Key Features

Multi-Model Orchestration for query routing to the best frontier models
Real-time Logprob Confidence Scoring with automatic response retries
Every output claim is backed by verifiable inline citations
Best-in-class multimodal RAG enabling permanent memory storage of uploaded files
Ability to create and edit images naturally within the conversation flow
Secure collaboration features for sharing projects without data leakage
Transparent thinking traces showing step-by-step reasoning for complex problems
Achieved state-of-the-art 52.15% accuracy on Humanity's Last Exam benchmark

The core strength of Sup AI lies in its sophisticated Multi-Model Orchestration layer. Instead of relying on a single underlying model, this system dynamically routes queries to the most capable frontier models available, synthesizing their combined expertise to yield superior outcomes. Furthermore, the platform incorporates real-time Logprob Confidence Scoring, which rigorously vets responses. Low-confidence segments are automatically flagged and retried, ensuring that only the most verifiable and certain information is presented to the user, a critical step in maintaining its documented accuracy advantage over other commercially available solutions.


Beyond raw performance, Sup AI integrates several features aimed at creating a comprehensive and reliable user experience. Every factual claim presented is supported by verifiable sources via inline citations, allowing for immediate verification of the information provided. The platform also boasts best-in-class multimodal Retrieval-Augmented Generation (RAG) capabilities under its 'Perfect Memory' feature, where uploaded documents and images are retained as permanent, accessible knowledge. This memory function, combined with the ability to naturally weave and edit images within conversational context, positions Sup AI as a robust tool for serious knowledge work and multimodal analysis.

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