Demo Day
Bestie
Scan, Verify, Decide.
Personalized cosmetic risk reasoning
from ingredient fear lists.
Vision
“Help consumers make informed decisions based on ingredient hazards, allergies, and price.”
The Problem
Buying a beauty product shouldn't require decoding a chemistry label.
20–40 unfamiliar ingredients per product
Consumers jump between Google, EWG and other apps trying to interpret them.
The answers are often generic, contradictory, and not personalized.
Why Now
This is a large, old, and still unreadable consumer problem
$580B
Cosmetics Market
But the safety decision layer is still weak for consumers.
1967
First EU INCI label
Yet labels still remain hard for consumers to interpret in practice.
30.5%
Of Americans
Reported irritation from cosmetic and scented products, showing how common this problem can feel in daily life.
Three taps to a clear answer
1
Scan any product
Snap the label on something you're buying, using, or already own.
2
Get a clear risk score
Bestie shows what looks good, what looks questionable, and what needs a closer look.
3
Decide in seconds
Choose smarter, worry less, and feel confident.
The Five Verdicts
A clear risk score,
personalized to you.
GREAT
GOOD
MODERATE
HIGH RISK
AVOID
The Problem
Thousands of signals. One score. Unlocked by AI.
90K ingredients
15.4K rules
92K studies
2M+ data points
Your allergens
Cross-reactivity
Conflicting evidence
Fragrance allergens
Curved labels
Partial lists
Concentration?
Context-aware
Sensitizers
INCI order
RISK ENGINE
82
HIGH RISK
The Solution
Risk Engine

Every ingredient is checked three ways – on its own, against the rest of the formula, and against your allergies and preferences.

Ingredient List
Evidence
Citations
Product Type
Per-ingredient
Cross-ingredient
Preferences
01
02
03
SAFETY VERDICT OUT OF 100
Score + cited reasons
Composition stages feed the safety verdict
Why Bestie
Four worlds, one knowledge base
Ingredients
Regulatory Rules
Scientific Documents
Field Information
90K
~15K
~92K
~349K
One Bestie Knowledge Base
2.0M+ Records
Why Bestie
We replace the broken workflow, not another static score.
Every competitor cell below is verified against that app's own published methodology.
Manual research Scanner appsYuka · Think Dirty · EWG · INCI Beauty Bestie
Personalized to youYes, but unaidedNo — filters and alerts only,
the score never changes
Yes
Conflicts across your whole routineNoNone — no app scores a product against the rest of your shelfYes
Traceable to the sourceDIYNamed, not linkedLinked per flag
Works on a product they've never seen15–20+ minHours to a monthSeconds
Verified 12 Sep 2026 against Yuka, Think Dirty, EWG Skin Deep and INCI Beauty published methodology. None of the four personalizes its score; none analyzes a product against your other products; none links a flag to the underlying study. Manual research time from our own user interviews.
Meet your beauty Bestie.
Be first to scan. We're opening up early access to our public beta. Grab a spot and start scoring your products.
Get early access
QR code for mybestie.io
mybestie.io
Bestie
NO
YES
The End.
Bestie QR code for mybestie.io
mybestie.io
Bestie
Appendix
Traction · Private Beta
Early access proof — behavior, not vanity.
Corpus size is moat. Traction is how people use Bestie.
Beta users
11
10 joined in the last 4 weeks
Came back on another day
7 of 11
used Bestie on 2+ separate days
Active in the last 7 days
8 of 11
5 new this week + 3 returning
Scans by beta users & guests
290
53 by beta users · 237 in guest preview
Most engaged beta user
38 scans
across 10 separate days in 4 weeks
Typical scan time
3.2 s
about 2× faster than in August
Source: Bestie production database, Sep 12, 2026. Private beta since Jun 27, 2026. Excludes 77 automated test accounts and all team logins; one beta user with two accounts is counted once. Guest-preview scans (Jun 27 – Jul 27) are anonymous and may include internal testing. Scan time is the median of 45 scans (Sep 5–12), vs. 6.6 s on Aug 26.
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