Meaningware

Technology Consulting/Tech Services - West Pennant Hills, NSW, AU

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David Whitehead

Sustainability Innovation Consultant

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Rodney Redcliffe

Artificial Intelligence Business Analyst

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Meaningware Details

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.

Meaningware logo, Meaningware contact details
Employees: 5 - 9
HQ: N/A
Location: West Pennant Hills, NSW, AU
Revenue: Not Available
Information Technology and Services
Meaningware Technologies
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Meaningware is an innovative technology consulting firm based in West Pennant Hills, Australia. The company has developed a cutting-edge platform called DeepNotes LinkedPrivacy, which utilizes deep learning and natural language processing to identify, classify, and extract personal and confidential information in various types of digital content. This platform enables organizations to monitor and manage privacy information in their data assets, ensuring compliance with regulations and improving operational efficiency in customer onboarding and other business workflows. DeepNotes LinkedPrivacy is capable of analyzing a wide range of structured and unstructured data, including database tables, identity proof documents, diagrams, facial images, and voices. The platform aggregates and links discovered privacy information, providing a comprehensive view of privacy in corporate data assets. Additionally, it supports advanced analytics such as risk analysis and recommendations, enabling organizations to make informed decisions about their data management practices. With its robust features and capabilities, DeepNotes LinkedPrivacy is an invaluable tool for businesses looking to protect sensitive information and maintain regulatory compliance.

Meaningware is a company that creates technology to help organizations protect private information. They have developed a platform called DeepNotes LinkedPrivacy that uses artificial intelligence to find and organize private information in different types of digital data. This platform can analyze large amounts of data, including images, texts, and voices, to identify and classify private information. It then brings all the information together to give a clear view of privacy in the organization's digital assets. This helps organizations follow privacy laws and protect sensitive information. DeepNotes LinkedPrivacy can do several things to help organizations manage private information. It can: 1. Classify and organize private information in digital data, both when it's being sent and when it's stored. This helps organizations follow privacy laws and protect sensitive information. 2. Analyze large amounts of data in data lake systems quickly and accurately, adding information to make it easier to manage data. 3. Automatically collect customer information from digital data, making it easier and more efficient to verify customer identity and complete other business tasks.

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