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Representative Engagement · Illustrative
§ CS-002Fintech / Risk

Rebuilt risk platform.
Series C diligence passed in 11 days.

Sector
Fintech / Risk
Timeframe
9 weeks · Q3 2024
Team
5 operators
Context
Series C raise
§ 01Challenge

A risk engine that worked — until someone asked to see it.

Fold Capital's risk engine had been built incrementally over three years. It worked — losses were within bounds, exposure limits held — but it lived inside a spreadsheet model connected to a Python script that only two engineers understood fully.

An incoming Series C lead sent a due diligence request: full model documentation, five years of backtesting, and a stress-test suite covering the 2020 and 2022 market dislocations — delivered within three weeks. The timeline was not negotiable.

The existing system could not produce that documentation because it had never been written. The math worked; the evidence that it worked did not exist in a form an external auditor could read.

§ 02Approach

Document first, migrate second.

The instinct — to rewrite the system — was wrong. Rewriting introduces new risk and takes longer than diligence timelines allow. The first three weeks were spent mapping and documenting the existing logic without changing it: every formula, every parameter, every assumption, translated into written model specifications.

Weeks 4–7 migrated the core risk models into a proper backtesting framework — historical tick data, daily P&L attribution, Monte Carlo stress scenarios across 200 paths. The framework ran against five years of data and produced output in a format an external risk auditor could read in 30 minutes.

Weeks 8–9 were investor preparation: the data room package, a mock diligence session with the full document set, and a 30-minute briefing for the lead investor's technical advisor on the model architecture. We ran the mock before the real session so the team had already answered the hard questions.

§ 03What we shipped

A backtested, auditable risk framework.

The deliverables: a complete model specification document (47 pages), a Python-based backtesting framework with reproducible results across 2019–2024, a stress-test suite covering six historical scenarios, and a data room package formatted for institutional investor review.

The backtesting framework was designed to be maintained by the existing engineering team — not dependent on Qualiax tooling, not requiring external sign-off for parameter updates. The goal was an asset the company owned, not a deliverable that aged.

§ 04Outcome

Technical diligence cleared in 11 days.

The lead investor's technical advisor completed review in 11 days and flagged no material concerns. The feedback noted the risk documentation as "unusually complete for a Series C" — the backtesting format and scenario coverage exceeded what the diligence team typically received from companies at this stage.

The round closed at the original term sheet valuation. The risk framework remains in production. The company now runs a quarterly backtesting cycle — a process that did not exist before the engagement.

Composite engagement based on representative project structures. Client and outcome details are illustrative.

§ 04Initiate

Tell us what you're
about to build.

We respond to every brief in 48 hours. Long shots welcome — we keep the calendar light on purpose.