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Average Ratings 0 Ratings
Description
Unify your AI governance initiatives amongst various stakeholders, guarantee that your governance procedures are primed for regulatory compliance, and effectively assess and control your AI-related risks and adherence to regulations. Transition from disjointed teams and processes to a consolidated source of reliable governance that simplifies the effective management of all your AI and machine learning projects. Keep informed on the latest regulations and standards with AI Policy Packs designed to comply with both current and emerging rules. Credo AI functions as an intelligence layer that integrates with your AI systems, converting technical documentation into practical insights regarding risk and compliance for product managers, data scientists, and governance professionals. By enhancing your technical and business infrastructure, Credo AI also provides risk and compliance metrics that can guide decision-making across your organization. This comprehensive approach not only streamlines governance but also fosters a culture of accountability and transparency in AI development.
Description
The Grace Enterprise AI Platform stands out as a comprehensive solution that fully addresses Governance, Risk & Compliance (GRC) considerations for AI. By providing a streamlined, secure, and effective implementation of AI technologies, Grace ensures that organizations can standardize their processes and workflows across all AI initiatives. It encompasses a complete suite of features necessary for organizations to achieve AI proficiency while safeguarding against regulatory challenges that could hinder AI deployment. The platform effectively reduces barriers to AI access for users in various roles, such as technical staff, IT professionals, project managers, and compliance officers, while still catering to the needs of seasoned data scientists and engineers with optimized workflows. Additionally, Grace guarantees that all activities are meticulously documented, justified, and enforced, covering every aspect of data science model development, including the data utilized for training, potential model biases, and beyond. This holistic approach reinforces the platform's commitment to fostering a culture of accountability and regulatory adherence in AI operations.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
OpenShift Cloud Functions
Oracle Cloud Infrastructure
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
OpenShift Cloud Functions
Oracle Cloud Infrastructure
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
Credo AI
Founded
2020
Country
United States
Website
www.credo.ai/
Vendor Details
Company Name
2021.AI
Founded
2016
Country
Denmark
Website
2021.ai/offerings/grace-enterprise-ai-platform/
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization