Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Sapio Scientific Data Cloud is an innovative scientific data management platform that intelligently consolidates and contextualizes laboratory data, assay outcomes, instrument outputs, archives, and external ELN/LIMS records into a cohesive, searchable interface that requires no programming skills. This system facilitates automated data acquisition and interpretation from more than 200 instrument adaptors, employs semantic search capabilities driven by ontological frameworks, and features integrated charting along with sophisticated neural-network analytics such as ANOVA, best-response curves, and flow-cytometry gating. Furthermore, it delivers AI-generated insights to enhance research efficiency. To ensure the protection of sensitive information, it offers secure, role-based access and comprehensive data archiving solutions, while providing interactive viewers for proteins, molecules, plasmids, and system-wide analyses that empower scientists to delve into their findings. Additionally, the seamless integration with Sapio LIMS and ELN systems ensures that data is automatically linked with relevant samples, experiments, and entities for streamlined research workflows. This powerful combination of features makes the Sapio Scientific Data Cloud an essential tool for modern laboratories.
Description
eMite serves as a comprehensive operational intelligence platform that integrates sophisticated analytics, data correlation, KPI management, and threshold alerting into a single, ready-to-use solution accessible via a web browser, facilitating actionable insights from both current and archival data. The platform boasts a highly adaptable and robust ETL (extract, transform, load) framework, utilizing various technologies such as APIs, XML, JSON, and SQL for effective data extraction. With over 80 pre-built adaptors, eMite seamlessly integrates data from popular third-party applications provided by companies like Salesforce, Microsoft, Oracle, Atlassian, Snare, and Genesys. Additionally, it accommodates data onboarding from more generic sources, including databases and Excel files, enhancing its versatility. Furthermore, eMite features a KPI management system that empowers users to create tailored KPIs that align with their specific operational needs, thus optimizing performance tracking and decision-making processes. This level of customization ensures that organizations can effectively monitor their unique metrics and improve their overall efficiency.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Avaya Aura
Genesys Cloud CX
Jira
Microsoft 365
Microsoft Excel
Oracle Berkeley DB
SQL Server
Salesforce
Sapio Sciences
Integrations
Amazon Web Services (AWS)
Avaya Aura
Genesys Cloud CX
Jira
Microsoft 365
Microsoft Excel
Oracle Berkeley DB
SQL Server
Salesforce
Sapio Sciences
Pricing Details
No price information available.
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
Sapio Sciences
Founded
2004
Country
United States
Website
www.sapiosciences.com/products/sdms-scientific-data-cloud/
Vendor Details
Company Name
eMite
Country
Australia
Website
www.emite.com/solutions/
Product Features
Scientific Data Management System (SDMS)
Analytics
Artificial Intelligence (AI)
Audit
Centralized Data Repository
Collaboration
Compliance
Data Security
ELN Integration
LIMS Integration
Workflows
Product Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery