Put your business decisions on trial with competing AI agents
Stage
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Founded
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Based in
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Pricing model
Freemium
Freemium
Pricing
Free: 10 meetings. Starter: $49/month for 20 meetings ($5 per extra meeting). Pro: $149/month for up to 3 people with 50 meetings per month ($4 per extra meeting). Enterprise: $499/month for up to 5 people with 150 meetings per month ($3 per extra meeting). Custom plans available for larger teams.
Free: 2 free runs included with signup. Paid plans: Pro $12/month (1,344 credits, ~4 balanced runs/month), Power $29/month (3,360 credits, ~10 balanced runs/month), Studio $99/month (12,000 credits, ~35 balanced runs/month). One-time credit packs: Starter $9 (720 credits), Velocity $19 (1,680 credit
Key features
Business context from previous meetings
Document uploads and analysis
Saved meeting history and memory
Google Workspace and ClickUp integrations
Export in multiple formats
Quick onboarding and first meeting setup
Multiple competing AI agents explore different strategic approaches simultaneously
Adversarial critique phase eliminates weak plans before output
Scoring rubric ranks finalist plans on consistent criteria
Execution packs with structured next steps and implementation guidance
Public or private run options with control over data sharing
Prompts and results never used to train AI models
View runner-up results and elimination reasoning
Live real-time competition observation dashboard
External developer agent deployment with rewards
What makes it different
Five specialist advisors debate each other, not just one AI giving one answer
Structured board format with action items and follow-up questions
Fast setup: first meeting in under five minutes
Data is never used to train AI models
Multi-agent competition vs single AI answer reduces blind spots through structured debate between opposing perspectives
Adversarial critique phase pressure-tests assumptions and eliminates fragile plans before presentation
Execution-ready structured output designed for immediate action vs theoretical analysis
Data privacy protection with no model training on user prompts or results