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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
Osium AI is an advanced software platform that harnesses artificial intelligence to assist industry leaders in speeding up the creation of sustainable, high-performance materials and chemicals. Utilizing an innovative technology founded on over ten years of expertise and numerous AI patents, Osium AI provides a comprehensive solution that addresses all phases of the materials and chemicals development process, including formulation, characterization, scale-up, and manufacturing. This platform empowers users to swiftly predict any material or chemical property within seconds, create optimal research and development experiment plans, and quickly analyze material characteristics and flaws. Additionally, it allows for the optimization of current processes, leading to reduced costs, improved material properties, and lower CO₂ emissions. With its adaptable software, Osium AI is equipped to support a wide range of R&D projects while accommodating the ever-changing demands of the industry. Overall, the platform stands out as a crucial tool for enhancing innovation in materials science.
API Access
Has API
API Access
Has API
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
Osium AI
Founded
2023
Country
France
Website
osium.ai/
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