Deep Fusion Research

Example Use Cases

• 1

  Synthesize and audit research from multiple AI model outputs and live data sources.

• 2

  That require integration with specialized MCP servers for authoritative domain-specific knowledge.

• 3

  Perform advanced claim extraction, Bayesian updating, and conflict resolution in research workflows.

Description

Deep Fusion Research provides a turnkey workflow to combine initial research prompts with outputs from Gemini and OpenAI models, enhanced by live web/API data and optional Model Context Protocol (MCP) servers. It performs claim extraction, Bayesian belief updating, and conflict resolution to deliver high-quality, transparent research packages. The system supports integration with specialized MCP servers for domain-specific knowledge, enabling agents to produce expert-level, fully audited research syntheses.