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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Sup AI is an innovative platform that integrates outputs from various leading large language models, including GPT, Claude, and Llama, to produce more comprehensive, precise, and thoroughly validated responses than any individual model could achieve alone. It employs a real-time “logprob confidence scoring” system that evaluates the likelihood of each token to identify uncertainty or potential inaccuracies; if a model's confidence dips below a certain level, the response generation is halted, ensuring that the answers provided are of high quality and reliability. The platform's “multi-model fusion” feature then systematically compares, contrasts, and combines outputs from multiple models, effectively cross-verifying and synthesizing the strongest elements into a cohesive final answer. Additionally, Sup is equipped with “multimodal RAG” (retrieval-augmented generation), allowing it to incorporate a variety of external data sources, including text, PDFs, and images, which enhances the context of the responses. This capability ensures that the AI can access factual information and maintain relevance, effectively allowing it to "never forget" critical data, thereby improving the overall user experience significantly. Overall, Sup AI represents a significant advancement in the way information is processed and delivered through AI technology.

Description

Traceloop is an all-encompassing observability platform tailored for the monitoring, debugging, and quality assessment of outputs generated by Large Language Models (LLMs). It features real-time notifications for any unexpected variations in output quality and provides execution tracing for each request, allowing for gradual implementation of changes to models and prompts. Developers can effectively troubleshoot and re-execute production issues directly within their Integrated Development Environment (IDE), streamlining the debugging process. The platform is designed to integrate smoothly with the OpenLLMetry SDK and supports a variety of programming languages, including Python, JavaScript/TypeScript, Go, and Ruby. To evaluate LLM outputs comprehensively, Traceloop offers an extensive array of metrics that encompass semantic, syntactic, safety, and structural dimensions. These metrics include QA relevance, faithfulness, overall text quality, grammatical accuracy, redundancy detection, focus evaluation, text length, word count, and the identification of sensitive information such as Personally Identifiable Information (PII), secrets, and toxic content. Additionally, it provides capabilities for validation through regex, SQL, and JSON schema, as well as code validation, ensuring a robust framework for the assessment of model performance. With such a diverse toolkit, Traceloop enhances the reliability and effectiveness of LLM outputs significantly.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Claude Haiku 4.5
Claude Opus 4.6
GLM-4.5V
GLM-4.5V-Flash
GLM-4.6V
GLM-5
GLM-5.1
GPT-5 mini
GPT-5 pro
Gemini 3 Flash
Gemini 3 Pro Image
Gemini 3.1 Flash-Lite
Grok 4
LiteLLM
Microsoft Azure
Pinecone Rerank v0
Python
Ruby
TypeScript

Integrations

Amazon Web Services (AWS)
Claude Haiku 4.5
Claude Opus 4.6
GLM-4.5V
GLM-4.5V-Flash
GLM-4.6V
GLM-5
GLM-5.1
GPT-5 mini
GPT-5 pro
Gemini 3 Flash
Gemini 3 Pro Image
Gemini 3.1 Flash-Lite
Grok 4
LiteLLM
Microsoft Azure
Pinecone Rerank v0
Python
Ruby
TypeScript

Pricing Details

$20 per month
Free Trial
Free Version

Pricing Details

$59 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Sup AI

Country

United States

Website

sup.ai/

Vendor Details

Company Name

Traceloop

Founded

2022

Country

Israel

Website

www.traceloop.com

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