Average Ratings 0 Ratings
Average Ratings 6 Ratings
Description
NLWeb is a collaborative initiative by Microsoft designed to facilitate the creation of an intuitive, natural language interface for websites, utilizing any chosen model alongside proprietary data. The primary objective of NLWeb, which stands for Natural Language Web, is to provide the quickest and simplest means of transforming a website into an AI application, enabling users to interact with the site's content through natural language queries, akin to engaging with an AI assistant or Copilot. Each instance of NLWeb functions as a Model Context Protocol (MCP) server, giving websites the option to make their information discoverable and accessible to various agents and participants within the MCP framework. By leveraging semi-structured data formats such as Schema.org and RSS, which many websites already employ, NLWeb integrates these with LLM-powered tools to facilitate natural language interfaces that cater to both humans and AI agents, ultimately enhancing user interaction and engagement. This innovative approach not only streamlines the integration process but also broadens the accessibility of web content for a diverse audience.
Description
Pangeanic is a leader in AI-driven language technology, offering advanced NLP and machine translation solutions for enterprises. Its ECOChat platform delivers multilingual AI chatbots with adaptive translation capabilities. The platform automates language workflows, reduces manual effort, and accelerates content localization. Pangeanic supports integration with enterprise data formats such as TMX and CSV files. AI-powered translation models are customized using industry-specific terminology and contextual data. The company collaborates with research institutions to advance ethical and responsible AI development. Solutions include anonymization, bias detection, and data preparation for training large language models. Pangeanic serves industries ranging from government and media to automotive and technology. Strong privacy protections ensure secure handling of sensitive information. Pangeanic helps organizations scale multilingual operations efficiently and responsibly.
API Access
Has API
No
API Access
Has API
No
Integrations
Eventbrite
Yes
Inception Labs
Yes
Microsoft Copilot
Yes
Milvus
Yes
Qdrant
Yes
RSS
Yes
Schema
Yes
Shopify
Yes
Snowflake
Yes
Tripadvisor
Yes
Integrations
Eventbrite
No
Inception Labs
No
Microsoft Copilot
No
Milvus
No
Qdrant
No
RSS
No
Schema
No
Shopify
No
Snowflake
No
Tripadvisor
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
news.microsoft.com/source/features/company-news/introducing-nlweb-bringing-conversational-interfaces-directly-to-the-web/
Vendor Details
Company Name
Pangeanic
Website
www.pangeanic.com
Product Features
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
Product Features
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No