Clean your pipeline. Match, dedupe and resolve messy account lists, with no data leaving your machine.
ProxiMatch is one resolution engine that does three things to your data, and it runs on the server, so a full file finishes in minutes, not an hour.
Resolve your list against another and find every true pair, even with messy names, typos, and formatting drift. Then merge each match into one clean golden record.
Clean a single list: dedupe, standardize addresses, and flag stale rows. Runs on its own or automatically inside Match. It can also merge each duplicate cluster into one surviving golden record.
Enrich your list with authoritative public fields like geocode, NAICS, and specialty, appended from public and federal sources.
Free to try. Upload your whole file, we process all of it, and you see your first 500 matches free. Five lifetime unlocks, live countdown. The match rate does the selling.
A six-algorithm stack scores each candidate and drops it into one of five tiers, from auto-accepted to needs review. You decide the edge cases, ProxiMatch handles the obvious ones.
Browser-first
Damerau-Levenshtein, Jaro-Winkler, N-Gram cosine, Soundex, Soft-TFIDF, and UID matching combine into one confidence score per pair, all in your browser.
Six-algorithm stack
Sales ops and back-office teams constantly pull and compare lists: a CRM export against a master account file, a new lead batch against existing customers, two regional books that overlap. The data never lines up. Names are spelled three ways, addresses are half-filled, the same company shows up as five records.
Generic dedup tools either choke on the volume or flag everything as a maybe. ProxiMatch is built for the sales ops list-matching job specifically: it resolves entities with real probabilistic scoring, not a single fuzzy-match slider.
Everyday files run entirely in your browser, so your data stays on your machine. Very large lists (25,000+ rows) upload to our private server so the browser is not tied up. Either way, the list is only ever yours.
You have a list nobody trusts and a deadline. Here is the whole cleanup in five moves, Match, Verify, and Forge working as one engine on the server.
Upload the file you actually have: the GPO export, the CRM dump, the spreadsheet three people edited. Duplicates, typos, and formatting drift and all. It runs server-side, so a full file finishes in minutes, not an hour.
ProxiMatch resolves your list against another and finds every true pair, even when the names do not look alike. Six algorithms and term-frequency scoring separate a real match from a lucky coincidence, each with a confidence tier you can see.
Run Verify to clean a list on its own: dedupe, standardize addresses, flag the stale rows, and merge each duplicate cluster into one surviving record. It runs by itself or automatically inside a match.
Forge appends what your list is missing: geocode, NAICS, specialty, and more, joined to each record from public data, so the file is ready to map, segment, and route, not just deduplicated.
Take the clean, CRM-ready file out with a match-weight breakdown behind every pair, so you can show exactly why two records were called the same. No black box.
One engine, three jobs, one clean file. Priced flat, so a bad data day never costs you a per-record fee.
Browser-first, private by default.
Everyday files process right in your browser, so nothing leaves your machine. Very large lists (25,000+ rows) run on our private server so your tab is not tied up. The list you match is the list only you ever see.
ProxiMatch plugs into the same proximity engine that powers every product line in ProxiSuite. Here are the others:
Offline HTML territory and account tools. View ProxiField
Healthcare territory intelligence on live federal data. View ProxiMed
Education territory intelligence, K-12 through colleges and the districts that run them. View ProxiSchool
$49/month, billed monthly. Subscriptions open when checkout goes live. Want to be first in line?Pricing will be announced at launch. Want to be first in line?
Start freeEveryday files are processed right in your browser and never leave your machine. Very large lists (25,000+ rows) upload to our private server to run.
It uses MinHash LSH blocking to avoid comparing every record against every other, so it scales to tens of thousands of rows. Very large files (25,000+ rows) run on our private server automatically, so they finish without tying up your browser.
A reviewed, CRM-ready CSV that maps each resolved match back to your original record IDs, with a confidence tier on every pair.