Our approach to responsible AI
We're an early-stage startup, not a research lab — but we think it's worth being upfront about how we approach AI, and what it can and can't do.
AI-Assisted
Image analysis approach
Early Stage
Actively developing our approach
Responsible AI
A principle we design around
Ongoing
Continuous improvement
Principles behind the product
Focused on Skin
We apply AI specifically to skin analysis and personalized skincare guidance.
Informing, Not Diagnosing
Built to inform, not diagnose — with guidance on when to see a licensed dermatologist.
Fairness Across Skin Tones
We're mindful of fairness across skin tones, ages, and genders as we build and improve.
Responsible AI
Clear disclosure of what the AI can and can't do — including when to see a real dermatologist.
Honest about our stage
Tincyglo is an early-stage, bootstrapped startup. We use established AI models, carefully applied to skin analysis, rather than claiming a proprietary research lab or a large in-house dataset we don't have.
Tincyglo's AI is built to inform, not diagnose. We're explicit in-product about that distinction, and every result includes guidance on when a licensed dermatologist should be consulted instead.
We're mindful of performance across skin tones, ages, and genders as we test and improve the product, and we'll keep refining our approach as we learn.
We are building Tincyglo with privacy and responsible data handling in mind — see our Security page and Privacy Policy for detail.
Curious how we're building this?
We're happy to talk about our approach to AI and where we're headed.