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ease
features
design
support

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Description

Ensuring adherence to compliance standards for Substances of Very High Concern (SVHC) presents a continuous challenge for businesses involved in the production of chemicals or products that contain them. The manual approaches currently in use are increasingly becoming cumbersome and complicated due to the rise in regulatory demands and the complexities of the supply chain, making scalability a significant issue. Companies must efficiently scale up and manage increased workloads, particularly during product launches and submission periods. Additionally, navigating intricate and extensive supply chains requires persistent communication and coordination with suppliers. To address these challenges, APA Engineering, leveraging over 19 years of expertise in product chemical compliance and supported by a worldwide client network, has developed a web-based SaaS solution designed to minimize costs and time while enhancing compliance reporting. The Greencheck software streamlines and automates many essential aspects of product chemical compliance, allowing users to obtain chemical composition details with a single click. Vendors can conveniently upload information directly, even through Excel files, enabling comprehensive compliance reporting through a unified dashboard that consolidates all relevant product chemical regulations, thus making compliance more manageable and efficient for all stakeholders involved. This innovative approach not only simplifies the compliance process but also significantly enhances the overall effectiveness of supply chain management.

Description

IPA can also help analyze small-scale experiments that produce gene and chemical lists. IPA allows for targeted searches on genes, chemicals, and drugs. It also allows the creation of interactive models of experimental system. Data analysis and search capabilities allow for the understanding of the significance of data, targets, or candidate biomarkers within larger biological or chemical systems. The Ingenuity Knowledge Base contains highly structured, detail-rich chemical and biological findings that backs the software. Learn more about QIAGEN Ingenuity Pathway Analysis. Comparison Analysis determines which pathways, upstream regulators and diseases are most important. It can also be used to identify biological functions across time, doses, and other conditions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Microsoft Excel

Integrations

Microsoft Excel

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

APA Engineering

Country

United States

Website

apaengineering.com/chemical-regulatory-compliance/software/echa-scip-database/

Vendor Details

Company Name

QIAGEN

Founded

1984

Country

Germany

Website

www.qiagen.com/us/products/discovery-and-translational-research/next-generation-sequencing/informatics-and-data/interpretation-content-databases/ingenuity-pathway-analysis/

Product Features

Chemical

Certificates of Analysis
Chemical Process Simulation
Computer-Assisted Structure Elucidation (CASE)
ISO Management
Inventory Management
Particle Tracking
Reporting & Statistics
Samples Tracking
Traceability
Uncertainty Analysis

Product Features

Chemical

Certificates of Analysis
Chemical Process Simulation
Computer-Assisted Structure Elucidation (CASE)
ISO Management
Inventory Management
Particle Tracking
Reporting & Statistics
Samples Tracking
Traceability
Uncertainty Analysis

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