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Autonomyware vs Minded

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Autonomyware compared with Minded
DetailAutonomyware logo AutonomywareMinded logo Minded
What it doesAI-native platform for engineering physical products from natural language descriptions The AI Agent that finds its own work and gets it done
StageNot given Not given
FoundedNot given 2023
Based inNL Not given
Pricing modelFreemium Freemium
PricingExplore: €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. Starter: $9.99 to start with 5,000 credits. Pro: $50/month for 5,000 credits, with options from $20/month (2,000 credits) to $2,000/month (200,000 credits). Business: $1,500/month for 150,000 credits, with options up to $10,000/month (1,000,000 credits). 1 credit = 1¢ of finished work. Monthly credi
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
  • Records and learns tasks from single demonstration
  • Integrates with 3000+ tools
  • Identifies work automatically in email, chat and browser
  • Credit-based pricing with cost visibility
  • SOC 2 Type II and GDPR certified
  • Vetted human expert escalation on Pro plans
  • Recurring and scheduled task automation
  • Shared workspaces and team roles
  • Optimizes AI model selection for cost efficiency
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
  • Finds work autonomously instead of requiring briefs or backlogs
  • Learns from watching users perform tasks once
  • Delivers work in company voice and standards without prompting
  • Pay-per-task pricing instead of per-seat or token-based costs
  • Works across entire workflow without manual reassignment between tools
Community votes00
DR (Domain Rating by Ahrefs)4 +1 (up) since last check30 +1 (up) since last check
Trust Flow (Majestic)712
Citation Flow (Majestic)2736
Referring domains (Majestic)44318

5 details filled in for both companies.

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