Identity Match 

Made Easy and Accurate

Our Platform

Built on advanced Machine Learning technology, our approach is more accurate than the older probabilistic and deterministic approaches.

Cerno

Cerno is the first full stack match solution to employ a 100% machine learning technology. The benefits of this approach is an implementation measure in days not months or years.

AI Steward

Cerno is the first full stack match solution to employ a 100% machine learning technology. The benefits of this approach is an implementation measure in days not months or years.

Match Toolkit

Cerno is the first full stack match solution to employ a 100% machine learning technology. The benefits of this approach is an implementation measure in days not months or years.

Our Technology

Match made simple and accurate

Why Machine Learning Is a Better Technology

As experts in match, we have experience in all 3 match technologies; deterministic, probabilistic , and machine learning and we can say that machine learning is by far the best approach to the match problem.

Why Machine Learning is a better approach than the older traditional Deterministic and Probabilistic approaches:

Goal: The number one goal to a match approach is its match accuracy.  But how data is matched is seen differently by each customer which means a custom match approach, tailored to their needs, is an absolute requirement for the best accuracy.   One-size fits all solutions will not achieve the same level of accuracy.

Our Solutions

Explore our capabilities

Data Lake

Goal to create a data lake, Multiple Sources of data within our organization, Sending all sources causes a lot of duplicate records

Analytics

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Identity Resolution

Records exist in many different sources , Not a full picture of my Patient, Customer, Account or Opportunity

GDPR/CCPA

Customer has right to understand the information you posses, Customer has the right to be “forgotten”

Our Story

Since 2007 we've specialized in record match technology and have created a machine learning approach to matching records that is more accurate than the traditional platforms. Existing platforms employ old technologies,  deterministic and probabilistic, which fall short in matching the entire data set leaving tasks, potential duplicates, suspects for humans to review manually. Through this new approach we customize the match algorithm for each client through a short learning exercise and can then make decisions on 100% of the data set.  This technology enables us to have several revolutionary solutions.