A New York long/short equity fund replaced off-the-shelf research tooling with an AI system built around its own investment process. Coverage expanded, time-to-signal collapsed, and the edge lives inside the firm rather than inside a vendor dashboard.
A small analyst team was covering a universe too wide to read every transcript, filing, and alternative data feed the PM wanted in the investment process. Headcount was not the answer, and another licensed platform was not either.
Off-the-shelf research tools surfaced the same signals every competing fund already had. Any edge decayed the moment the tool was on the market, and the firm was paying for a read-out of the crowd rather than for a view of its own.
Everlake embedded with the PM and analysts to map where custom AI could create proprietary signal the fund owned outright. The work started inside the investment process, not around it, and every decision was calibrated to how the team actually generates conviction.
We shipped a custom research agent tuned to the PM's process, trained on the firm's internal notes and historical theses. The agent reads earnings calls, filings, and alternative data on publication, flags thesis-breakers and confirmations against live positions, and routes high-conviction items to the PM before the open. A second finetuned model handles the firm's internal summarization format so outputs match how the team already works.
Expanded coverage with the same analyst headcount, driven by agents reading every transcript, filing, and alt-data feed the PM wants in the process.
Time from event to PM-ready summary cut from hours to minutes, with thesis-breakers and confirmations routed before the open.
Proprietary research asset owned by the fund outright, not rented from a vendor and not licensed to the rest of the street.
"Everlake built a relationship with us and became part of the formula for how we create alpha. They brought frontier AI knowledge backed by years of doing this at top labs, and the work shows up in our process, not in a dashboard we rent."