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🚀 Introducing TruthChecker 2.0 – The Next Evolution in AI Accuracy & Fact-Checking!
AI Guardrails
AI Guardrails: Keep AI Safe, Accurate, and Compliant
Ensure safe, ethical, and compliant AI with Elloe AI Guardrails—your first line of defense against AI risks, bias, and misinformation.
AI Guardrails for Free
16X
accuracy in detecting AI
hallucinations
90%
reduction in AI-generated misinformation
70%
faster compliance
enforcement
Don’t let manual content moderation impede your growth
User-generated content is a key part of expanding brand reach, but balancing user creativity and maintaining a safe, and healthy online environment is a growing challenge. Tracking activity across channels, creating and applying clear guidelines and brand policies, addressing moderation across different regions and languages, and factoring in cultural context makes it all the more difficult to protect brands and online communities.
AI offers new possibilities to automate key parts of the moderation process, not only social media for posts, but images and videos across channels, and only surface the most difficult decisions to moderators. However, most companies lack the resources needed to build AI workflows that scale. From natural language processing to visual search, organizations need out-of-the-box AI workflows and easy access to the right models to improve content moderation.
Content moderation that scales
Protect Your Brand
Prevent AI from generating offensive, misleading, or off-brand content.
Ensure Compliance
Align AI outputs with industry regulations and internal policies.
Optimize AI Performance
Improve accuracy by filtering out bias, hallucinations, and misinformation.
The AI technologies you need to protect your brand
Real-Time Content Filtering & Moderation
Recognize banned, harmful, or disturbing behavior in images, videos, and audio using pre-trained models built with popular taxonomies like GARM.
AI Hallucination & Bias Detection
Build custom-trained models to moderate content specific to your company, such as detecting brand guideline adherence and quality assurance.
Enterprise-Grade Compliance
Use AI and automation to tag content faster and train models to detect and classify undesirable content 100x faster with 95% greater accuracy than humans can do on their own.
Generative AI built for developers by developers
Where developers build production computer vision & LLMs with a Full Stack AI platform.
Build your next generative innovation
Leverage cutting-edge Large Language Models (LLMs) to craft coherent and contextually rich content, connect image generation models to create detailed visuals, utilize image captioning models for nuanced, descriptive narratives, and employ speech generation to render lifelike voice outputs. Harness the automation of workflows to seamlessly interlink generative models, enabling effortless innovation and customization.
Build RAG in four lines of code
Set up a seamless server-side Retrieval Augmented Generation (RAG) experience in four lines of code with our Python SDK. We make it easy for you to choose your LLM, create, index, and store embeddings, and build your chat interface effortlessly, enabling your instant RAG solution. Start with our defaults and customize as you gain experience.
Inspect Data with Advanced Model Analysis
Use advanced classification models to meticulously categorize and analyze data, enabling swift and accurate decision-making. Employ detection models to identify and locate objects, people, and more within images and videos, providing rich, detailed insights. Harness segmentation models to delineate and differentiate between various elements within an image, facilitating nuanced understanding and analysis. If we don’t have a pre-trained model to suit your needs, easily train another using our many architectures built into the platform.
Organize, share, reuse with AI Lake
Manage your AI applications with Clarifai's intuitive platform. Upload inputs, be it images, text, or videos, and harness them as the foundation to train sophisticated models. Structure your uploaded data as datasets, enabling precise subsets for model training and testing. Define concepts to categorize the classes within detection, classification, and segmentation models. Employ versioning to create and compare multiple iterations of your model, fine-tuning them with varied data to achieve high performance.
Scale your AI with confidence
Elloe ai was built to simplify how developers and teams create, share, and run AI at scale
A Leader in Computer Vision: Forrester Wave 2024
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