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Average Ratings 0 Ratings
Description
The MODA Platform serves as an all-encompassing solution that integrates both manufacturing and lab data into a cohesive source, aimed at speeding up the release of pharmaceutical products while eliminating labor-intensive and error-prone workflows. Designed with a focus on user needs, the platform is modular and scalable, enabling organizations to initiate with a module that aligns with their immediate requirements and to expand as necessary. The primary modules include MODA-EM for Quality Control, which automates the entirety of QC processes; MODA-ES for Manufacturing, which allows for intuitive and flexible electronic batch records; and MODA eLogs for electronic documentation, which offers user-friendly digital logbooks that ensure compliance. Created specifically for the pharmaceutical sector, the platform addresses the challenges associated with traditional paper records, such as delays in approval cycles, inaccuracies in entries, and risky calculations, thus facilitating a smoother digital transformation. Furthermore, this innovative solution not only enhances efficiency but also promotes a culture of quality and compliance throughout the organization.
Description
Sarjen's AI-enabled Manufacturing Process Automation solution is designed to help manufacturers modernize their operations through intelligent automation and data-driven decision-making. By combining advanced AI capabilities with digital manufacturing workflows, the platform enables organizations to optimize production, improve process reliability, and achieve greater operational efficiency. AI continuously analyzes production data to identify patterns, detect process deviations, predict potential equipment or quality issues, and recommend timely actions that help reduce downtime and improve overall performance.The solution automates critical manufacturing activities, including batch production, weighing and dispensing, electronic batch records, equipment management, electronic logbooks, and production documentation. Replacing manual, paper-based processes with connected digital workflows improves accuracy, reduces human error, and ensures complete traceability across every stage of manufacturing. Real-time dashboards and analytics provide clear visibility into shop floor operations, allowing teams to monitor performance, make informed decisions, and respond quickly to changing production requirements.Designed to integrate seamlessly with existing enterprise systems, the platform creates a unified manufacturing environment where data flows securely across departments. Built-in compliance features, audit-ready records, and secure data management support regulatory requirements while maintaining product quality and operational consistency. By leveraging AI-powered insights and intelligent automation, manufacturers can enhance productivity, improve resource utilization, accelerate decision-making, and confidently scale their operations for the future.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$300
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
Lonza
Founded
1897
Country
Switzerland
Website
bioscience.lonza.com/lonza_bs/US/en/informatics-paperless-solutions
Vendor Details
Company Name
Sarjen Systems Pvt Ltd
Founded
1998
Country
India
Website
www.sarjen.com
Product Features
Product Features
Manufacturing Execution
Document Management
Forecasting
Quality Control
Quote Management
Resource Management
Supplier Management
Supply Chain Management
Traceability