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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Mescedia is a versatile Java-powered application designed for EDI integration that supports a wide array of message formats including UN/EDIFACT, CSV, XML, and Fixed-Length, employing open standards like XSLT, XQuery, and Java. It leverages established, reliable open-source frameworks and libraries, ensuring robust performance in production environments. The application provides the capability to handle customized message formats frequently utilized in EDI through various frameworks. Notably, it features content-based dynamic message routing and processing to enhance efficiency. Additionally, Mescedia integrates secure communication protocols such as OpenAS2 (AS2), OpenSSH (SFTP), vsftpd (FTPS), and nginx (HTTPS, WebDav) to ensure data integrity and security. Furthermore, it includes functionalities for transforming messages between Edifact and XML formats, covering versions D.93A to D.19B, and it offers extensive support for common EDI message formats through customization. This makes Mescedia a comprehensive solution for businesses needing reliable EDI processing capabilities.

Description

On June 23, 2025, Microsoft unveiled Mu, an innovative 330-million-parameter encoder–decoder language model specifically crafted to enhance the agent experience within Windows environments by effectively translating natural language inquiries into function calls for Settings, all processed on-device via NPUs at a remarkable speed of over 100 tokens per second while ensuring impressive accuracy. By leveraging Phi Silica optimizations, Mu’s encoder–decoder design employs a fixed-length latent representation that significantly reduces both computational demands and memory usage, achieving a 47 percent reduction in first-token latency and a decoding speed that is 4.7 times greater on Qualcomm Hexagon NPUs when compared to other decoder-only models. Additionally, the model benefits from hardware-aware tuning techniques, which include a thoughtful 2/3–1/3 split of encoder and decoder parameters, shared weights for input and output embeddings, Dual LayerNorm, rotary positional embeddings, and grouped-query attention, allowing for swift inference rates exceeding 200 tokens per second on devices such as the Surface Laptop 7, along with sub-500 ms response times for settings-related queries. This combination of features positions Mu as a groundbreaking advancement in on-device language processing capabilities.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Camel
Java
MariaDB
MySQL
PostgreSQL
SQLite

Integrations

Apache Camel
Java
MariaDB
MySQL
PostgreSQL
SQLite

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Mescedia

Website

github.com/mescedia/mescedia-core

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

blogs.windows.com/windowsexperience/2025/06/23/introducing-mu-language-model-and-how-it-enabled-the-agent-in-windows-settings/

Product Features

EDI

AS2 Applications
AS2 Specification Compliance
Archiving & Retention
Certificate Management
Configuration Data Searching
Data Format Translator
Flexible Licensing
Full Logging
Labeling

Product Features

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