Boutique managers and family offices run research, risk, and reporting on a patchwork of vendor tools and spreadsheets. We design, review, and operate that infrastructure — data platforms where every figure carries provenance, monitoring that refuses to fail silently, and recovery that is demonstrated rather than assumed.
Every engagement is scoped, owned, and delivered by the principal. Capacity is deliberately limited — this is a practice, not a bench.
For the manager preparing for — or recovering from — an operational due-diligence exam.
The seat a boutique cannot fill full-time: ownership of the research and reporting data platform.
A defined system designed, built, tested, and delivered with its runbook.
Three buyers, three situations — slide through.
Four working rules — the same ones an allocator's operational due-diligence team is trained to test for.
A number that cannot name its source is a liability wearing a suit. Every figure we publish traces to the feed, the file, and the run that produced it.
Freshness, coverage, and run-health are alarmed separately — a feed that dies while reading green is the failure mode that costs the most. The same discipline runs to recovery: a backup that has never been restored is a hope, not a control, so restores are exercised byte-for-byte and the wrong key must be refused by name.
Systems ship documented, tested, and self-contained — with the runbook, not instead of it. If we ever part ways, any engineer can pick it up. No lock-in, ever.
Dynamic, interactive, visuals-first surfaces — not a monthly PDF. Click the figure and drill to its source; filter the book your way; watch a feed's health live. A report you can interrogate builds the trust a static page only asks for.
Trent Kilpatrick — CFA charterholder, FRM. M.S. Quantitative & Computational Finance, Georgia Tech.
Market and treasury risk, buy-side market risk at a multi-billion-dollar multi-strategy fund, family-office reporting and analytics, and fund-administration risk production — the systems this practice builds are the systems he ran.
Independently, he built and runs a production research and data platform — a working laboratory for the patterns this practice installs. Personal R&D, unaffiliated with any employer or client.
Most engagements begin with a referral and a thirty-minute conversation about what your allocators, your auditors, or your own mornings keep asking.
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