Your company, in its own words.A world model, starting with your people.
Transcript has a private conversation with everyone in your company and turns what they know into a world model of how work actually gets done. Every decision and every AI agent can work from it.
Talks with everyone. Privately.
Hundreds of conversations at once, in each person's own language. Transcript compares what was said with everyone else, keeps the contradictions, and asks the question nobody has been asked yet. The tribal knowledge that never reached a system reaches the model.
One world model of how your company really works.
Thousands of things people said, each checked back with the person who said it, become one living picture of the company. It stays current as the work changes.
Every process, as it really runs.
How work actually gets done, not how the org chart says it does.
What hurts most, counted.
How many people raised it, and what it costs in your own hours.
Who everything depends on.
The handoffs, the single points of failure, the quiet experts nobody put on a chart.
Visions of what your company could become.
For each problem your people raised, Transcript writes a vision: the same company with that problem gone, valued in your own hours. You choose what is worth building, on the real process rather than the official one. No shallow AI.
Ask your company anything.
The world model answers, with the source attached. As it fills with what usually happens, it starts to tell you what will.
Private by design.
No one can read a conversation. Not a manager, not us. Everyone sees the world model, never one person's words.
Yours to correct.
Every learning shows the sentence it came from, and nothing counts until the person who said it has approved it.
Works where the work is.
Half of most companies never sits at a laptop. The same conversation runs on a phone, on the floor and in the field, so the model hears the whole company.
Frequently asked questions.
Who can see what I say?
Nobody. Your manager, and management in general, never see what you say. This is enforced in how the product is built, at the database layer, not by a policy. Managers see how much of the company has been heard and what the company as a whole knows, never a conversation, a quote or a summary of one person.
Does Transcript capture tribal knowledge before someone leaves?
Yes. That is most of what a world model is made of: the way work actually gets done, which lives with the people doing it and rarely reaches a system. Transcript hears everyone, so the knowledge of the quiet expert everyone asks is in the model before she hands in her notice.
How is this different from process mining or an employee survey?
Process mining reads system logs, so it sees the steps that touched a system and misses the phone call, the spreadsheet and the workaround. A survey asks everyone the same questions once. Transcript has an ongoing conversation with each person about their own work, asks again where accounts disagree, and keeps the contradictions, because that is where the cost sits.
Can it tell me who my single points of failure are?
Yes. The world model shows who everything depends on: the handoffs that run through one person, the report only one person can produce, the approval that waits for someone who is rarely in. You see the dependency, never the conversation.
Is Transcript a hiring or assessment tool?
No. Transcript talks with the people already in the company about how the work runs. No manager can read what any one person said, so it cannot be used to assess individuals.
Is my data used to train AI models?
No. Conversations are processed to extract learnings and stay within your organisation's own review. Your data never trains models, and Transcript records nothing outside the chat.
How do we start?
Book a demo. We show Transcript on an example company, answer your questions, and if it fits we set up your company. People start talking with Transcript the same week.
Will the world model predict things, or only describe them?
It starts as a picture of how the company works today. Because the conversations keep going, the model fills with what usually happens: what stalls, what gets escalated, what breaks when a key person is away. That motion is what lets a model predict rather than describe, and it is where our research is going.