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What Rayify is

Rayify is a multi-agent reasoning platform for high-stakes decisions. You submit a project - an investment thesis, a strategic question, a population test - and Rayify runs it through a panel of specialized AI agents that disagree on purpose, verifies every citation, preserves every minority view, and returns a structured DecisionPacket you can defend at IC and replay 18 months later. The platform combines three things that no single AI tool gives you:
  1. Adversarial multi-agent reasoning. A cross-family panel of specialist agents (different model families, different analytical frameworks) reasons over the same brief in parallel. Disagreement is the design goal, not a failure mode.
  2. Audit-grade verification. Every claim gets a citation; every citation gets re-grounded against the source; every prediction is scored by an independent cross-family Judge panel.
  3. Immutable replay. Every agent, framework, and source pack is content-hashed and pinned. Any DecisionPacket can be replayed against the exact agent versions that produced it.

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What you can do

  • Run a research project. One-shot brief in → multi-agent evidence pack + DecisionPacket out.
  • Run a survey. A list of binary / multi / matrix / likert / star_rating questions, each answered by a panel of agents with preserved disagreement.
  • Run a population test (Audience). N=50-5000 personality-bound voter agents simulate how a real population would react.
  • Run a scenario pack (Simulation). Monte Carlo over a factor space, producing fan charts + decision-point analysis.
  • Train your own agent. Provide an interview transcript + corrections; the agent calibrates over time.

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Two ways to integrate

For LLM-driven workflows (Claude, ChatGPT, Cursor, your own agent) - use the MCP server:
The MCP server exposes a slim 8-tool surface (4 pull + 4 push) plus 3 guided prompts. Designed for AI clients that need structured access to your Rayify workspace. See MCP Setup. For non-AI applications (server backends, batch jobs, automation) - use one of the SDKs:
  • Python: pip install rayify-sdk
  • TypeScript: npm install @rayify-ai/sdk
See SDK Setup.

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What’s next