Solutions
FOOLPROOF SKIN closes the feedback gap between consumers and retail by turning longitudinal symptom tracking and ingredient intelligence into predictive personalization - improving outcomes, boosting retention, and reducing returns.
Ingredient Intelligence API
Match skincare ingredients to skin or hair needs
and seamlessly plug into online shops.
- Increase conversions: Help customers choose the right product faster.
- Reduce returns: Minimize mismatched purchases from sensitivities or wrong-fit products.
- Differentiate your shop: Offer personalization competitors can’t.
- Customer loyalty: Build trust with science-based recommendations and visible results over time.
Health Tracking Integration
Combine skincare, nutrition, and environmental triggers to understand what drives real-world skin & hair changes.
FOOLPROOF links daily symptoms with routines, ingredients, supplements, and factors like weather/UV to identify associations and potential triggers (e.g., suspected food-sensitivity patterns) and turn them into testable, personalized guidance—at scale.
Prove effectiveness: measurable outcomes and progress over time
Personalization at scale: holistic guidance beyond a single product
Retention: keep users engaged with insights + results
Cross-selling: recommend skincare + nutrition that matches the user profile
More Solutions
Corporate Wellness
Support employee wellbeing with personalized, privacy-first skin & hair insights.
-
Engagement: a relatable, daily-use wellness touchpoint
-
Retention: progress tracking keeps people coming back
-
Measurable impact: opt-in outcomes and participation metrics
-
Scalable personalization: tailored guidance without 1:1 coaching
Research Partnerships
Generate real-world evidence from longitudinal skin & hair data linked to lifestyle and environmental context.
- Faster insights: Validate hypotheses with real-world, time-stamped outcomes.
- Better study design: Identify responder profiles and trigger patterns to power targeted trials.
- Deep tech analytics: Lag-aware, explainable models built for sparse real-world data.
- Governance-ready: Anonymized datasets, consented cohorts, and partner-friendly data workflows.
