At ZyLAB we develop innovative solutions that always go beyond what our competitors do, using new technology to seek higher levels of automation, completeness, speed and ease of use. This originates from the DNA of our founders. Today we work closely together with Universities around the world and have their researchers work in our R&D department.
And go even further in combining the various dimensions? No matter the type of case or investigation you need to ask the obvious questions: What, Why, Where, When, Who, etc.
What: Topic modeling
Who: Community detection
Where: Geo mapping
Why: Sentiment and emotion mining
When: Time lines
but also the:
What–when Topic Rivers
Who-Why Sentiment mining per person
ZyLAB Assisted Review (ZAR) – also known as Computer Assisted Review (CAR) or Predictive Coding – uses a series of algorithms to search and sort documents relevant for data investigation or eDiscovery. ZAR also utilizes machine learning.
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Based on large data sets train the machines, this way we can support automation of the best practice use cases.
In any case it isnt know which unstructured data you want to use. We will ensure we get the most out of any form of data.
eDiscovery is Global which means we need to ensure we support all relevant languages.
Based on our extensive experience we can translate the need for automation to the use of AI