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What is Sup AI?

Sup AI is a groundbreaking platform that merges outputs from several top large language models, such as GPT, Claude, and Llama, to create responses that are more detailed, accurate, and rigorously validated than those generated by any single model. Utilizing a real-time “logprob confidence scoring” mechanism, it assesses the probability of each token to pinpoint areas of uncertainty and potential errors; when a model's confidence falls below a predetermined threshold, the response generation is immediately suspended, ensuring high-quality and trustworthy answers. The platform features “multi-model fusion,” which systematically compares and integrates outputs from various models, effectively cross-verifying and distilling the best aspects into a unified final response. Furthermore, Sup is enhanced with “multimodal RAG” (retrieval-augmented generation), which allows the incorporation of diverse external data sources, including text, PDFs, and images, thereby enriching the contextual foundation of its responses. This capability guarantees that the AI can access accurate information and remain pertinent, effectively enabling it to retain vital data, thus significantly elevating the user experience. In essence, Sup AI symbolizes a major leap forward in the processing and presentation of information through AI technology, paving the way for future developments in the field.

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

ChatGPT
Claude
Claude Fable 5.1
Claude Haiku 5.5
Claude Mythos 5
Claude Opus 4.5
Claude Opus 4.7
Claude Opus 4.8
Claude Opus 5
Claude Opus 5.5
Claude Sonnet 4.5
GLM-4.1V
GLM-4.6
GLM-4.6V
GLM-4.7
GLM-5
GPT-5 mini
GPT-5 pro
Gemini 3 Pro Image
Gemini 3.1 Pro

API Availability

API Availability

Pricing Information

$20 per month
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour 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

Sup AI

Company Location

United States

Company Website

sup.ai/

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

mistral.ai/news/shieldstral/

Categories and Features

AI Tools

Not specified

Categories and Features

AI Models

Not specified

Content Moderation

Not specified

Open-Weight AI Models

Not specified

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