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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Both AI and non-AI models require effective risk management and oversight to function optimally. Fairly offers a continuous monitoring system designed for robust model governance and oversight. This platform facilitates seamless collaboration between risk and compliance teams alongside data science and cyber security professionals, ensuring that models maintain reliability and security standards. Fairly provides a straightforward approach to staying current with policies and regulations related to the procurement, validation, and auditing of non-AI, predictive AI, and generative AI models. The model validation and auditing process is streamlined by Fairly, which grants direct access to ground truth in a controlled environment for both in-house and third-party models, all while minimizing additional burdens on development and IT teams. This ensures that Fairly's platform not only promotes compliance but also fosters secure and ethical modeling practices. Furthermore, Fairly empowers teams to effectively identify, assess, and monitor risks while also reporting and mitigating compliance, operational, and model-related risks in alignment with both internal policies and external regulations. By incorporating these features, Fairly reinforces its commitment to maintaining high standards of model integrity and accountability.

Description

Liminal provides regulated businesses with the tools to securely implement and utilize generative AI for a variety of applications. By choosing Liminal, organizations gain full oversight of the data they provide to large language models, whether it's through direct engagement, using pre-existing software integrated with generative AI, or developing custom applications that harness these capabilities. The platform is model-agnostic and horizontal, effectively mitigating risks associated with regulatory compliance, data security, and reputation. This versatility extends to every model, application utilized, and those being developed. Organizations can enhance productivity while empowering their teams to safely harness generative AI across various environments, including websites, desktop applications, and more, all while ensuring stringent data security, governance, and monitoring. By embracing Liminal, enterprises can confidently navigate the complexities of generative AI, experiencing its benefits in a manner that is both secure and economically efficient.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Adobe Acrobat
Claude Sonnet 3.5
Claude Sonnet 3.7
GPT-4o
Gemini 1.5 Pro
Gmail
Google Workspace
Matter Center for Office 365
Microsoft Azure
OpenAI
Perplexity
Salesforce
Slack

Integrations

Adobe Acrobat
Claude Sonnet 3.5
Claude Sonnet 3.7
GPT-4o
Gemini 1.5 Pro
Gmail
Google Workspace
Matter Center for Office 365
Microsoft Azure
OpenAI
Perplexity
Salesforce
Slack

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

Fairly

Country

Canada

Website

www.fairly.ai/

Vendor Details

Company Name

Liminal

Country

United States

Website

www.liminal.ai/

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)

Alternatives

Alternatives

Prompt Security Reviews

Prompt Security

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