Quorum

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 model’s output, it coordinates a “council” of models that analyze, critique, and refine each other’s 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.