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What is Pangeanic?

Pangeanic is an enterprise AI company focused on natural language processing and multilingual automation. It provides AI translation, data anonymization, and language intelligence solutions through its ECOChat platform. ECOChat is a multilingual AI assistant designed to streamline communication and content processing across languages. The platform integrates adaptive AI translation with structured data formats such as TMX and CSV. Pangeanic’s technology supports large-scale content localization and real-time translation workflows. Customized AI models ensure accuracy by aligning translations with domain-specific terminology and brand voice. The company collaborates with leading research institutions to improve LLM performance through ethical data practices. Pangeanic supports RLHF, bias detection, and high-quality dataset creation. Strong privacy safeguards enable secure processing for government and enterprise use. Solutions comply with GDPR and global data protection standards. Pangeanic serves global clients across media, automotive, public sector, and technology industries. Its platform helps organizations unlock value from multilingual data while maintaining trust and compliance.

What is Language Weaver?

SDL Machine Translation and Iconic Translation Machines have teamed up to develop a groundbreaking and adaptable neural machine translation platform called Language Weaver. Our enterprise machine translation solutions are specifically designed to meet your unique content needs, facilitating effective communication across different languages. Language Weaver enriches your analytics by incorporating a global perspective, which significantly improves your capacity to manage multilingual content with ease. It integrates smoothly with content intelligence applications, thereby minimizing the effort required for translation tasks. Language barriers can often obstruct clear communication with both internal teams and external collaborators. By utilizing Language Weaver, you can enhance collaboration among various teams, increase overall productivity, and expedite your entry into international markets. Although dealing with multilingual data for cross-border legal issues and regulatory requirements might not be part of your everyday routine, being proactive in these areas is crucial for your organization's success. Furthermore, employing Language Weaver equips you with the tools needed to tackle intricate language obstacles with confidence, ultimately enhancing your operational efficiency and market adaptability.

Media

Media

Integrations Supported

Adobe Acrobat
Google Chrome
Microsoft 365
Microsoft PowerPoint
Microsoft Word
Mozilla Firefox
Nekton.ai
Salesforce
Trados Studio

Integrations Supported

Adobe Acrobat
Google Chrome
Microsoft 365
Microsoft PowerPoint
Microsoft Word
Mozilla Firefox
Nekton.ai
Salesforce
Trados Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

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

Pangeanic

Company Website

www.pangeanic.com

Company Facts

Organization Name

RWS Group

Date Founded

1958

Company Location

United Kingdom

Company Website

www.rws.com/language-weaver/

Categories and Features

Natural Language Processing

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

Categories and Features

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