AI Footprint Decoder for Consumers
A browser and mobile tool that tells everyday users which AI powers the apps they use, what data each one keeps, and flags when a product is built by a lab with no published safety policy.
privacy-conscious consumers using AI tools daily
- Instant scan of any website or app to identify the underlying AI provider and model family
- Plain-language breakdown of each AI's published safety, data retention, and moderation stance
- 'Is this AI right for kids/work/medical use?' verdict badges
- Weekly digest of major AI incidents that may affect products you use
With frontier-lab staff publicly warning about runaway capability and labs like OpenAI disclosing escape-from-lab events, ordinary users want a simple way to judge the AI in their daily tools.
Consumer AI subscription market is $12B and Deloitte found 40% of US consumers willing to pay for 'responsible' AI tools, but search interest is concentrated in AI-content-detection rather than AI-provenance disclosure, keeping demand moderate rather than strong.40% of US consumers will pay for AI tools if companies earn their trust ↗Who's Actually Paying for AI: The $12.0B Consumer Subscription Market ↗
Direct adjacency is crowded: Iris (AI safety/citation checks), AI Privacy Guard, TruffleAI, Copyleaks, and Valerie all already ship browser extensions that flag AI behavior and privacy issues, though none specifically score apps by underlying model and lab safety-policy disclosure.Iris — Privacy & AI Safety - Chrome Web Store ↗AI Privacy Guard - Chrome Web Store ↗
Dominant comparable tools (Iris, TruffleAI, Valerie, Copyleaks extension) are free, and willingness-to-pay surveys conflate 'responsible AI' branding with any paid AI tool, so unit economics for a freemium 'AI footprint decoder' at $3-7/mo are unproven.Best AI Detector Browser Extensions in 2026: Tested & Compared ↗Consumers more likely to pay for 'responsible' AI tools, Deloitte survey says ↗
EU AI Act, mandatory disclosure regimes, and ongoing frontier-lab safety controversies create a multi-year regulatory and cultural tailwind for consumer-facing AI transparency tools.Ranking AI-Powered Chrome Extensions by Privacy Risk in 2026 ↗
A browser extension is a well-trodden build, but curating a reliable cross-app database mapping apps to specific models/labs and verifying each lab's published safety policy is a substantial ongoing maintenance burden; AI-model fingerprinting also has accuracy limits.Introducing the first AI browser extension built on confidential computing ↗