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Average Ratings 0 Ratings

Total
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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Claude Yes 
Claude Mythos 5 Yes 
Claude Opus 5.5 Yes 
Claude Sonnet 4.5 Yes 
Claude Sonnet 4.6 Yes 
GLM-4.5V Yes 
GLM-4.5V-Flash Yes 
GLM-4.6V Yes 
GLM-4.7 Yes 
GLM-5.2 Yes 
GLM-5.3 Yes 
GPT-5 mini Yes 
Gemini 3 Flash Yes 
Gemini 3 Pro Yes 
Gemini 3.1 Flash-Lite Yes 
JSON No 
LiteLLM No 
Microsoft Azure No 
Pinecone Rerank v0 No 
Ruby No 

Integrations

Claude No 
Claude Mythos 5 No 
Claude Opus 5.5 No 
Claude Sonnet 4.5 No 
Claude Sonnet 4.6 No 
GLM-4.5V No 
GLM-4.5V-Flash No 
GLM-4.6V No 
GLM-4.7 No 
GLM-5.2 No 
GLM-5.3 No 
GPT-5 mini No 
Gemini 3 Flash No 
Gemini 3 Pro No 
Gemini 3.1 Flash-Lite No 
JSON Yes 
LiteLLM Yes 
Microsoft Azure Yes 
Pinecone Rerank v0 Yes 
Ruby Yes 

Pricing Details

$20 per month
Free Trial No 
Free Version Yes 

Pricing Details

$59 per month
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

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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