AI-native platform for engineering physical products from natural language descriptions
Put your business decisions on trial with competing AI agents
Stage
Not given
Not given
Founded
Not given
Not given
Based in
NL
Not given
Pricing model
Freemium
Freemium
Pricing
Explore: €19.99/month (1,000 credits), Create: €49.99/month (2,500 credits), Engineer: contact for pricing. Yearly billing available with up to 21% savings.
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
Natural language product descriptions converted to 3D models
Exact CAD geometry generation
Bill of materials with complete parts list
Manufacturing-grade geometry with part dimensions and assembly
Electronics design in open beta
System architecture and engineering reasoning
Self-checking geometry verification
Real-time simulation and testing
Export to multiple file formats and manufacturers
Collaborative engineering with AI agents
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
Exact, buildable geometry instead of visual approximations
No CAD or engineering knowledge required
Complete engineering data with traceability and reasoning
Proprietary geometry kernel for real engineering, not guessing
Dedicated capacity and collaborative scoping for enterprise
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
Autonomyware
Edge Arena