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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
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