Frequently asked questions

A supply and preparation pipeline starting with finance-agent software companies and the production traces, corrections and workflows they already generate. Approved material could become datasets or environments licensed to AI labs and developers, with agreed supplier revenue shares. Current examples are authored; source-derived licensing is in development.

The intended starting point is existing activity inside finance-agent products, rather than commissioning people to recreate routine work. Experts may still review cases and calibrate graders. Production access and a finance focus become advantages only if the resulting material is usable and adds value.

Try a task in all ten segments, from selecting a comps set to reviewing a fictional claim, or use the reconciliation workbench. Each demo grades your structured choices against authored case rules and explains the result; no supplier records, model inference or training are involved.

Numbers right checks the submitted figures and calculations. Traps caught checks whether the answer addresses the planted failure, and Sound decision checks it against the fictional task’s rules. These deterministic demo checks are not independently calibrated professional judgment.

The public demos are inspectable authored development cases, not an untouched holdout. Scripted references and repeated demo attempts do not establish model quality or training improvement.

Finance agent companies and in-house teams can explore contributing approved experience and earning a share of licenses; independent builders are welcome too. AI labs and developers can discuss licensed datasets and environments for training and evaluation.

We match one authorized supplier to one buyer requirement, agree acceptance criteria and prepare one exact package. The buyer’s acceptance, rejection or rework feedback guides what we source next. Approval, payment and training improvement are separate evidence.

Your own experts and tasks may be sufficient. A pilot should show useful additional coverage, reliable grading, or preparation work it saves. We start with your missing task and acceptance criteria; those advantages are hypotheses to test.

The proposed model shares attributable dataset or environment licensing revenue including only repeat licenses covered by the supplier agreement, rather than paying a per-case bounty. Source rights, attribution, share, timing and permitted lab uses are agreed individually; submission or review alone does not trigger payment, and no contributor earnings are established. Read the contributor payment path.

A pilot’s deliverable, intended use, acceptance conditions, rights, and commercial terms would be agreed individually. The public demo requires no signup or payment. A contact request creates no payment obligation.

You can start a finance agent company conversation with a general business summary; connections are scoped during pilot onboarding. We first map the existing product data and confirm one useful workflow. An agreed pilot may prepare a reviewed dataset or use an authorized supplier-approved pattern brief to inform synthetic scenarios. Authority, privacy, permitted derivatives and terms are reviewed before source access.

No. Public forms are for contact details and non-confidential business summaries only; they provide no finance source-upload channel or supplier-side extraction. Keep confidential information, client identifiers, and material nonpublic information out.

It is stored for assessment and follow-up through the private operator service. It is not published or included in environment releases. Read the application privacy information for access and deletion options.