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What is Unitary?

Reduce the burden of manual moderation by employing advanced AI classification systems that replicate human comprehension. This technology excels in detecting tone, context, and subtle situational differences with remarkable precision. By analyzing various signals simultaneously, akin to human interpretation, Unitary achieves more accurate classifications. This leads to an improved user experience, minimizes the time spent rectifying incorrect assessments, and allows moderators to focus on more important tasks. Our models are specifically designed to match your unique trust and safety guidelines while also offering ready-to-deploy solutions that take into account tone, context, and environment, resulting in significant accuracy enhancements. By enabling real-time customer interactions and streamlining workflows, we efficiently manage millions of content pieces each day. In doing so, we reduce the costs associated with manual moderation and protect users, empowering brands and platforms to understand the nuances of each content piece thoroughly. Our pioneering strategy utilizes context-sensitive AI and advanced multimodal machine learning techniques to ensure a deep understanding of content within its particular context. This ultimately allows organizations to handle the challenges of content moderation with improved simplicity and effectiveness, fostering a more reliable and engaging online environment. Furthermore, as the digital landscape continues to evolve, our solutions adapt to meet the growing demands of content management.

What is Shieldstral?

Shieldstral is a cutting-edge multimodal safety classifier featuring a 3 billion parameter open-weight architecture, capable of evaluating text, images, and mixed text-image content based on policies that are defined dynamically during the inference process. Instead of following a rigid set of harm categories, it treats moderation as a binary question-and-answer dialogue: users provide a contextual instruction detailing the criteria and level of strictness for evaluation, pose a yes-or-no safety question, and submit the content for review. By interpreting the “yes” and “no” logits, it produces a continuous and calibrated safety score, which allows applications to prioritize results based on confidence rather than relying solely on a singular categorical label. This innovative design seamlessly combines prompt classification, response moderation, refusal detection, toxicity assessment, and multimodal safety evaluation into one cohesive interface, giving teams the flexibility to adjust policies without requiring re-training of the model. The adaptability of Shieldstral enables it to effectively analyze various inputs including prompts, responses, image content, and combinations of images with text, thereby serving as a powerful tool for comprehensive safety assessments. Consequently, Shieldstral stands as a noteworthy leap forward in the realm of content moderation technologies, reinforcing safety measures across digital platforms.

Media

Media

Integrations Supported

Python

Integrations Supported

Mistral AI

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Unitary

Company Location

United Kingdom

Company Website

www.unitary.ai/

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

mistral.ai/news/shieldstral/

Categories and Features

Content Moderation

Not specified

Categories and Features

AI Models

Not specified

Content Moderation

Not specified

Open-Weight AI Models

Not specified

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