The Decision Integrity Platform
Multiple AI models debate your decisions. Ask any question and get a verdict with confidence scores, minority opinions, and a full audit trail.
ar- (Latin: toward, enhanced) + agora (Greek: marketplace of ideas)
PLATFORM
══════════════════════════════
══════════════════════════════
Unlike single-model chatbots, Aragora orchestrates 15+ AI models to debate every angle of your question and deliver a verdict with confidence scores, minority opinions, and a full audit trail.
7+ distinct AI providers act as adversaries, not echoes. Claude's caution vs GPT's creativity vs Gemini's speed, with Mistral bringing an EU perspective and Chinese models like DeepSeek, Qwen, and Kimi bringing a Chinese perspective. Real diversity. Real disagreement. Real risk signal.
Aragora runs the "Nomic Loop" -- agents red-team improvements to their own framework, implement code, verify changes. The arena evolves through its own critiques (sandboxed + human-reviewed).
We track prediction accuracy over time. Know which agents are confidently wrong vs genuinely uncertain. Trust earned through track record, not marketing.
══════════════════════════════
══════════════════════════════
What makes Aragora different from single-model chatbots.
Agents earn reputation through stress-test performance. Domain-specific ratings: security, architecture, testing.
See who's actually good at what — backed by data.
4-tier memory system inspired by cognitive science:
Surprise-based promotion: unexpected outcomes remembered.
Beyond win/loss: we measure prediction confidence.
Identify agents that are confidently wrong (dangerous).
Detects hollow consensus where agents agree on the surface but diverge on reasoning. Flags groupthink and sycophantic alignment before it reaches your decision.
The only platform that catches when AI agents are faking agreement.
Institutional knowledge persists across debates. Agents learn from past decisions, surface contradictions with prior conclusions, and build organizational wisdom.
Your AI remembers what it decided last quarter — and why.
Every debate produces a SHA-256 hashed receipt: who argued what, confidence levels, minority dissents, and the final verdict. Tamper-proof and audit-ready.
Cryptographic proof of how every decision was made.
Aragora improves itself through autonomous red-team cycles:
CONTEXT → DEBATE → DESIGN → IMPLEMENT → VERIFY → COMMIT
↑__________________________|Protected files checksummed. Automatic rollback on failure.
The only AI red-team system that evolves its own code.
USE CASES
Find critical flaws before launch
AI red-team your endpoints
GDPR, HIPAA, SOC 2 readiness
Multi-model adversarial analysis
Red-team RCA and mitigations
Defensible decisions with receipts
Multi-agent clinical reasoning
Investment due diligence
Literature review at scale