Intelligent fuzzy matching to standardize company names

The challenge

Re/insurers can receive 100k+ variations in company names from their commercial partners. Standardizing them is critical for legal entity resolution, exposure management and accumulations and clash. Doing this efficiently whilst keeping domain experts in the loop to review quality is the key challenge.

How Quantemplate helps

Quantemplate’s Automap Values feature uses intelligent fuzzy matching to map thousands of entity names to reference lists containing millions of entries (such as Dun & Bradstreet or Capital IQ). You can then easily review, approve or edit the results.

Quantemplate learns from your decisions, so the more you use it, the better it gets.

Automap Values is great for Bordereaux Management, MGA Reporting or Reinsurance clash analysis, but it's not limited to company names. For example, if you’re writing Fleet Auto, use it to standardize vehicle makes and models. If you’re underwriting Commercial Property, use it for mapping addresses to occupancy and construction codes. Check out our Help Centre for some examples.

We’d love to show you more. To see Quantemplate in action, or explore use cases for your business, just fill out the form on this page and hit submit.

Get a demo

Please add at least 2 characters.
Please add at least 2 characters.
Please add a company.
Please add at least 2 characters.
Thank you for your enquiry.
We’ll be in touch soon.
Oops! Something went wrong while submitting the form.
New York

Quantemplate is headquartered in the USA, with US operations run from New York City.

Speak to our US team


Quantemplate has roots in the London Market and our UK team serves clients across Europe.

Speak to our EMEA team

Leading insurance companies use Quantemplate.