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Ratings and Reviews 0 Ratings
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Macaw AMSMacaw AMS serves as a robust platform for selling insurance, utilized by brokers, MGAs, MGUs, Program Managers, and Lloyds Coverholders to streamline their business processes effectively. Designed with a focus on customer needs, it encompasses functionalities for CRM, Sales, and Underwriting, providing customers, producers, and service providers with access to user-friendly self-service portals. Additionally, Macaw AMS includes integrated Document Management and Task Management features, along with adaptors for seamless services such as eSignature, Payments, OFAC checks, and Mass Emailing, utilizing third-party solutions. The data analytics capabilities of Macaw AMS deliver advanced data visualization through predefined dashboards, enabling users to upload datasets and explore dynamic charts that offer insightful, multi-dimensional perspectives. With interactive, real-time visualizations, users can identify trends and derive insights that promote well-informed decision-making. Hosted on a secure cloud infrastructure, Macaw AMS is built on a relational database, with its primary Java-based components crafted in Java, allowing for efficient processing of 500-1000 policies daily at peak performance. As a notable benefit, Macaw AMS aims to decrease the per-policy costs by 30%, making it an attractive choice for insurance professionals looking to optimize operations. Ultimately, its comprehensive features and cost-saving potential position Macaw AMS as a transformative solution in the insurance industry.
What is Sapio Scientific Data Cloud?
The Sapio Scientific Data Cloud represents a cutting-edge platform for managing scientific data, effectively bringing together and contextualizing information from laboratories, assay results, instrument outputs, archives, and external records such as ELN and LIMS into a unified, user-friendly interface that does not require any coding expertise. This advanced system supports automated data collection and analysis from over 200 instrument adaptors, utilizes semantic search capabilities based on ontological frameworks, and incorporates integrated charting alongside advanced neural-network analyses, including ANOVA, best-response curves, and flow-cytometry gating techniques. In addition to providing AI-generated insights that significantly boost research productivity, the platform ensures the safeguarding of sensitive data through secure, role-based access and thorough archiving methods. It also features interactive viewers for proteins, molecules, plasmids, and extensive system-wide analyses to help scientists better explore their research findings. The seamless collaboration with Sapio LIMS and ELN systems guarantees that all data is automatically associated with pertinent samples, experiments, and entities, thereby optimizing research workflows. Consequently, the Sapio Scientific Data Cloud emerges as an indispensable asset for contemporary laboratories striving for efficiency and precision in their scientific endeavors. This comprehensive suite of tools not only enhances data handling but also drives innovation in the research landscape.
What is Logilab SDMS?
Logilab SDMS stands out as a trusted and established Scientific Data Management System capable of capturing data from any analytical instrument, regardless of type, make, or manufacturer, thus proving to be an adaptable asset for scientific research and experimentation.
This robust system facilitates the secure capture and archiving of both instrument data and metadata on a dedicated server, creating a centralized repository that serves as the definitive source for all scientific data.
Specifically designed for the efficient capture, cataloging, and archiving of raw instrument data and files along with their metadata, Logilab SDMS employs a tagging system that allows for systematic indexing into catalogs, promoting long-term preservation and ensuring scientific data is accessible whenever required.
Moreover, laboratories utilizing Logilab SDMS can approach audits with confidence, knowing that their scientific data is not only organized and archived but also readily available for thorough examination.
By streamlining data management processes, Logilab SDMS ultimately enhances the overall efficiency and reliability of scientific research efforts.
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Sapio Sciences
Date Founded
2004
Company Location
United States
Company Website
www.sapiosciences.com/products/sdms-scientific-data-cloud/
Company Facts
Organization Name
Agaram Technologies
Date Founded
1998
Company Location
Chennai, India
Company Website
www.agaramtech.com
Categories and Features
Scientific Data Management System (SDMS)
Analytics
Artificial Intelligence (AI)
Audit
Centralized Data Repository
Collaboration
Compliance
Data Security
ELN Integration
LIMS Integration
Workflows
Categories and Features
Scientific Data Management System (SDMS)
Analytics
Artificial Intelligence (AI)
Audit
Centralized Data Repository
Collaboration
Compliance
Data Security
ELN Integration
LIMS Integration
Workflows