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🚀 Introducing TruthChecker 2.0 – The Next Evolution in AI Accuracy & Fact-Checking!
Truthchecker
TruthChecker – AI You Can Trust
Advanced AI hallucination management system, designed to detect, explain, and correct hallucinations in real time—so your AI delivers only accurate, fact-based responses.
Try TruthChecker
Integrate with your existing AI stack
70%+
fewer AI hallucinations with real-time data validation
1.6M+
inference requests / sec supported
99.999%
reliability under extreme load
Orchestrate your AI workloads in a unified control plane
Fact-Checked AI Responses
Every AI-generated response is validated against credible sources before it’s delivered.
Real-Time Knowledge Verification
TruthChecker connects AI to live databases, internal documents, and authoritative sources to verify accuracy.
Smarter, More Reliable AI
Improve AI performance with automated truth validation, ensuring only fact-based responses are used.
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Go From Prototype to Production More Quickly
Model-Based Hallucination Detection
Configure servers into node pools and compute clusters to handle different workload needs across teams. Bring the convenience of serverless autoscaling to any compute.
Automatic Dataset Generation & Evaluation
Unified view to monitor your performance, costs, and usage across all your deployments. Manage your AI spend across teams and projects.
Compatible with All AI Models
Save time using a robust UI, SDK, and CLI that streamlines model build and config. Deploy your own models or 100’s of out-of-the-box pretrained models with the push of a button.
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 was built to simplify how developers and teams create, share, and run AI at scale
Establish an AI Operating Model and get out of prototype and into production
Download the Whitepaper
A Leader in Computer Vision: Forrester Wave 2024
Read the report
Make sense of the jargon around Generative AI with our glossary
Download the eBook
