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Reach the members your team never gets to.

Rainmaker runs personalized outbound member campaigns straight off your Nook Data Model — from each member’s real data, with no lists to upload. It verifies the member, makes an offer built from their data, and books the interested ones straight to your team.

Already on the Nook Data Model? The hard part’s done — Rainmaker runs right on top of it.

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1

Target

Reads your Nook Data Model to find who the campaign should reach, by product gap or rate. No lists to upload.

2

Call

Makes personalized outbound calls grounded in each member’s real data. Consent, AI disclosure, calling-window rules, and recording enforced on every call.

3

Hand off

Books interested members for your team. Every call logged and reason-coded.

A live Rainmaker call

One outbound call, start to finish — right-party verification, an offer built from the member’s live data, and a booked appointment. Sample data; no live member information is used.

Built for the questions your risk team will ask

Where the data comes from, what the agent is allowed to say, and what you keep afterwards.

Your Nook Data Model
Member profile
Products held
Rates
Account activity
Read in place. Nothing exported.

Runs on data you already trust

Rainmaker reads directly from your Nook Data Model. No new core integration, no list exports, no member data copied into spreadsheets.

Moneylab Genius · your rules
Rainmaker call
  • Approved products and rates only
  • Disclosures before the offer
  • Not sure? Hand off to your team

Every call stays inside your rules

Moneylab Genius governs each conversation: offers come only from your approved products and rates, required disclosures are checked before the offer, and when the agent isn’t sure, it hands off to your team instead of guessing.

Call record
RecordingSaved
TranscriptSaved
OutcomeBooked
Reason codeInterested
Ready for compliance review.

A record of every call

Recording, transcript, outcome, and reason code for each call, ready for compliance review.

Who's behind Moneylab Technologies

Our mission is to give every credit union access to AI that is accurate, explainable, and affordable.

Vincent Wong

Vincent Wong

CEO & Founder

Entrepreneur and senior executive with 30 years experience building and running technology companies serving Fortune 500 clients. MSc, London School of Economics.

Mark Dostie

Mark Dostie

Chief Technology Officer

35+ years in software engineering and AI, including multiple CTO roles. Holds patents in large language model architecture and predictive text technologies.

How many members is your team not reaching?

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