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Description
Shieldstral is an innovative multimodal safety classifier with a 3B parameter open-weight structure, adept at assessing text, images, and combined text-plus-image content based on dynamically defined policies during inference. Rather than adhering to a static set of harm categories, it approaches moderation as a binary question-and-answer format: users submit a contextual instruction outlining the evaluation criteria and strictness, pose a yes-or-no safety inquiry, and present the content for assessment. The model processes the “yes” and “no” logits to generate a continuous, calibrated safety score, enabling applications to prioritize or rank outcomes based on confidence levels instead of relying on a single categorical label. This design effectively integrates prompt classification, response moderation, refusal detection, toxicity assessment, and multimodal safety evaluation into a singular interface, empowering teams to modify policies without the need for model retraining. Shieldstral's versatility allows it to analyze prompts, responses, pairs of prompts and responses, images, and images paired with text, making it a comprehensive tool for safety evaluation. As such, it represents a significant advancement in the field of content moderation.
Description
Minimize the workload associated with manual moderation through advanced AI classification that mimics human understanding. This AI boasts exceptional accuracy in recognizing tone, context, and situational nuances. By evaluating multiple signals in conjunction, similar to human perception, Unitary allows for more precise classifications. The result is an enhanced user experience, reduced time spent correcting erroneous evaluations, and increased opportunities for moderators to concentrate on critical tasks. Our models are tailored to align with your specific trust and safety protocols while also providing ready-to-use models that consider tone, context, and setting, leading to substantial improvements in accuracy. Facilitate real-time customer interactions and optimize workflows by efficiently processing millions of content pieces daily. By lowering manual moderation expenses and safeguarding users, Unitary aims to empower brands and platforms to grasp the intricacies of every piece of content. Our innovative approach leverages context-aware AI and sophisticated multimodal machine learning techniques to ensure a comprehensive understanding of content in its specific context. Ultimately, this enables organizations to navigate the complexities of content moderation with greater ease and efficiency.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
Mistral AI
Founded
2023
Country
France
Website
mistral.ai/news/shieldstral/
Vendor Details
Company Name
Unitary
Country
United Kingdom
Website
www.unitary.ai/
Product Features
Content Moderation
Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation
Product Features
Content Moderation
Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation