Dissei / Products

Material for
learning finance.

Training data, evaluations and environments, built around real financial work.

Train

Give the model material worth learning from.

Training data

Worked examples and training records built from real financial decisions, reviewed by practitioners.

Training and evaluation rights stay separate.

Illustrative specimen

Training data · provenance & reviewpress a row
ValuationUnderwritingRiskStructuringMarkets

Built from real deals, signed off by practitioners, delivered to the buyer’s format.

Reference trajectories

Follow an analysis as evidence arrives, a view changes and the work takes shape.

Reconstructed and practitioner-calibrated; not raw analyst-session replay.

Illustrative specimen

Reference trajectory · one deal, workedpress a row

A practitioner-calibrated demonstration of how the work is done, not a record of a live session.

Evaluate

Examine the judgment behind an answer.

Sealed evaluations and graders

Assess financial judgment against fixed criteria, with evidence behind each score.

Criteria freeze before evaluation. Later outcomes never become the reward.

Illustrative specimen

Evaluation · sealed criteriapress a row

The public principle is evidence-linked, decomposed, practitioner-reviewed assessment.

Run

Carry the work through a changing case.

Long-horizon workflows

One agent carries a case across stages, with work and decisions that persist.

Information arrives as the case advances; each step uses only what was knowable then.

Illustrative specimen

One case · six weeks, four stagespress a stage

117 graded tasks across 4 stages and 7 reasoning categories. Counts are the reference case as published; the per-stage distribution remains sealed.

Packaged RL environments

A dated financial world, its tools and graders, ready to run inside your infrastructure.

Already have an environment? Receive the underlying data, tasks and reward components.

Illustrative specimen

Environment · one graded taskpress a row, cycle the category
Anchor 2020-03-11Analyst tooling

Covenant headroom narrowed while revenue held flat. What broke, and when?

Delivery

Your pipeline.
The right material.

Training records, graders and evaluations arrive in your data formats. A runnable environment, where useful, runs inside your own infrastructure.

The five Dissei offerings, their intended use and delivery.
MaterialForDelivery
Training dataWorked examples and training recordsVersioned JSONL or Parquet, with schema documentation
Reference trajectoriesDemonstrations, corrections and continuation pairsControlled reference artifacts with provenance
Sealed evaluations and gradersEvidence-linked, decomposed assessmentScores with replayable transcripts and rubric versions
Long-horizon workflowsStaged financial work, from screening onwardPoint-in-time datarooms and permitted tools
Packaged RL environmentsExecution in the buyer’s evaluation or training perimeterRunnable environments, or underlying components

Start with one case.

Run one sanitised case in your acceptance harness. Expand only if it adds measurable signal. No stack adoption required.

Talk to us

Component views are illustrative renderings. They reflect published methods and measured task totals where stated; the training-data and trajectory views are artifact sketches. For common questions, read the FAQ.