Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
LXTXR Production serves as a comprehensive platform for enhancing predictive optimization and automation in the automotive sector and among Tier1 suppliers. The suite is designed to facilitate various applications, including predictive production, maintenance, scheduling, and overall equipment effectiveness (OEE) optimization. It allows for the integration and analysis of both manufacturing and maintenance data, ensuring a thorough understanding of operational metrics. LXTXR Production adeptly processes both structured measurements and unstructured information, such as maintenance reports, to deliver insights. With the capability to comprehend over one million language items, LXTXR offers language models tailored for numerous industry verticals, focusing on contextual understanding to yield optimal outcomes even when handling diverse and variable data sets. Additionally, LXTXR uVantage enables intelligence-driven scenarios, such as forecasting sales and demand as well as identifying fraudulent activities. To enhance these intelligence applications, external alternative data is often necessary to augment a corporation's internal datasets, highlighting the importance of a holistic approach to data integration and analysis. By leveraging these capabilities, LXTXR Production empowers organizations to improve operational efficiency and make informed decisions.
Description
Introducing a user-friendly interface that retains robust machine learning capabilities, Servient swiftly hones in on critical evidence to derive insights for automating legal applications. It offers comprehensive functionality from data upload to production, effectively optimizing the eDiscovery workflow. With self-service ingestion and integrated active machine learning, Servient accelerates the eDiscovery experience. This platform merges natural language processing with sophisticated machine learning techniques, granting unparalleled flexibility and power for legal automation. Designed to operate in the cloud, it takes advantage of scalable resources, improved security measures, and cost efficiency. Depart from outdated "lift and shift" legacy systems by retaining control over your data ingestion process, all while receiving the necessary support. Servient encompasses all essential eDiscovery functionalities within a unified solution, ensuring that advanced data science is seamlessly incorporated into an easy-to-navigate interface. This innovative approach not only enhances efficiency but also empowers users to manage their legal data with confidence.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
LexaTexer
Founded
2017
Country
Germany
Website
www.lexatexer.com
Vendor Details
Company Name
Servient
Founded
2013
Country
United States
Website
www.servient.com
Product Features
eDiscovery
Case Analytics
No
Compliance Management
No
Discussion Threads
No
Document Indexing
No
Document Tracking
No
Full Text Extraction
No
Keyword Search
No
Metadata Extraction
No
Topic Clustering
No
Product Features
eDiscovery
Case Analytics
Yes
Compliance Management
Yes
Discussion Threads
Yes
Document Indexing
Yes
Document Tracking
Yes
Full Text Extraction
Yes
Keyword Search
Yes
Metadata Extraction
Yes
Topic Clustering
Yes