Source-grounded synthetic
financial reasoning data

Synthetic data
for financial reasoning

Begin with a scoped private evaluation around your institution's work.

Aperture turns permitted financial sources into institution-specific datasets of research questions, worked examples and evaluation cases, with reviewed answers, reproducible calculations and traceable evidence.

Explore the approach
Datasets

Financial reasoning datasets with reviewed reference answers.

Evaluations

Private evaluations showing where financial AI succeeds, fails or needs further review.

Built on Aperture's institution-specific AI foundation.

The approach

Real sources.
New reasoning examples.

Start with permitted filings, research and API data. Generate financial tasks, candidate answers and scenario variants while preserving the source evidence behind reported facts. Clearly label invented assumptions and altered values.

  1. 01

    Sources

    Permitted filings,
    research and API data.

  2. 02

    Generated

    Questions, candidate answers
    and scenario variants.

  3. 03

    Computed

    Financial calculations
    with linked outputs.

  4. 04

    Reviewed

    Source evidence, results
    and unresolved findings.

The generated examples are synthetic. Their financial facts remain grounded in identifiable sources. Generated answers are independently reviewed before inclusion.

Four dimensions of quality

Inspect the evidence
behind each result

Source support
Does the cited evidence support the claim?
Factual correctness
Do facts, periods, units and assumptions withstand review?
Calculations
Can the results be independently reproduced?
Consistency
Do the financial model, chart and report agree?

See what passed, what failed
and what remains unresolved.

Results include the counts and correction records behind each finding. Findings apply to the reviewed examples and checks; model-training benefit requires a separate experiment.

Environment

Generate in your environment

Run in your cloud or on premises, with models inside the agreed boundary and your access and retention policies. Verify inference, tools, approved external connections, logs, backups and support access before generation.

Local hosting alone does not establish isolation or zero egress. Aperture hosting for your firm alone is separately contracted.

Ownership

Own the work
built for you

Retain your rights in supplied materials. Own agreed institution-specific deliverables under your contract.

Aperture's pre-built core is licensed; third-party source and model licenses apply. Hosting does not transfer model IP. Agree supplier reuse, permitted uses and exit rights explicitly.

Start with your institution's work

Discuss a financial
validation case.

Explore the evaluation scope

Start with a financial question, permitted source material and agreed review criteria. Dataset production and a private evaluation are separately scoped options.