Cloud data applications for mid-sized and large companies
Framing and taking on broad IT problems. Failures rarely occur inside a component: they occur at the interfaces. Between two clouds, two teams, two data regimes. Engagements are short, with a verifiable deliverable and a written handover, and run just as well with international teams.
The current passes, or it does not. The data and the compute are already there; what remains is the wiring, then the gesture. What closes can open again, and the previous position stays as a trace: the oldest image we have is a hand withdrawn from the rock. Against a climate shock, a health crisis or the acceleration of AI, resilience is not what you add, it is what you can cut without losing the rest.
Six ways to engage, from scoping to production. Each produces a deliverable proven in the field, one an in-house engineer can read, take over and sign off.
Six real clients, sectors and roles.
Open-source tools meant to make an independent’s life simpler. They belong to no client engagement: separate, open work whose assumptions are shown and editable. Two of them below, the rest on the products page.
“It saves me time” comes apart into three claims: the work takes fewer hours, those hours are no longer alike, and more is expected of you per day. Six questions answered while reading, and the page works out which one is yours. What bounds the gain sits in the review, not in the speed of the model.
Long-term wealth drawdown, calibrated for France and Japan. Two tax regimes inside one model, which makes visible what the jurisdiction actually changes.
Positions taken from the engagements, dated to the day the work happened.
