Sup AI is an accuracy-first AI answer engine that uses multi-model orchestration and web retrieval to reduce hallucinations.

Features
- Parallel multi-model orchestration and synthesis
- Accuracy-first approach for research queries
- Web-retrieval-assisted answer generation
- Public benchmark claim display (HLE 52.15%)
- Lower hallucination rate and more stable outputs
- Built for high-confidence information validation
Use Cases
- Industry and technical research Q&A
- Multi-source synthesis for complex questions
- Fact-checking news and claims
- Pre-decision evidence comparison
- Knowledge retrieval with stricter accuracy needs
- Team workflows requiring more reliable AI outputs
FAQ
Sup AI focuses on accuracy-first answering with multi-model orchestration and web retrieval to reduce hallucinations and improve reliability for research-heavy queries. Public product messaging states a 52.15% result on Humanity’s Last Exam under a web-search-only setting. Core capabilities include: Parallel multi-model orchestration and synthesis, Accuracy-first approach for research queries, Web-retrieval-assisted answer generation.
Common scenarios include: Industry and technical research Q&A, Multi-source synthesis for complex questions, Fact-checking news and claims.