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Zoom in. Reason out.

Bring a difficult problem. Find a defensible way forward.

RAZOOM is designed to return a reasoned conclusion or the next step needed to reach one.

Describe the problem in your own words. RAZOOM frames the questions that matter, tests assumptions and chooses methods suited to each part.

Request Early AccessExplore a Worked Example
Conceptual illustration: a Poland expansion question is broken into smaller questions, routed to suitable methods, and brought back into a conditional Case outcome.

See what the analysis rests on.

A useful Case outcome shows its reasoning, its limits, and what to do next.
  1. 01

    Frame the real problem

    Turn a broad question into an objective, constraints and any choice at stake.

  2. 02

    Challenge the assumptions

    See what the answer depends on and where more evidence would change it.

  3. 03

    See what follows

    Get a supported conclusion or a next step, with its conditions and open questions.

Start with the problem in front of you.

These conceptual examples show the kinds of questions RAZOOM is being designed to handle.
Strategy

Enter a new market

Compare expansion paths and the evidence needed before committing.

View example Product

Respond to rising churn

Test whether a price change explains customer losses before reversing it.

View example Operations

Plan launch capacity

Expose demand and staffing assumptions before setting a launch date.

View example
See all examples

Private by architecture.

RAZOOM is designed to use local models and formal tools wherever practical.

Frontier cloud models are not part of the automatic execution path.

Inside your boundary

  1. 1

    Private context

    Your problem, documents and data.

  2. 2

    Local processing

    Local models and formal tools do the work.

  3. 3

    Sanitized abstraction

    If outside help is ever useful, only an abstracted version of one subproblem is prepared.

Operator authorization

  1. 4

    Optional external reasoning

    A frontier model, only for that task, only if a person approves.

Diagram: private context is processed locally by local models and formal tools. If external help would be useful, a sanitized abstraction is prepared, and nothing leaves the boundary until an operator authorizes that specific request. Only then can an external frontier model be used, for that task only.

Frontier models require explicit operator authorization.

In plain terms: your problem stays on systems you control unless a person decides otherwise — for one specific task, after seeing exactly what would be sent and why.

A frontier model is never a silent fallback.

It is not used automatically because:

  • a local model failed
  • confidence is low
  • models disagree
  • the reasoning is difficult

Bring us a problem you are working through.

Tell us the problem, any choice at stake, and what makes it difficult. We review requests and invite applicants whose problems fit the first previews.

Request Early AccessHow It Works