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iFixAi vs modl.ai

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

iFixAi compared with modl.ai
DetailiFixAi logo iFixAi modl.ai
What it doesIndependent auditing for AI agents AI agents that automate game testing and QA
StageNot given Not given
FoundedNot given Not given
Based inUS DK
Pricing modelFreemium Not given
PricingStartup: 2 audits/reports per month, up to 3 agents. Growth: 4 audits/reports per month, up to 3 agents. Enterprise: 8 audits/reports per month, up to 3 agents. Agentic Enterprise: custom quote, 4+ agents. Free open-source: 60 inspections, self-hosted. Not given
Key features
  • Multidimensional audit covering AI red teaming, operational assurance, philosophical, ethical and sociological dimensions
  • Tests for prompt injection, policy violation, tool invocation governance, and authorization
  • Assesses epistemic integrity, reality grounding, and frankness
  • Evaluates fairness governance and vulnerable user care
  • Analyzes stakeholder conflict, influence and systemic risk
  • Connect through GitHub or MCP with no manual setup required
  • Generates audit reports with evidence and proof of agent behavior
  • Open-source engine available for self-hosting
  • Detects information hiding, unauthorized decision override, and unauthorized actions
  • No integration required - test games without SDKs, plugins or code changes
  • Plain language test instructions
  • Automatic bug report generation with severity scores
  • Visual and OCR analysis
  • CI/CD pipeline integration
  • Support for Android and desktop platforms
  • Dynamic gameplay adaptation
  • Video, logs and performance data capture
  • Custom game-specific model training
  • Skill library for player behavior simulation
What makes it different
  • Truly independent auditing through outside panel judgment, never internal self-inspection
  • Off-the-shelf integration with no manual eval harness or SDK embedding required
  • Covers five dimensions of trust: purpose, authority, workflows, responsibility and evidence
  • Measures beyond performance to identify misalignment across red teaming, operational, philosophical, ethical and sociological categories
  • No engineering integration needed - QA teams can automate testing independently
  • Visual black-box testing like human testers rather than script-based
  • Test in plain language without scripting
  • Automatic adaptation to game updates
  • Detailed bug reports with visual evidence and severity scores
Community votes00
DR (Domain Rating by Ahrefs)13 −1 (down) since last check51 no change since last check
Trust Flow (Majestic)1114
Citation Flow (Majestic)3128
Referring domains (Majestic)156442

4 details filled in for both companies.

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