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Autonomyware vs MiroFish

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 MiroFish
DetailAutonomyware logo Autonomyware MiroFish
What it doesAI-native platform for engineering physical products from natural language descriptions A simple and universal swarm intelligence engine
StageNot given Not given
FoundedNot given Not given
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: $7.50/month (monthly) or $9/month (annual); Pro: $15.83/month (monthly) or $19/month (annual); Premium: $40.83/month (monthly) or $49/month (annual). Annual plans save 17%.
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
  • Upload PDF, Markdown, and text documents to seed simulations
  • Convert source material into ontology and graph structure
  • Run parallel simulations with up to 1 million agents per run
  • Generate prediction reports with key risks and confidence signals
  • Deep interaction through ReportAgent or direct character interviews
  • Dual-surface simulation across Twitter and Reddit style channels
  • Follow-up questions in the same workspace for continued analysis
  • Build executable scenarios for public opinion, market, policy, and narrative use cases
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
  • Inspectable AI forecasts treated as exploratory hypotheses before operational decisions
  • Review simulations before upload with the Forecast Explorer gallery
  • Graph-native simulation that exposes actor incentives, narrative spread, and reaction chains
  • Templates and guides for recurring scenario types like crises and product launches
  • Keeps judgment with humans on scenario boundaries and high-stakes operating calls
Community votes00
DR (Domain Rating by Ahrefs)4 +1 (up) since last check56 no change since last check
Trust Flow (Majestic)75
Citation Flow (Majestic)2730
Referring domains (Majestic)44160

5 details filled in for both companies.

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