For engineering leaders

Stop making your best people
the company's search engine.

Every person you add makes coordination more expensive. Nobody can move without asking someone first (what was already decided, why it's built this way, who owns this now) and the queue always forms at the same four desks. Growth doesn't slow you down. Routing everything through people does.

Belgian company, hosted in the EU · European AI processing · From €45/month, flat

One afternoon, one senior engineer
Ana Ferreira, Staff Engineer, Platform
Nine interruptions · none about her work
  1. 11:20Context

    “Why is the deploy pipeline built like this?”

    Answered properly, for the fourth time this year, to the fourth person. Each answer takes twenty minutes and reaches exactly one engineer.

  2. 14:05Already decided

    “Are we still not doing multi-region?”

    Argued and settled eight months ago. Nobody in this meeting was there, so the meeting happens again, and might land somewhere else.

  3. End of dayThe real cost

    Your most expensive engineer answered questions all day

    None of it was work only she could do. All of it was context only she had.

The problem

Nobody can move until someone else answers.

The symptom you'll notice first is more meetings and a heavier organisation. That's not the problem. It's what the problem looks like from the outside. The problem is that context only travels by interrupting somebody.

In practice:

Missing context
People can't act on their own, so they ask. Every question is small; the sum of them is somebody's week.
Decisions nobody knows were made
So they get re-opened, re-argued, and occasionally re-decided differently by people who weren't there the first time.
The human API
Three or four seniors become the route everyone takes to reach context. It's a tax, and you're paying it at the highest rate you have.

Docs go stale, so people ask a human. Meetings scale with the square of the org.

What changes

Let people get context without going through a person.

Not a wiki, and not a decision log. Both of those need someone to sit down and write them. This accumulates from the conversations that already happen, and answers in plain language. Think of it as a digital assistant for the organisation: it keeps building from hiring through reviews and the day-to-day, so people spend less time asking and more time building.

Who knows what, without asking around

Expertise, ownership and history that accumulate from real work instead of a skills matrix nobody updates after the quarter it was introduced. One fewer reason to interrupt a staff engineer.

Decided once, and it stays decided

What was agreed, when, and why, so the fourth person to arrive inherits the argument instead of re-opening it. Plus the retention signal underneath it: the same concern across three 1:1s and two managers reads very differently to the same concern raised once.

Reachable by your agents

Available over MCP and API, so the assistants your team already uses answer from your own history, with the same permissions the person asking already has. The query goes to a tool instead of to Ana. See the endpoints.

Want to see it against your own situation? Get in touch.

Priced on employees, not seats.

One flat monthly fee per tier: no per-seat fees, so adding a manager never costs more.

See pricing
The difference

Every system you own remembers the work. None of them remembers the people.

Git has your history. Jira has your throughput. Your HRIS has job titles and a salary band. The thing that decides whether next year goes well: who is growing, who is stuck, who was promised something in a conversation nobody wrote down is held informally, by individuals, and it resets every time a manager changes.

Your current stackRemembers artefacts
  • Commits, tickets, incidents, docs.
  • Perfect recall of what was built.
  • Nothing about who is carrying what.
  • Manager changes reset the context.
SymboryRemembers people
  • Conversations, commitments, growth.
  • Recall of what was said, and when.
  • Key-person risk visible before the resignation.
  • Context survives the reorg.
Trust

Where this data lives, and what the AI is allowed to do.

You'd be putting conversations about real people into our hands. Here's what happens to them.

“Where does this data actually live?”

In Europe, on our own infrastructure. A Belgian company, hosted in the EU. Recordings are transcribed on our own servers and never leave our infrastructure. Our AI provider processes in its European region, receives only what a task needs, and never trains on your content.

“What does the AI decide?”

Nothing that affects someone's job. No automated employment decisions, no covert monitoring, no emotion recognition, no inferring protected characteristics. It helps people remember better; humans stay responsible for every decision.

“Can I turn the AI off?”

Yes, entirely or per person. Review anything it writes before it's saved, and delete it afterwards. Nothing is ever generated behind your back.

“What happens to what we already have?”

We migrate it for you. Your existing pipeline and history come across, so the timeline doesn't begin on the day you signed up. Full GDPR rights throughout: access, correction, deletion.

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Rather talk to a person first? Get in touch.