Toddler-Proof Vision
Snap a photo of any room and get an AI safety audit that predicts the physical risks a curious toddler could reach, pull, climb, or knock over — explaining the chain of consequences, not just a checklist.
New parents of infants and toddlers (0–3) preparing a home or visiting relatives
- Photo-to-hazard scan that ranks findings by predicted consequence severity (e.g., 'TV on low console likely to tip if pulled' vs. 'corner within head-height')
- 'What happens if…' simulator: ask in plain language and get a step-by-step prediction of how a toddler interacts with the object
- Action-mode plan: prioritized fixes under €10 / under 1 hour / weekend project
- Shareable room audit to send to grandparents, daycare, or a partner so everyone works from the same list
World-model research (LeCun, AMI Labs, V-JEPA 2) is moving from video frames to latent physical prediction, and the same 'predict what happens next physically' capability is exactly what anxious new parents want when child-proofing a space.
Multiple funded/listed competitors (TykeProof, BabyProof.ai, BabySafe Scanner, BabyProof, Babyproofing Home App) confirm an active parent pain point; App Store entries for exactly this use case validate search demand.TykeProof — Childproof any room with your camera ↗BabySafe Scanner on the App Store ↗BabyProof.ai - AI-Powered Home Safety ↗
Market is already crowded with 5–6 near-identical snap-a-photo babyproofing apps (TykeProof, BabyProof.ai, BabySafe Scanner, BabyProof, Babyproofing Home App, BabySafe AI); only the 'chain of consequences' framing is differentiated.Babyproofing Home App - App Store ↗BabyProof: Baby Safety AI - App Store ↗
Parents do spend on baby products, but this is a one-time-per-child task and TykeProof explicitly markets 'NO ads. NO logins. NO cloud' with optional Pro — suggesting thin willingness-to-pay; no public pricing tiers found for any competitor.TykeProof — Childproof any room with your camera ↗TykeProof (Child Safety) Features, Benefits, Alternatives ↗
Users age out of the 0–3 toddler window in 2–3 years, creating steep churn; the 'world-model consequence chain' angle is defensible but the underlying hazard-detection task is solvable with classical CV and will be commoditized by general vision LLMs.AI for Childproofing and Home Safety - Mindli Explore ↗
Trivial to build with existing on-device ML Kit / TensorFlow Lite or a vision LLM API — TykeProof already demonstrates an on-device end-to-end prototype with risk chips and PDF reports.TykeProof — Childproof any room with your camera ↗