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Delibora vs OpenV2

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

Delibora compared with OpenV2
DetailDelibora logo Delibora OpenV2
What it doesRun structured AI debates, pitch reviews, focus groups, audience simulations and idea tournaments with inspectable transcripts and reports Build native iOS and Android apps with AI
StageMVP Not given
FoundedNot given Not given
Based inNot given RO
Pricing modelNot given Freemium
PricingNot given Free: one-time free trial. Pro: $25/month with included usage that resets every 5 hours and every week. Max: $129/month with 5 times the usage of Pro, priority build queue, concurrent builds, and priority support.
Key features
  • Decision stress-test with opposing agents and convergence recommendation
  • Judged debate with neutral arbiter scoring
  • Expert panel with key insights without verdict
  • Focus group with moderated discussion guide and verified quotes
  • Idea tournament with bracket and kill cards
  • TribeMind synthetic audience with opinion tracking
  • Shark Tank pitch panel with cross-examination
  • Interview simulator for testing guides on simulated participants
  • MultiFormat workflow chaining multiple formats together
  • Support for major AI models including Anthropic, OpenAI, Google Gemini, and others
  • AI team with six specialists: team leader, researcher, product manager, architect, engineer, and data analyst
  • Native code generation in Swift and SwiftUI for iOS and Kotlin for Android
  • Cloud-based simulator for testing on iPhone, iPad, or foldable devices
  • V2 Cloud backend with authentication, database, files, and server logic
  • Code editor for manual edits on paid plans
  • Voice conversation support for building while talking
  • Project export as ZIP for use in Xcode or Android Studio
  • App Store and Google Play publishing workflow
  • Companion for Windows to install test builds on USB-connected phones
  • Version history to restore earlier project states
What makes it different
  • Structured protocol determines turn order, not model inference
  • Each participant has separate briefs and private context
  • Persistent transcripts preserved turn by turn
  • Human steering mid-discussion without restarting
  • Multiple dissenting AI perspectives instead of single framing
  • AI team assigns specific roles to each task rather than one agent guessing everything
  • Native apps built with real Swift, SwiftUI, and Kotlin code, not cross-platform frameworks
  • From idea to working app in minutes without requiring Mac or local development setup
  • Usage-based plans instead of credits, with no monthly cap
  • Full code ownership with generated code belonging to the user
Community votes00
DR (Domain Rating by Ahrefs)4 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)1113
Referring domains (Majestic)12

3 details filled in for both companies.

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