that you control. All information is portable, exportable and independent of any vendor’s system.

grid congestion 2024
  • Grid congestion: 2024 approachknowledge
  • Rijnstroomproject
  • Confidentiality policypolicy
  • congestion-model.pycode

4 categories · 0.2 seconds

// 03

Searchable from day one

Find everything your team has ever made. One search covers knowledge, projects, policies and code, by meaning as well as exact words.

What the brain knows

Jan → now
  • WorkflowProposals go past a partner first
  • RuleNever put client names in a file name
  • DecisionNo more fixed prices from 2024

More connections every month than the month before

// 04

Learns how you work

Every project, decision and conversation becomes part of the brain. That’s how it learns how your team works, which rules apply and how decisions get made.

  • Sophie

    RijnstroomMaasveld
  • Alexander

    this reportclient files

0 unauthorized disclosures

// 05

Knows who can see what

Permissions are enforced at retrieval, not just in the answer. If you weren’t on a project, you don’t get a summary of it either.

Not more knowledge, the right knowledge

Everyone works with the same model. The difference is everything around it: what the model gets to see, in what order and within which permissions. Sometimes the best answer isn’t in any document.

  • Connections, not piles

    Every project, client and workflow gets its own page, and those pages link to each other. Your AI follows connections instead of digging through a pile. The network gets stronger as it grows; a search index only gets fuller.

  • Finds what’s right, not what’s similar

    Several search methods cover each other’s blind spots, and a final ranking step weighs what answers the question. Current work beats outdated work that says the same thing.

  • Sees what sits between documents

    The brain looks at how documents relate, not just what’s inside them: where the same workflow shows up under three names, or where one piece quietly holds up four others. The network decides what belongs together, not the model.

  • Knows its users

    The brain remembers how someone works: which sectors, which writing style, which level of detail, which projects they worked on before. So a manager gets a different draft than a new colleague, without either of them explaining it every time.

Growing without forgetting

Outdated knowledge fails silently: a wrong answer looks exactly like a right one. It ends up in a report, and the first person to notice is the client. That’s why we keep the context layer up to date at all times. New final versions replace the old ones, outdated knowledge comes out, and we find and resolve documents that contradict each other. The updated memory is ready on every machine and for every colleague right away.

Open a page and read what it says

Want to know where an answer comes from? Open the page and see for yourself. Most systems don’t let you. They store your knowledge as numbers only a machine can read, and you have to take the answer on faith.

Bramerveld — ERP implementation

We’re starting the ERP implementation at Bramerveld Logistics. Do we connect the warehouse system directly, or put an integration layer in between?

search: ERP · warehouse system integration

filter: logistics · final

  1. Done: Searching projects and workflows
    • WordMeerdink Transport — implementation
    • Phased migration
    • ExcelMeerdink integrations
  2. Done: Keeping only final versions within your permissions
  3. Done: Ranking against the same integration question and software package

You’ve made this choice before. In a comparable implementation, . The number of interfaces doubled there in phase two, and the migration stayed separate from the rest of the landscape.

Hover over the highlight to see the source page.

Page from the brain

Meerdink Transport — ERP replacement

Client
Meerdink Transport
Sector
Logistics
Year
2023
Project type
System implementation
Workflow
Phased migration
People involved
Sanne · Ruben

Source file

Meerdink — Solution design v3.pdf

Related files

  • Lessons learned — phase 2
  • Workflow — phased migration

Ask your AI a question

Your best people’s approach, for everyone

How your best senior builds a proposal, which sources count, what gets checked before anything goes to the client: right now that lives in one head. We capture it once as a workflow, together with examples of their best work and why it convinces. We keep it current when the way you work changes. A new colleague works with the same approach from day one, and Pim delivers work that reads as if that senior had checked it.

Workflows

Workflow

Building a proposal

Captured with Marijke de Wit, partner

Steps

  1. 1Pull three winning proposals from the same sectorNo older than three years
  2. 2Check every piece for client confidentialityIf it isn’t allowed, it isn’t an example either
  3. 3Use final versions onlyDrafts and in-between versions don’t count
  4. 4Price from this year’s rate cardNever from the rate in an old proposal
  5. 5Have the partner read it before it goes outWhoever signs reads it first

Sources that count

Followed bySanne, Ruben, Joris and Pim

Nobody wants to be forgetful. Neither does your AI.

Right now, every session starts with instructions you have to give. Give it your organization’s memory, and it picks up where you left off.