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features
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support

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Description

Evaluate your ESG initiatives in relation to your rivals, ensuring you minimize redundancy by aligning with various standards such as WEF, TCFD, CDP, GRI, and SASB, alongside your company's own benchmarks. Vigilantly track ESG performance through automated process monitoring and notifications that promptly inform relevant stakeholders when issues arise, while also streamlining ESG evaluations by incorporating existing data for efficiency. Enhance your reporting experience with customizable dashboards and simplified one-click reports, enabling clearer insights and a comprehensive perspective by managing ESG alongside other governance, risk, and compliance frameworks. Additionally, facilitate the tracking of emissions in accordance with both global voluntary and mandatory carbon and sustainability reporting requirements, allowing for more strategic decision-making and compliance management. This holistic approach not only elevates your ESG performance but also fosters a culture of accountability within your organization.

Description

NuEnergy.ai's Machine Trust Platform™ (MTP) is an innovative cloud-based software solution designed to gauge, oversee, and foster trust in artificial intelligence (AI) technologies at any stage of their lifecycle—development, procurement, or deployment. The MTP evaluates critical trust factors such as privacy, ethics, transparency, and bias metrics, simultaneously safeguarding against the potential dangers of AI drift. This platform enables users to examine their AI systems against vital risk mitigation metrics, established third-party frameworks, and compliance standards, ensuring adherence to governance and ethical regulations. It provides considerable flexibility and options for configuration to guarantee compatibility and amplify trust in AI technologies. The platform incorporates global standards, including the Government of Canada’s Algorithmic Impact Assessment (AIA), and can be tailored to encompass additional governance frameworks as needed. Users can also select from a continuously expanding collection of validated AI trust tools offered by NuEnergy.ai, enhancing their ability to build and maintain trust in their AI deployments. This comprehensive approach not only strengthens the credibility of AI systems but also promotes responsible and ethical AI usage across various industries.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Rayven Yes 

Integrations

Rayven No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Diligent

Founded

1998

Country

United States

Website

www.diligent.com/solutions/modern-esg

Vendor Details

Company Name

NuEnergy.ai

Country

Canada

Website

www.nuenergy.ai/mtp/

Product Features

ESG

Activity Dashboard No 
Analytics/Reporting No 
Audit Management No 
Benchmarking No 
Compliance Management No 
Data Visualization No 
Document Management No 
Performance Metrics No 
Risk Assessment No 

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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