hear the operator voice before you buy
operators matching buyers/sellers, datasets, leads, or scarce supply without exposing private lists first
This is what the Match Proof Report looks like — synthetic data, real format. No request needed.
Scenario: Meridian Analytics (B2B SaaS, 2,400 customers) wants to validate Cascade Enterprise Software partnership overlap without exposing its customer list. 10 records per side, synthetic.
| Match Pair | Confidence | Basis |
|---|---|---|
| M-003 ↔ C-003 | 0.97 ✅ | Name, domain, size, industry align |
| M-008 ↔ C-007 | 0.94 ✅ | Domain + size band match |
| M-001 ↔ C-009 | 0.88 ✅ | Domain + industry match |
| M-002 ↔ C-002 | 0.86 ✅ | Industry + size band match |
| M-005 ↔ C-006 | 0.85 ✅ | Size band + industry match |
| M-006 ↔ C-005 | 0.85 ✅ | Domain hash + size + Enterprise tier |
| M-006 ↔ C-010 | 0.91 ⚠️ | Dual match — legal review required |
✅ Match Certificate Issued
Overlap: 6 of 10 Meridian accounts (60%) have Cascade presence · Overlap: 6 of 10 Cascade accounts (60%) have Meridian usage · Consent confirmed by both parties · 1 dual-match flagged for legal review
Full sample includes: segment overlap matrix, consent compliance checklist, risk flags, and next-steps brief. Synthetic data only — no real PII.
Send an email with: (1) your buyer segment fit, (2) what failure mode or workflow you want analyzed, (3) what sanitized inputs you can provide. The Owner replies within 1-2 business days with a fixed quote inside the price band, scope confirmation, and required inputs list. No checkout, no auto-payment, no contract until both sides agree.
A working proof-of-concept for consent-gated data collaboration between two parties — demonstrating that meaningful matching is possible without sharing raw PII. Delivered as a runnable demo with full documentation.
The architecture enforces consent verification at every data access point. No matching occurs without verified consent signals from both parties. The proof demonstrates this formally.
Product managers, data platform leads, or compliance teams at companies exploring data collaborations, B2B2C matching, or privacy-preserving analytics. Particularly relevant post-GDPR, CCPA, and with emerging US state privacy laws.
A functional demo with two mock parties, consent verification layer, matching logic, and results output — plus a technical spec showing how to extend it to production. Runs in a sandbox environment you control.
Standard delivery is 5–7 business days. Enterprise environments with existing data infrastructure may require a second sprint phase.