Services

Technical reviews for systems that need to be trusted.

Each review is bounded, evidence-led and designed to leave a team with a clear defect map and an implementable next step.

01

Market Data Parity Review

For teams replacing a data source, normalizing a feed or reconciling two supposedly equivalent views of the same market.

  • Coverage, symbols, contracts, strikes and expirations
  • Timestamps, sessions, trade date, corrections and cancels
  • Multi-leg records and unmatched taxonomy
  • Downstream analytical impact and regression controls
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02

Backtest & Research Integrity Review

For strategies and research pipelines where a promising result depends on honest historical availability and executable assumptions.

  • Point-in-time correctness and leakage
  • Commissions, spread, slippage, fills, rolls and expiration
  • Parameter sensitivity and reproducibility
  • Research-to-production consistency
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03

Financial AI Evaluation Sprint

For AI-assisted research or analytics workflows that require repeatable, source-grounded answers instead of plausible prose.

  • Numerical accuracy, source grounding and citation fidelity
  • Temporal correctness, tables and instrument interpretation
  • Omissions, edge cases and repeated-run consistency
  • Prompt/model regression tests and human-review gates
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Working principle

Follow-on work is optional and scoped.

Where a review identifies a bounded implementation need, follow-on support can cover a repair sprint, monitoring design or fractional research-infrastructure work. It is never assumed, bundled or hidden.