The first pilots are underway: real decks, tight loops.
A transparent Monte Carlo model: $6.6k to $26k per deck.
Generate, refine and trust, built directly into PowerPoint.
Why the code went private, and what stays public.
Pilot mechanics: fast decisions, direct access, real work.
Every change diffed, every figure traced to its source.
The engine goes private, the research repos stay open.
Roughly half of the cost is revision churn.
We are actively launching pilots and are in conversations with several companies. The first cohort is deliberately built for tight feedback loops: teams that build decks every week and can decide fast, with the product aimed at finance teams of any size.
Now launching pilots
What a pitchbook actually costs
$14k
A transparent Monte Carlo model: $6.6k to $26k per sell-side pitchbook.
Closed source, open research
Why the code went private: the biggest gains now come from LLM orchestration, and most of the research stays public.
Generate. Refine. Trust.
Fully integrated, AI-native workflows for finance teams that move fast, think sharp, and close deals the competition is still building slides for.
Draft a 12-slide IC memo from @ProjectAtlas-CIM.pdf
