Sup AI
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Overview
- Achieve research-grade accuracy with verifiable citations for every claim, powered by inline source verification that builds trust in complex analysis.
- Reduce AI hallucinations and get reliable answers, enabled by real-time Logprob Confidence Scoring that retries low-confidence responses.
- Solve complex problems with the optimal AI model for each task, using Intelligent Model Selection that routes queries to the best frontier models.
- Build a permanent knowledge base from all your documents and images, leveraging best-in-class Multimodal RAG for perfect memory across conversations.
- Collaborate securely on projects with zero personal data leakage, ensuring confidential teamwork with shared context and real-time chat.
- Understand the AI's reasoning step-by-step on difficult questions, through Extended Thinking traces that provide transparent problem-solving insight.
- Edit and discuss images within conversations using natural language, creating a seamless multimodal experience where visuals and text work together.
Pros & Cons
Pros
- Research-grade accuracy
- Less hallucinations
- Top on HLE benchmark
- Multi-Model Orchestration
- Real-time Logprob Confidence Scoring
- Verifiable source citations
- Perfect memory feature
- Supports image embedding
- Capable of image editing
- Intelligent Model Selection
- Secure collaboration
- Extended Thinking feature
- Ability to upload data
- Permanent knowledge base
- Handles multimodal conversations
- Best-in-class multimodal RAG
- Ensemble system outperforms individuals
- Automatically retries low-confidence responses
- High-confidence chunks make final answer
- Models reason through complex problems
- Always shows answer sources
- Complete problem-solving traces
- Significantly ahead of competitors
- Analytics-based query handling
- Enriched conversation experience
- Multiple frontier models support
- Automatic optimal model selection
- No personal data leakage
- Integrates text and images
- Collaborative project support
Cons
- No flexibility in model selection
- Costly for advanced features
- Limited free usage
- Less friendly for beginners
- No offline usage
- Limited modeling explanation
- Over-reliance on supplemental data
- No multi-language support
- No easy scalability
Reviews
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❓ Frequently Asked Questions
Sup AI is a tool driven by artificial intelligence, renowned for delivering research-grade accuracy and reduced hallucinations. It distinguishes itself as the most accurate AI tool available, with high performance on complex benchmarks like Humanity's Last Exam (HLE). Sup AI integrates unique features such as Multi-Model Orchestration, Real-Time Logprob Confidence Scoring, Perfect Memory, Multimodal Retrieval-Augmented Generation, and Intelligent Model Selection to ensure optimal results. It also supports image editing, facilitates secure collaborations, and provides thinking traces for in-depth insight into its problem-solving methods.
Sup AI's unique superiority in accuracy can be attributed to a blend of several cutting-edge features. Foremost among these is the Multi-Model Orchestration, which positions user queries effectively with the best frontier models for high-quality results. Concurrently, Sup AI enforces Real-Time Logprob Confidence Scoring, filtering out low-confidence responses in favor of high-confidence ones. Moreover, the tool's credibility is strengthened by inline citations for every claim it makes. It also possesses a 'perfect memory' through best-in-class multimodal RAG, rendering every input into enduring knowledge.
Humanity's Last Exam (HLE) is a rigorous AI benchmark devised by over a thousand domain experts across a hundred+ subjects. It's deliberately designed to challenge even advanced AI systems. In this demanding environment, Sup AI has excelled, successfully achieving a 52.15% accuracy rate, placing it an impressive 14+ points ahead of any other model.
Multi-Model Orchestration is a specialized method adopted by Sup AI to optimally route user questions to the most suitable frontier models. This intelligent steering combines the strengths of multiple models, hence driving superior outcomes. Regardless of the complexity or the nature of a query, this feature makes certain that it is readily handled by the most proficient model available.
Sup AI leverages Real-Time Logprob Confidence Scoring to measure and ensure the robustness of its responses. During the process, the confidence score of every generated response is meticulously assessed in real time. If a response collects a low confidence score, it is retried. This methodical procedure ensures that only the responses with the highest confidence scores make their way to the final answer.
Every single claim made by Sup AI is substantiated by verifiable sources, strengthening the credibility and accuracy of its responses. The AI incorporates inline citations in its answers, enabling users to conveniently track and verify the sources that inform its responses. This practice enhances the reliability of the information Sup AI provides.
Sup AI boasts a 'Perfect Memory' facilitated by its industry-leading Multimodal Retrieval-Augmented Generation (RAG). This ensures that every piece of input it receives is absorbed and immortalized as permanent knowledge. Regardless of the type or extent of the input, Sup AI's RAG ensures it's remembered and available for future reference.
Sup AI supports image editing and embedding within conversations. This capability paves the way for a multimodal conversation experience, allowing users to weave images seamlessly into ongoing discussions. With natural language commands, users can create and edit images that are incorporated into the dialogue in the same context as text.
Sup AI has specifically engineered a couple of mechanisms to enhance its accuracy. Primarily, it relies on Intelligent Model Selection which, based on the complexity and the nature of a query, picks the optimal frontier models for the task. Simultaneously, the AI uses Real-Time Logprob Confidence Scoring to measure confidence, retry low-confidence responses, and only deliver high-confidence chunks.
Certainly, Sup AI offers a secure environment for collaborations while ensuring zero leakage of personal data. It allows users to share projects without worrying about the compromise of their personal data. Subsequently, collaborations on chats are keyed in real-time, with a shared context, thereby facilitating confidence and convenience in teamwork.
Thinking traces in Sup AI provide a comprehensive reveal of the AI’s process of resolving complex problems. They present the users with a step-by-step breakdown of the reasoning applied by the models. This transparency provides users with a deeper understanding of the approach used by the AI in delivering the final answer and reinforces their confidence in its problem-solving skills.
The purpose of Intelligent Model Selection in Sup AI is to optimize the responses to user queries. This function scrutinizes the complexity, the domain, and the requirements of a query to identify and select the most suitable frontier models for the task. Through this, the Orchestration layer in Sup AI ensures the quality and accuracy of its responses.
Logprob Confidence Scoring is a feature of Sup AI that enhances its accuracy by analyzing the logprobs in real-time to assess the confidence of the generated responses. Sup AI automatically retrials low-confidence responses and selects only high-confidence chunks for the final answer. This system helps maximize the validity and reliability of the AI's outcomes.
Multimodal Retrieval-Augmented Generation (RAG) in Sup AI is a unique system that transforms every piece of input, whether images, PDFs, or documents, into permanent knowledge. This capability means that the AI remembers everything it's given indefinitely. It offers a memory solution that is not just expansive but also enduring. Multimodal RAG plays a crucial role in Sup AI's precision, making it a highly intelligent tool.
Sup AI ranks at the top in terms of accuracy among AI tools. A crucial benchmark for this is its performance on Humanity’s Last Exam (HLE), where it achieved an industry-leading score of 52.15% accuracy. This places Sup AI 14+ percentage points ahead of any other model, rendering it the most accurate AI currently available.
Through its real-time Logprob Confidence Scoring system, Sup AI effectively minimizes hallucinations. By analyzing logprobs, it measures the confidence level of each response and retrials those with low confidence. This process ensures that only high-confidence and hence, more accurate responses, make the cut for the final answer, drastically reducing the chances of hallucinative responses.
Certainly, Sup AI can be an invaluable tool for academic or research studies. With its dedication to research-grade accuracy and fewer hallucinations, it has the capacity to deliver reliable and trustworthy data. Its ability to cite every claim it makes further adds to its utility as the perfect machine learning model for academic and scholarly purposes.
Sup AI leverages a range of frontier models, operating under its intelligent orchestration layer. These models are selected according to the nature and requirements of individual queries, ensuring that the capabilities and speeds of different models are balanced ideally. Models used include GPT-5 Pro, Claude Opus 4.5, Gemini 3 Pro, and many others. The interplay of these models under the guiding orchestration layer makes Sup AI uniquely effective.
Yes, Sup AI is designed to handle significant volumes of data with ease. Its best-in-class multimodal RAG ensures that the AI remembers all input and can recall it whenever required. Regardless of the abundance and diversity of the data it encounters, this does not affect its performance or accuracy.
There is no specific information about any hardware or software prerequisites for Sup AI. The tool is designed to operate seamlessly across a wide range of general hardware and software environments.
Sup AI's Multi-Model Orchestration is an intelligent feature that routes user queries to the best frontier models. This process leverages the strengths of multiple models to yield superior results and greater accuracy.
Sup AI demonstrates high accuracy in results through a strategic combination of various attributes. It uses a real-time Logprob Confidence Scoring system that analyzes the confidence level and only includes high-confidence chunks in the final answer. The Intelligent Model Selection process directs user queries to the most optimal frontier models for handling the task. Sup AI further reduces hallucinations, which contributes to its result's accuracy.
In the challenging AI benchmark known as Humanity's Last Exam (HLE), Sup AI scores a remarkable 52.15% in accuracy. This is over 14 percentage points higher than any other competing AI model, establishing Sup AI as the most accurate AI in existence.
Yes, Sup AI provides verifiable sources for all the claims it makes. Each claim is backed by inline citations, which users can click to verify. This feature establishes the credibility and reliability of the AI tool.
Sup AI possesses several unique features that optimize its results. These include but are not limited to Multi-Model Orchestration, Intelligent Model Selection, real-time Logprob Confidence Scoring. All these features work synergistically towards reducing hallucinations and ensuring research-grade accuracy. Additionally, the platform's Extended Thinking feature provides a detailed insight into its problem-solving approach, and secure collaboration prevents data leakage.
Sup AI's real-time Logprob Confidence Scoring system measures confidence levels in real-time. It works by retrying low-confidence responses and only accepts high-confidence chunks for the final answer. This method significantly reduces occurrences of hallucinations, assuring more accurate outcomes.
During collaborative projects, Sup AI ensures stringent data security. The AI tool ensures that projects can be shared without any risk of personal data being leaked. This gives users the added assurance of security while collaborating.
Sup AI is capable of image editing and embedding in conversations. Users can weave images into their discussions using natural language commands. The images are then embedded contextually, creating a truly multimodal conversation experience, unmatched by other platforms.
Sup AI's multimodal RAG is described as best-in-class due to its perfect memory feature. This entails that every input, including images, PDFs, or documents, once uploaded, becomes part of the AI's permanent knowledge base. The AI thus has the ability to remember everything, ensuring no loss of data or context over time.
Sup AI's Intelligent Model Selection function operates by analyzing user queries and automatically selecting the most suitable frontier model to handle the task. This optimizes the tool's performance and result delivery.
Frontier models play an essential role in the functioning of Sup AI as they form the foundation of the Multi-Model Orchestration and Intelligent Model Selection features. The AI intelligently routes user queries to these models for superior results. Overall, the utility of frontier models is to optimize the AI's performance and ensure greater accuracy.
Sup AI guarantees research-grade accuracy without hallucinations by operationalizing mechanisms like Intelligent Model Selection and real-time Logprob Confidence Scoring that lower hallucination occurrences significantly. Each claim made by Sup AI is substantiated with verifiable sources, ensuring accurate and credible results.
Yes, Sup AI can process and incorporate any uploaded images, PDFs, or documents into its knowledge base, thereby effectively handling a multimodal conversation experience. The uploaded data become a part of the AI's permanent knowledge, ensuring no loss in contextual data over time.
Sup AI is superior to other AI tools in the market because of its unique combination of superior performance and advanced features. It is the leading AI in the tough AI benchmark - Humanity's Last Exam. It exhibits significantly reduced hallucinations and is known for its research-grade accuracy. Moreover, a range of features like Intelligent Model Selection, real-time Logprob Confidence Scoring and the ability to handle multimodal conversations effectively, make Sup AI stand out in the AI tools market.
Yes, Sup AI can support a multimodal conversation experience. It possesses the capability to embed images in conversations using natural language commands, thereby creating an interactive and effective multimodal conversation experience.
In the Sup AI platform, Extended Thinking refers to the feature that allows users to follow the model as it reasons through complex problems step by step. It shows the AI's work in a transparent manner, providing a detailed insight into its problem-solving approach. This transparency builds trust and aids in understanding how the AI arrives at the final output.
Sup AI is the most accurate AI tool, as evidenced by its performance on the Humanity's Last Exam (HLE). It leads with 52.15% accuracy, outperforming all other models by 14+ points. Further, Sup AI's dedication to research-grade accuracy, fewer hallucinations, intelligent model selection, and real-time Logprob Confidence Scoring back its status as the most accurate AI.
Sup AI provides detailed insight into its problem-solving approach through a feature known as Extended Thinking. It allows users to follow along as the models reason through complex problems step by step, demonstrating their work with transparent thinking traces. This openness gives users a complete understanding of how the AI addresses and solves problems.
Yes, Sup AI possesses a feature referred to as the perfect memory due to its best-in-class multimodal RAG. This function converts all input, including uploaded images, PDFs, or documents, to permanent knowledge. Hence, the AI retains all previous information and context, ensuring a richer, more contextual conversation experience.
Sup AI takes several operational measures to maintain its focus on accuracy. It employs advanced mechanisms like Intelligent Model Selection and Logprob Confidence Scoring, reducing hallucinations, and ensuring high confidence in results. It also pays close attention to secure collaborations and provides extended thinking traces to maintain transparency in problem-solving. All these steps work in synergy to consistently deliver the most accurate results and thereby uphold its reputation as the most accurate AI in existence.
Sup AI boasts a 'Perfect Memory' facilitated by its industry-leading Multimodal Retrieval-Augmented Generation (RAG). This ensures that every piece of input it receives is absorbed and immortalized as permanent knowledge. Regardless of the type or extent of the input, Sup AI's RAG ensures it's remembered and available for future reference.
Sup AI supports image editing and embedding within conversations. This capability paves the way for a multimodal conversation experience, allowing users to weave images seamlessly into ongoing discussions. With natural language commands, users can create and edit images that are incorporated into the dialogue in the same context as text.
Sup AI has specifically engineered a couple of mechanisms to enhance its accuracy. Primarily, it relies on Intelligent Model Selection which, based on the complexity and the nature of a query, picks the optimal frontier models for the task. Simultaneously, the AI uses Real-Time Logprob Confidence Scoring to measure confidence, retry low-confidence responses, and only deliver high-confidence chunks.
Certainly, Sup AI offers a secure environment for collaborations while ensuring zero leakage of personal data. It allows users to share projects without worrying about the compromise of their personal data. Subsequently, collaborations on chats are keyed in real-time, with a shared context, thereby facilitating confidence and convenience in teamwork.
Thinking traces in Sup AI provide a comprehensive reveal of the AI’s process of resolving complex problems. They present the users with a step-by-step breakdown of the reasoning applied by the models. This transparency provides users with a deeper understanding of the approach used by the AI in delivering the final answer and reinforces their confidence in its problem-solving skills.
The purpose of Intelligent Model Selection in Sup AI is to optimize the responses to user queries. This function scrutinizes the complexity, the domain, and the requirements of a query to identify and select the most suitable frontier models for the task. Through this, the Orchestration layer in Sup AI ensures the quality and accuracy of its responses.
Logprob Confidence Scoring is a feature of Sup AI that enhances its accuracy by analyzing the logprobs in real-time to assess the confidence of the generated responses. Sup AI automatically retrials low-confidence responses and selects only high-confidence chunks for the final answer. This system helps maximize the validity and reliability of the AI's outcomes.
Multimodal Retrieval-Augmented Generation (RAG) in Sup AI is a unique system that transforms every piece of input, whether images, PDFs, or documents, into permanent knowledge. This capability means that the AI remembers everything it's given indefinitely. It offers a memory solution that is not just expansive but also enduring. Multimodal RAG plays a crucial role in Sup AI's precision, making it a highly intelligent tool.
Sup AI ranks at the top in terms of accuracy among AI tools. A crucial benchmark for this is its performance on Humanity’s Last Exam (HLE), where it achieved an industry-leading score of 52.15% accuracy. This places Sup AI 14+ percentage points ahead of any other model, rendering it the most accurate AI currently available.
Through its real-time Logprob Confidence Scoring system, Sup AI effectively minimizes hallucinations. By analyzing logprobs, it measures the confidence level of each response and retrials those with low confidence. This process ensures that only high-confidence and hence, more accurate responses, make the cut for the final answer, drastically reducing the chances of hallucinative responses.
Certainly, Sup AI can be an invaluable tool for academic or research studies. With its dedication to research-grade accuracy and fewer hallucinations, it has the capacity to deliver reliable and trustworthy data. Its ability to cite every claim it makes further adds to its utility as the perfect machine learning model for academic and scholarly purposes.
Sup AI leverages a range of frontier models, operating under its intelligent orchestration layer. These models are selected according to the nature and requirements of individual queries, ensuring that the capabilities and speeds of different models are balanced ideally. Models used include GPT-5 Pro, Claude Opus 4.5, Gemini 3 Pro, and many others. The interplay of these models under the guiding orchestration layer makes Sup AI uniquely effective.
Yes, Sup AI is designed to handle significant volumes of data with ease. Its best-in-class multimodal RAG ensures that the AI remembers all input and can recall it whenever required. Regardless of the abundance and diversity of the data it encounters, this does not affect its performance or accuracy.
There is no specific information about any hardware or software prerequisites for Sup AI. The tool is designed to operate seamlessly across a wide range of general hardware and software environments.
Sup AI's Multi-Model Orchestration is an intelligent feature that routes user queries to the best frontier models. This process leverages the strengths of multiple models to yield superior results and greater accuracy.
Sup AI demonstrates high accuracy in results through a strategic combination of various attributes. It uses a real-time Logprob Confidence Scoring system that analyzes the confidence level and only includes high-confidence chunks in the final answer. The Intelligent Model Selection process directs user queries to the most optimal frontier models for handling the task. Sup AI further reduces hallucinations, which contributes to its result's accuracy.
In the challenging AI benchmark known as Humanity's Last Exam (HLE), Sup AI scores a remarkable 52.15% in accuracy. This is over 14 percentage points higher than any other competing AI model, establishing Sup AI as the most accurate AI in existence.
Yes, Sup AI provides verifiable sources for all the claims it makes. Each claim is backed by inline citations, which users can click to verify. This feature establishes the credibility and reliability of the AI tool.
Sup AI possesses several unique features that optimize its results. These include but are not limited to Multi-Model Orchestration, Intelligent Model Selection, real-time Logprob Confidence Scoring. All these features work synergistically towards reducing hallucinations and ensuring research-grade accuracy. Additionally, the platform's Extended Thinking feature provides a detailed insight into its problem-solving approach, and secure collaboration prevents data leakage.
Sup AI's real-time Logprob Confidence Scoring system measures confidence levels in real-time. It works by retrying low-confidence responses and only accepts high-confidence chunks for the final answer. This method significantly reduces occurrences of hallucinations, assuring more accurate outcomes.
During collaborative projects, Sup AI ensures stringent data security. The AI tool ensures that projects can be shared without any risk of personal data being leaked. This gives users the added assurance of security while collaborating.
Sup AI is capable of image editing and embedding in conversations. Users can weave images into their discussions using natural language commands. The images are then embedded contextually, creating a truly multimodal conversation experience, unmatched by other platforms.
Sup AI's multimodal RAG is described as best-in-class due to its perfect memory feature. This entails that every input, including images, PDFs, or documents, once uploaded, becomes part of the AI's permanent knowledge base. The AI thus has the ability to remember everything, ensuring no loss of data or context over time.
Sup AI's Intelligent Model Selection function operates by analyzing user queries and automatically selecting the most suitable frontier model to handle the task. This optimizes the tool's performance and result delivery.
Frontier models play an essential role in the functioning of Sup AI as they form the foundation of the Multi-Model Orchestration and Intelligent Model Selection features. The AI intelligently routes user queries to these models for superior results. Overall, the utility of frontier models is to optimize the AI's performance and ensure greater accuracy.
Sup AI guarantees research-grade accuracy without hallucinations by operationalizing mechanisms like Intelligent Model Selection and real-time Logprob Confidence Scoring that lower hallucination occurrences significantly. Each claim made by Sup AI is substantiated with verifiable sources, ensuring accurate and credible results.
Yes, Sup AI can process and incorporate any uploaded images, PDFs, or documents into its knowledge base, thereby effectively handling a multimodal conversation experience. The uploaded data become a part of the AI's permanent knowledge, ensuring no loss in contextual data over time.
Sup AI is superior to other AI tools in the market because of its unique combination of superior performance and advanced features. It is the leading AI in the tough AI benchmark - Humanity's Last Exam. It exhibits significantly reduced hallucinations and is known for its research-grade accuracy. Moreover, a range of features like Intelligent Model Selection, real-time Logprob Confidence Scoring and the ability to handle multimodal conversations effectively, make Sup AI stand out in the AI tools market.
Yes, Sup AI can support a multimodal conversation experience. It possesses the capability to embed images in conversations using natural language commands, thereby creating an interactive and effective multimodal conversation experience.
In the Sup AI platform, Extended Thinking refers to the feature that allows users to follow the model as it reasons through complex problems step by step. It shows the AI's work in a transparent manner, providing a detailed insight into its problem-solving approach. This transparency builds trust and aids in understanding how the AI arrives at the final output.
Sup AI is the most accurate AI tool, as evidenced by its performance on the Humanity's Last Exam (HLE). It leads with 52.15% accuracy, outperforming all other models by 14+ points. Further, Sup AI's dedication to research-grade accuracy, fewer hallucinations, intelligent model selection, and real-time Logprob Confidence Scoring back its status as the most accurate AI.
Sup AI provides detailed insight into its problem-solving approach through a feature known as Extended Thinking. It allows users to follow along as the models reason through complex problems step by step, demonstrating their work with transparent thinking traces. This openness gives users a complete understanding of how the AI addresses and solves problems.
Yes, Sup AI possesses a feature referred to as the perfect memory due to its best-in-class multimodal RAG. This function converts all input, including uploaded images, PDFs, or documents, to permanent knowledge. Hence, the AI retains all previous information and context, ensuring a richer, more contextual conversation experience.
Sup AI takes several operational measures to maintain its focus on accuracy. It employs advanced mechanisms like Intelligent Model Selection and Logprob Confidence Scoring, reducing hallucinations, and ensuring high confidence in results. It also pays close attention to secure collaborations and provides extended thinking traces to maintain transparency in problem-solving. All these steps work in synergy to consistently deliver the most accurate results and thereby uphold its reputation as the most accurate AI in existence.
Pricing
Pricing model
Freemium
Paid options from
$20/month
Billing frequency
Monthly
