Operator-led ventures and AI advisory

Rain Ventures converts messy commercial workflows into AI ventures

Rain Ventures turns original research, live operations, and shared go-to-market infrastructure into focused Fintech, Web3, and B2B ventures

Explore the record Compare notes
Unfair advantage
01
Original market maps
Structured research into where a workflow breaks before any product exists.
02
Live demand tests
Real messages, real replies, measured before a line of code ships.
03
Enterprise AI work
Prototypes shipped inside procurement and risk review at large institutions.
Selected portfolio
SheerDemand TESTING

Builds local lead flows with tracked quote requests and qualified-lead economics.

sheerdemand.com View record
DocVids TESTING

Converts product knowledge into onboarding that shortens time-to-value and reduces churn.

docvids.com View record
Operating model
01
Map
Find the gap and the buyer before assuming either exists.
02
Operate
Run the workflow by hand. No software until the workflow is proven by hand.
03
Measure
Test demand and economics against the mapped set, not a hypothesis.
04
Build
Productize only the parts the evidence supports.
About

I am Paul, Founder of Rain Ventures, and operating between New York and Singapore. Rain Ventures builds and runs operator-led AI ventures that close revenue leakage. It takes over the workflow where customers get lost, runs it until the economics are proven, then turns it into a system.

Rain Ventures has advised innovation teams at Crypto.com, Standard Chartered, P&G, eBay, and PR Newswire on building and shipping AI prototypes. That work happens inside procurement, risk, and legacy-system constraints no startup has to clear.

For operators, researchers, and capital partners working on similar problems

Compare notes