Your exposure
is only as good
as your data
ReMatch cleans and matches messy reinsurance entities using AI and six intelligent matching methods, so the numbers you rely on are the numbers you can trust
Name Matching
Matching method
Confidence threshold
≥ 92%Click Run name matching to generate results
You can't manage what you can't see
Reinsurance professionals waste countless hours manually reconciling inconsistent entity names while the risks they're missing keep accumulating
Variations Of The Same Entity
The same counterparty shows up under a dozen spellings across files — impossible to reconcile by eye.
Hidden Exposures
Inaccurate matching compromises data integrity, hiding true exposures and inflating operational risk.
The Time Drain
Teams spend hours reconciling the same entities across systems — by hand.
Fragmented Data Landscape
Inconsistent naming stops systems from talking to each other, destroying portfolio aggregation.
The ReMatch solution
A purpose-built platform designed to automate and optimize reinsurance entity matching
Multi-Method Matching Engine
6 algorithms for unparalleled accuracy — Exact, Fuzzy, Soundex, Jaro-Winkler, Levenshtein & AI Match.
AI-Powered Learning
Continuously improves based on your specific data patterns.
Adjustable Match Thresholds
Fine-tune confidence levels to suit your risk appetite.
Built For Scale
50,000 records matched in seconds. Other tools take 5–10 minutes.
How it works
Accuracy beyond traditional matching approaches
Upload Data
Ingest messy bordereaux or spreadsheet data. Drop in XLSX or CSV files and ReMatch parses them in seconds — no integration required.
Drop bordereaux files
XLSX, CSV — up to 50,000 rows
Apply 6 Methods
Our engine runs Exact, Fuzzy, Soundex, Jaro-Winkler, Levenshtein and AI Match simultaneously, so nothing slips through the cracks.
AI Scoring
Every candidate pair is assigned a confidence level by our language models, colour-coded so you instantly see what's solid and what needs a look.
Review Results
Bulk-approve high-confidence matches and triage edge cases in one view, then export clean, reconciled entities back to your workflow.
Munich Re UK
Confidence 98%
MRG LTD
Confidence 91%
Swiss Re Intl
Confidence 74%
Why ReMatch is different
Generic matching tools fail on reinsurance data. We built a specialised engine that understands the context of your industry
Now
Soon
ReMatch vs legacy tools
Pricing
Easy to start, scalable later
Subscription
For teams ready to scale
- Annual-usage based pricing
- Lower effective rate per search
- Agreed credit
- 20% upfront discount
Proven where it matters most
Tested and validated in a global insurance setting
“Significantly more effective than spreadsheet-based matching approaches”
Chief Underwriting Officer·Global insurance organisation
Ready to clean your data?
Get a live walkthrough of how ReMatch improves accuracy, speed, and confidence across your workflow
Book a Demo