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What is Naix?

Naix is a cutting-edge AI-driven tool designed for the anonymization and redaction of documents, efficiently removing personally identifiable information with speed, accuracy, and security. Employing sophisticated methods such as machine learning, natural language processing, and linguistic modeling, Naix can effectively detect a variety of sensitive data types, including company names, legal documents, personal identities, geographical locations, email addresses, URLs, dates, identification numbers, images, and financial information. This adaptable tool works across multiple file formats, such as PDFs, Word and Excel files, emails, scanned documents, and images, and supports various languages, notably English, German, and French. By simplifying much of the anonymization workflow, Naix also allows users to manually redact specific information when necessary, providing flexibility for unique cases. Furthermore, it enables the application of predefined pseudonyms, ensuring context is preserved even when full anonymization is not possible. The intuitive interface of Naix guides users effortlessly from uploading their documents to reviewing the results and generating a secure output file, thus facilitating an efficient process throughout. In summary, Naix serves as a robust solution for organizations aiming to safeguard sensitive data while upholding their operational standards and integrity, making it a valuable asset in today's data-driven environment.

What is DocuBiz?

DocuBiz is a pioneering start-up dedicated to revolutionizing the accessibility of legal data pertaining to French companies. Utilizing the French government's commitment to OPEN DATA, we have forged partnerships with various French institutions to collect, structure, and deliver legal information from over 20 million companies in the country. In a remarkably short time, we have attracted nearly 500,000 monthly visitors, with close to 50,000 downloads of documents, such as statutes and financial statements, reinforcing DocuBiz's emerging role as a significant entity in the French legal landscape. A Kbis extract offers a thorough overview of a company, validated by a clerk, detailing the registration office's name, the company's name, acronym, and sign, along with its identification number (SIREN) and NAF code (formerly APE). Furthermore, it specifies the business's legal structure, total share capital, the address of the registered office, and the locations of any additional establishments operating within the EU. By effectively bridging the divide between intricate legal data and user-friendly access, DocuBiz is strategically positioned to serve as an invaluable resource for both businesses and individuals. Our commitment to transparency and accessibility ensures that users can navigate the complexities of legal information with ease.

Media

Media

Integrations Supported

Microsoft Excel
Microsoft Word

Integrations Supported

Microsoft Excel
Microsoft Word

API Availability

Has API

API Availability

Has API

Pricing Information

€75 per month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Naix

Date Founded

2018

Company Location

Germany

Company Website

naix.ai/

Company Facts

Organization Name

DocuBiz

Date Founded

2021

Company Location

France

Company Website

docubiz.fr

Categories and Features

Categories and Features

B2B Data

B2B Contact Data
B2B Intent Data
B2B Leads Data
B2B Marketing Data
Business Ownership Data
Company Data
Employee Data
Firmographic Data
Job Posting Data
Salary Data
Technographic Data

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