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Machine Learning

Do More With AI Powered Document Classification

Adlib has developed a new multifaceted approach to classifying unstructured and semi-structured content and extracting data from that content. This new approach leverages several recent innovations in AI, ML and computer vision that enable the platform to solve unique content problems—all without customization, coding or expensive, lengthy projects.

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Fuel Worflows

Easily Organize, Prioritize and Leverage Data Across the Enterprise

Identifying, classifying, categorizing, and separating different document types is a human labor-intensive process. Imagine the possibility of software being able to do this for you and do it with a higher level of precision. Our intelligent document classification solution can provide this for many different document types.

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Go Beyond Progressive Document Classification 

Ninety percent of enterprise data is typically unstructured, unmanaged, and spread across repositories and file shares—leaving many organizations scrambling to keep up with everyday processes vs. harnessing the full strategic value of their data. Before extraction and deeper analysis can occur, the documents must be identified, analyzed, and classified. For enterprises saddled with vast volumes of data, however, legacy and semi-automated methods of classification are not fit for the task at hand.

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Get Clarity with Progressive Classification 

Leverage unsupervised machine learning for document clustering and semi-supervised rule building to define a document training set to be leveraged in the automated document classification of a larger document collection. Companies can easily organize, prioritize, and leverage the data that exists across the enterprise.

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Global Language Recognition

Enjoy support for over 115+  languages including Japanese, Korean, and simplified/traditional Chinese — ensuring the highest accuracy and global reach.

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Extract Intelligence  from Unstructured Data

Using advanced document conversion , clustering, and rules-based classifiers, Adlib’s Intelligent Classification allows enterprises to outperform their peers.

Chief Risk Officer
Automatically process massive volumes of unstructured data—creating actionable insights and revealing hidden value and risk.
Chief Legal Counsel
Eliminate the cost, risk, and inconsistency of manually processing rapidly growing volumes and varieties of documents and data.
Mitigate risk by identifying classified documents and applying appropriate security measures or redacting confidential information.
Business Leaders
Group or cluster similar documents to enable targeted extraction of key data elements that can be added as metadata, validated against other systems, etc.
Identify sensitive or pertinent data to manage compliance risk effectively (e.g. identify PII) or accelerate business decisions (e.g. process claims faster).
Chief Technology Officer
Leverage a flexible and configurable system that learns and adapts as your business needs evolve.
Chief Compliance Officer
Take documents from multiple lines of business, remove the ROT, and ensure that valuable assets (contracts, agreements, reports, and regulatory submissions) are grouped, enhanced, and easily searchable.