What is Pangeanic?

Pangeanic distinguishes itself as the first deep adaptive machine translation system, attaining an impressive 90% accuracy comparable to human translators, while also facilitating autonomous publishing and automatic document classification, alongside a robust NLP ecosystem that encompasses anonymization, summarization, eDiscovery, named-entity recognition, and data provision for AI uses. Serving a wide array of clients, Pangeanic caters to cross-national institutions, international organizations, prestigious multinational companies, government bodies, and various language service providers on a global scale. Our dedication to delivering top-notch quality is intricately woven into our service philosophy, supported by state-of-the-art software solutions and superior language quality assurance technologies. This comprehensive offering is thoughtfully crafted to boost efficiency and reduce localization and translation costs across all languages, ensuring that clients get the utmost value for their financial commitments. By harnessing cutting-edge technologies, Pangeanic is not only enhancing the language service industry but also setting new benchmarks for excellence in a world that is becoming ever more interconnected. As we continue to innovate, our focus remains on providing solutions that empower businesses to thrive in a multilingual environment.

Integrations

No integrations listed.

Screenshots and Video

Pangeanic Screenshot 1

Company Facts

Company Name:
Pangeanic
Company Website:
www.pangeanic.com

Product Details

Deployment
SaaS

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Pangeanic Categories and Features

Natural Language Processing Software

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization