


Meaningware Email Formats
IT Services and IT Consulting • Sydney, New South Wales, Australia • 1-10 Employees
Meaningware Email Formats
Meaningware uses 2 email formats. The most common is {last name}.{first initial} (e.g., doe.j@meaningware.com.au), used 80% of the time.
| Format | Example | Percentage |
|---|---|---|
{last name}.{first initial} | doe.j@meaningware.com.au | 80% |
{first name}.{last name} | john.doe@meaningware.com.au | 20% |
Key Contact at Meaningware
Licheng Zeng
Director & Cto
Company overview
| Headquarters | 17 Mountain View Cres, West Pennant Hills, New South Wales 2125, AU |
| Website | |
| NAICS | 5415 |
| Keywords | NLP, Artificial Intelligence, Semantic Web, Regtech, Chatbot, Lawtech, Contract Intelligence |
| Founded | 2015 |
| Employees | 1-10 |
| Socials |
About Meaningware
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.
Employees by Management Level
Total employees: 1-10
Seniority
Employees
Employees by Department
Meaningware has 4 employees across 4 departments.
Departments
Number of employees
Funding Data
Meaningware has never raised funding before.
Meaningware Tech Stack
Discover the technologies and tools that power Meaningware's digital infrastructure, from frameworks to analytics platforms.
JavaScript libraries
Issue trackers
Blogs
Miscellaneous
Security
Miscellaneous
JavaScript frameworks
IaaS
CDN
Miscellaneous
Performance
Frequently asked questions
4.8
40,000 users



