EXAMPLE REQUEST
DATA NEED / 001
OPEN
- TEAM
- CREDIT MODEL
- USE
- INTERNAL ONLY
- RECORDS
- TO BE DEFINED
- TIME SPAN
- TO BE DEFINED
- FORMAT
- DE-IDENTIFIED
- TERMS
- IN WRITING
Operating Data · Partnerships · De-identified
Real operating history. For models that need it.
Triple M has direct relationships with the owners of large, decade-old merchant cash advance and home warranty companies with long, detailed operating histories. We work with AI, credit and analytics teams to learn what outside data would genuinely help, then with those owners on whether and how it can be provided.
BUILT FOR
CREDIT MODELS•
FRAUD & DOCUMENT AI•
COLLECTIONS AI•
CLAIMS MODELS•
AI LABS•
CREDIT MODELS•
FRAUD & DOCUMENT AI•
01 / POSITION
The operating idea
Not a data dump.
Records matched to a real need.
Most data offers start with what someone has. We start with what your team is trying to build, then find out what long-running operators actually hold and what they will allow.
Nothing about the data is fixed in advance, and nothing moves until the owners approve it, the legal path is clear and personal details are removed.
The need.
- The model or product
- Record types and fields
- Time span and rough volume
- How it would be used
A qualified data path.
- What exists and how far back
- What the owners will allow
- De-identification and legal path
- Written terms before any sample
02 / RECORDS
What these businesses generate
Years of operating records behind every funding and every repair.
Typical of these industries. What exists, how far back and what can be shared is confirmed business by business.
TYPICAL RECORDS
Funding applications and documents, bank-statement and cash-flow analysis, underwriting decisions, funding agreements, payment, servicing and collections histories.
USEFUL FOR
Cash-flow underwriting, fraud and document models, servicing and collections AI.
TYPICAL RECORDS
Service contracts, claims and claim outcomes, repair and service records, contractor dispatch and invoices, customer service interactions.
USEFUL FOR
Property, repair-cost and claims models; home-services and contact-center AI.
NEVER
Selling lead lists or contact data, or releasing names, account numbers or contact details.
ALWAYS
Owner approval, legal review and de-identification before any sample, and terms agreed in writing.
03 / PROCESS
Permissions first, then data
One need. Six control points.
Pricing, samples, rights and every delivery stay human-approved and in writing.
- 01
Receive
The model, use case, record types, time span and rough volume.
- 02
Qualify
Internal use, fit, and whether outside data genuinely helps.
- 03
Check
Owners confirm what exists, how far back and in what form.
- 04
Permit
Owner approval and legal review of what can be shared.
- 05
Protect
Names, account and contact details removed; sample scope agreed.
- 06
Deliver
Written terms first, then the sample and delivery.
04 / START
No dataset spec needed
Tell us what your team needs.
A few lines are enough. We reply by email with what we can check and the questions we would take to the owners.
WHAT HELPS
- What you are building or evaluating.
- The records or fields that are hard to get.
- Rough time span and volume, if you know them.