Quorum is a platform that orchestrates structured deliberations among multiple AI models to produce more accurate, well-justified answers with inspectable reasoning steps.
Quorum is a platform for orchestrating structured deliberations between multiple AI models to improve answer quality, reliability, and transparency. Instead of relying on a single modelβs output, it coordinates a βcouncilβ of models that analyze, critique, and refine each otherβs responses. Its primary purpose is to help users converge on more accurate, well-justified conclusions, particularly for complex, high-stakes, or ambiguous questions.
Quorum provides configurable deliberation workflows where models can be assigned distinct roles such as proposer, critic, verifier, and summarizer. It supports multi-step reasoning chains, enabling models to iteratively challenge assumptions, surface disagreements, and reconcile conflicting interpretations. Users can inspect intermediate reasoning steps, compare alternative lines of thought, and trace how a final answer was derived, improving interpretability and auditability. The platform is model-agnostic, allowing integration of different LLM providers or model versions so organizations can leverage diverse perspectives, strengths, and safety profiles within a single deliberation process.
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