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Work with us

Choose the first workflow worth proving.

We build a working AI workflow around it, show you real progress quickly, and keep going only if the work is useful.

Ways to work together

Start small. Continue when it is useful.

Most teams begin with one decision. From there, we can keep the work running, move to the next question, or deploy it inside your environment.

01 / First engagement

Build the first useful version.

Tell us the decision, the information available, and what a good result looks like. We build the smallest version that can be useful in the real world.

You leave with a working result, the sources behind it, and a clear sense of what should happen next.

  • One important decision
  • Direct work with both founders
  • Real progress within 48 hours
  • A working result your team can inspect
Bring us a question

02 / Ongoing work

Keep it running. Move to the next question.

Keep a useful workflow current, then move to the next decision that can reuse what is already in place.

Each project makes the next one easier, while your team keeps the work and the knowledge behind it.

  • A clear list of what to tackle next
  • Founder-led delivery
  • Updates as sources change
  • Training and handoff to your team
Discuss what is next

03 / Private deployment

Run it inside your environment.

If the data or workflow needs to stay inside your environment, we can run the relevant parts there.

Your team gets the same working process without sending private data outside your controls.

  • Deployment in your environment
  • Controls matched to the work
  • Private data stays private
  • Documentation and handoff
Discuss deployment

How we work

Same work, two views.

For you, the engagement stays simple: command, reveal, run, keep. Under the hood, we keep the sources, structure, judgment, and receipt visible.

For the practitioner

  1. 01Command
  2. 02Reveal
  3. 03Run
  4. 04Keep

Under the hood

  1. 01Source
  2. 02Structure
  3. 03Judgment
  4. 04Receipt

Public work

See how we work before you hire us.

These public tools and examples show how we use real sources, make uncertainty visible, and build things people can actually use.

Structured finance

DealCharts

A working service built from public filings, with the source and date attached to the answer.

Explore DealCharts

Verification

Receipts MCP

A public server that checks supported claims against filing data and shows what supports the result.

See setup and evidence

Procurement

Vendor pressure test

A public-data example that asks whether a resin price increase is supported and what would change the negotiating position.

See the procurement signal

Source check

Loom in use

A worked example of a question answered from public data with an openable source behind it.

Read the case study

Questions before you book.

Where do most engagements start?

With one important decision. We agree on what a useful result looks like, then show real progress within 48 hours.

How do you price the work?

It depends on the question, the data involved, and where the work needs to run. We quote it after a short conversation about the first decision.

What does our team keep?

Your team keeps the workflow, data work, rules, documentation, and other materials created during the engagement.

Do you work in procurement as well as capital markets?

Yes. We work on different kinds of decisions when the answer depends on messy evidence and getting it wrong is expensive.

What happens after the first workflow?

Continue only if the result is useful. We can keep it current, move to the next question, or hand it fully to your team.

Can the workflow run inside our environment?

Yes. If the data or workflow needs to stay inside your environment, we can deploy the relevant parts there.

Bring us one question.

Tell us what you are trying to decide and what information you already have. We will find the smallest useful place to start.