Risk teams spend disproportionate time on manual reporting, scattered data wrangling, and one-off Excel work that never quite reconciles. We help you give that time back — by automating what doesn't need a person, building audit-grade analytics, and embedding AI into daily workflows in a way that respects the judgment of the people on the desk.
We work with one or two design partners at a time. Every line of code we deliver is yours, runs on your infrastructure, and is documented well enough for your team to extend without us.
Each one maps to time your team is losing today — and a place where AI, applied carefully, gives that time back without taking judgment with it.
Daily VaR, PnL, position decks, limit summaries, end-of-day reconciliations. The same person is doing it every morning at 7am, in Excel, and praying nothing breaks. We replace that with deterministic pipelines that run overnight and produce the same decks — without the morning anxiety.
Counterparty exposure, stress testing, factor attribution, scenario analysis. We build the reports against your real book, with the same audit fabric we use in ExposureGuard — every input hashed, every output reproducible, every methodology documented.
Positions in one system, market data in another, ISDAs in a folder share, P&L in someone's spreadsheet. Before AI helps anyone, the data has to be canonical, versioned, and queryable. We design the schema, build the ingest, and version every input — so your AI layer answers from a single source of truth.
LLMs grounded on your real data, with cite-by-row provenance and a human-in-the-loop gate at every decision. We don't bolt AI on top of broken processes; we use it to take the repetitive layer off humans so they can spend their time on judgment.
What the same risk officer's morning looks like before and after a typical engagement. The job doesn't get smaller — the time-on-task does.
The risk officers we work with are not afraid of AI taking their jobs. They're afraid of AI being deployed badly — on top of bad data, without an audit trail, by people who don't understand the regulatory weight of a model output. That's our standard too. Every AI workflow we build is grounded, sourced, and gated by a human approval where it matters.
The skills that keep risk professionals irreplaceable — and the skills our engagements amplify.
Short, focused, handover-first. We don't try to embed ourselves forever — we try to leave your team better equipped than they were.
We sit with the team, watch the real workflow, and agree on the one or two highest-value automations. No deck, no commitment yet.
Deterministic pipelines first, AI second. Same audit fabric and reproducibility standards we apply to our own products.
Code is yours. Deployment is yours. Methodology is documented. We're available for follow-on but never required.
If you want a monthly check-in or a small retainer for changes, we offer it. If you don't, we go away cleanly.
Hedge funds and family offices, $50M–$5B AUM · risk teams losing days a month to manual reporting · funds with scattered data they want to consolidate before adding AI · CROs and COOs who want AI in the workflow but not at the expense of audit defensibility · teams that value working with one engineer who knows the domain over a team of consultants who don't.
Tier-1 banks needing full-stack vendor procurement · pure HFT shops where latency is the product · funds looking for an off-the-shelf platform with a sales rep · engagements that require us to take over a team's work indefinitely — we're handover-first by design, not staff-aug.
The discovery call is free and ends with a one-page note: what we'd actually do, how long it would take, and whether you should do it with us or build it in-house. No pressure either way.