Shieldstral

Shieldstral

Mistral AI
Strands Decider

Strands Decider

Strands Labs
+
+

Related Products

  • Omnilert
    26 Ratings
    Visit Website
  • Adobe Firefly
    25,051 Ratings
    Visit Website
  • SDS Manager
    4 Ratings
    Visit Website
  • SciSure
    311 Ratings
    Visit Website
  • Breathe
    655 Ratings
    Visit Website
  • HSI Donesafe
    176 Ratings
    Visit Website
  • Google AI Studio
    41 Ratings
    Visit Website
  • SmartDraw
    573 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Canditech
    111 Ratings
    Visit Website

About

Shieldstral is a 3B open-weights, policy-adaptive multimodal safety classifier designed to evaluate text, images, and text-plus-image content using policies defined at inference time. Instead of relying on a fixed taxonomy of harm categories, it frames moderation as a binary question-answering task: users provide an instruction describing the evaluation context and strictness, a yes-or-no safety question, and the content to judge. The model reads the “yes” and “no” logits and converts them into a continuous, calibrated safety score, allowing applications to threshold or rank results by confidence rather than depend on a single discrete label. This formulation unifies prompt classification, response moderation, refusal detection, toxicity detection, and multimodal safety in one interface, while letting teams adapt policies without retraining the model. Shieldstral can evaluate prompts, responses, prompt-response pairs, images, and images with accompanying text.

About

Strands Decider is a small, fast decision model, or System One model, built for agentic AI workflows. Unlike an LLM that generates arbitrary text, it chooses between predefined options, answers yes-or-no questions, or rates inputs on an ordered scale. Each decision includes calibrated confidence, making it possible to send uncertain cases to a larger model or a human while handling routine decisions quickly. The first model in the family, strands-decider-2B, has 1.9 billion parameters and is based on a Qwen3.5-2B-Base torso with its language-modeling head replaced by a lightweight pointer head. It evaluates answers in one forward pass without text generation or a decoding loop. Supported decision types include choice, noul for probability-of-true questions, and score for ordered scales. The model is designed for tasks such as model routing, tool selection, tool-argument checking, request triage, grounding and safety guardrails, policy classification, and low-cost evaluation.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

AI platform teams that need customizable, multimodal content moderation without retraining a separate safety model for every policy

Audience

Developers and AI engineering teams needing to make fast, confidence-calibrated routing, classification, scoring, guardrail, and tool-use decisions inside agentic workflows

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Mistral AI
Founded: 2023
France
mistral.ai/news/shieldstral/

Company Information

Strands Labs
United States
github.com/strands-labs/strands-decider

Alternatives

Alternatives

Clef-flash

Clef-flash

Cloudflare
Clef

Clef

Cloudflare
Jev

Jev

TypeSafe AI
Solar Decide

Solar Decide

Upstage

Categories

AI Models Supported
Content Moderation Supported

Categories

AI Decision Models Supported

Integrations

Mistral AI Supported
Strands Agents Not Supported

Integrations

Mistral AI Not Supported
Strands Agents Supported
Claim Shieldstral and update features and information
Claim Shieldstral and update features and information
Claim Strands Decider and update features and information
Claim Strands Decider and update features and information