Marginal cost
- Legacy fund ops
- Headcount scales linearly
- Typical AI add-ons
- Another seat fee
- AIDGE
- Mostly compute once it runs
You connect a broker and set a strategy. A hierarchy of AI agents runs the research, allocation, and execution, the way a fund used to need a full floor of analysts and a CIO to do. Your book stays yours. Every decision replays from scan to fill, with the evidence behind it.
02The pipeline
The same steps a fund used to run by committee. The work of a full analyst floor, running as software, on your book. Agents run them in order, around the clock, and log every handoff. Any trade can be replayed later, scan to fill.
News and macro agents watch the wires around the clock. They flag what is worth a real look and route it to the right sector pod.
Fundamental, technical, and news agents work the same name in parallel. They pull data, challenge each other, and converge on a thesis.
The sector PM aggregates the three lenses into a single pitch. Thesis, sizing ask, catalysts, risks. Same artifact a human PM would put on the table.
The CIO ranks pitches across pods, sizes each position against the mandate, and balances risk across the book.
Compliance gates every order against your mandate, restricted lists, and limits. Anything that fails never leaves the system.
The execution agent routes the order to the broker, watches the fill, and logs it end to end. No desk to staff. You supervise and the agents execute.
03Comparison
Most “AI for finance” stops at the research desk. That still leaves you hiring analysts, PMs, and traders to get from idea to fill. You stay on top. The agents do the work.
Three approaches, row by row
04FAQ
Pilots · 2026
We are moving to live trading with a first group of family offices and investors this year. If you want institutional-grade investing without hiring the floor that used to require it, reach out.