Meaningware is an Australia-based AI startup that develops a technical platform, called DeepNotes LinkedPrivacy,  to discover privacy information in digital contents.  Leveraging the latest in Deep Learning (DL) and Natural Language Processing (NLP), DeepNotes Linked Privacy is capable of analysing a large variety of structured and unstructured data such as database tables, scanned identity proof documents, diagrams, facial images and voices etc to identify, classify and extract personal and confidential information in the contents. The discovered privacy information is aggregated and linked, providing a global visibility of privacy in corporate data assets while supporting advanced analytics such as risk analysis and recommendations.
DeepNotes LinkedPrivacy is a platform for monitoring privacy information and mapping out the privacy landscape in an organization’s digitized contents.  Organizations can leverage DeepNotes LinkedPrivacy to 
- Classify and index privacy information in digital contents both in transit and at rest, enabling regulation compliance solutions to privacy information protection.
- Classify and discover privacy information in data lake systems with the scalability and speed that human classifiers are incapable of, enriching metadata to support automated data governance solutions.
- Automate capturing of customer details from digital contents, thus greatly improving operational efficiency in KYC solutions and other business specific workflow.

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