Put your business decisions on trial with competing AI agents
AI agents for specific business functions that rehearse tasks as test runs before execution
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
DE
Pricing model
Freemium
Paid
Pricing
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
Roles range from € 99 to € 499 per month excluding VAT, with included monthly tasks varying by role: Administrative Assistant and Association Secretary at € 99/mo (40-45 tasks); Secretary at € 109/mo (50 tasks); Process Documentation and Planner at € 129/mo (15-40 tasks); Customer Service at € 229/m
Key features
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
Pre-built roles from a catalogue (31 roles)
Fingerprint verification on approval (SHA-256)
Full audit trail of proposals, test runs and approvals
Integration with 12+ pre-connected services
Custom REST API and MCP server connections
Servers in Germany within EU
AI Act compliance file (limited risk classification)
What makes it different
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
Test runs show actual outcomes with no side effects before real execution
No automatic approvals—every proposal requires explicit human approval
Approved test run and execution count together as one task, not two
Declined proposals are free and don't count against quota
Edge Arena
Stilops