Off-the-shelf doesn't fit your fund.
Neither does generic AI.
We build fast with AI — but never off the leash. Left free, a model writes code that demos well and breaks in production; in a fund, bugs cost money. So we constrain every step through our own AI pipeline, with a human accountable for what ships.
What we've built lately.
A front-to-back platform for a $2.5bn asset manager
Years of in-house tools — different languages, no shared deployment, no APIs — replaced by one open platform for portfolios, compliance, risk and distribution.
Read the case study Risk · long/short equityTen things a quarterly risk report wasn't showing
Two factor models, scenario tests and a behavioural read of the book — around ten ranked findings standard reporting missed.
Read the case study How we buildA homemade AI development pipeline
Mechanical gates, forced tests, adversarial review — a pipeline we engineered ourselves. It makes us faster and the code more correct, with a human owning the business logic.
See the pipelineHave a project in mind?
A short intro call is the fastest way to find out if we're a fit.
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