Patina — Know What Lasts.

Toteme — Resale Retention

+82% The Row — Cost Per Wear

$0.80 Khaite — Brand Trajectory

↑ Rising Bottega Veneta — Resale Retention

+76% Zara — Cost Per Wear

$4.20 Lemaire — Brand Trajectory

↑ Rising Aesther Ekme — Depreciation

-18%/yr Loro Piana — Resale Retention

+91% Acne Studios — Trend Longevity

6yr signal Toteme — Resale Retention

+82% The Row — Cost Per Wear

$0.80 Khaite — Brand Trajectory

↑ Rising Bottega Veneta — Resale Retention

+76% Zara — Cost Per Wear

$4.20 Lemaire — Brand Trajectory

↑ Rising Aesther Ekme — Depreciation

-18%/yr Loro Piana — Resale Retention

+91% Acne Studios — Trend Longevity

6yr signal

84 / 100 Loro Piana Cashmere Coat

91 / 100 Zara Wide Leg Trousers

31 / 100 Toteme Signature Scarf

78 / 100 Acne Studios Blazer

82 / 100 H&M Trend Top

22 / 100 Khaite Benny Sweater

87 / 100 Aesther Ekme Demi Lune

85 / 100 Lemaire Soft Game Bag

88 / 100 The Row — Margaux

84 / 100 Loro Piana Cashmere Coat

91 / 100 Zara Wide Leg Trousers

31 / 100 Toteme Signature Scarf

78 / 100 Acne Studios Blazer

82 / 100 H&M Trend Top

22 / 100 Khaite Benny Sweater

87 / 100 Aesther Ekme Demi Lune

85 / 100 Lemaire Soft Game Bag

88 / 100

The Problem

Fashion is a broken
information market.

When a resale platform prices a $600 coat, or a fashion VC evaluates an emerging brand — they have nothing but gut feel and brand reputation. That information asymmetry costs real money. Patina fixes it.

"The global resale market will reach $367B by 2029. The platforms, investors, and buyers who trade fashion are making billion-dollar decisions with no independent data layer. That is the problem Patina solves."

Fast Fashion

Pricing Without Intelligence

Resale platforms price on brand recognition and condition alone — not resale trajectory or material quality. A genuinely excellent emerging brand gets priced like mid-market. Patina surfaces the data that changes that.

Mid-Market

The Emerging Brand Problem

Fashion VCs and department store buyers evaluate emerging brands with no objective quality data. Editorial opinion and sales rep relationships drive decisions worth millions. Patina gives them an independent signal.

Resale Platforms

Pricing Without Intelligence

Resale platforms price on brand recognition and condition — not intrinsic quality or future value trajectory. A genuinely excellent emerging brand gets priced like mid-market. A declining heritage brand gets priced like gold.

Investors & Buyers

No Quantified Quality Signal

Fashion VCs and department store buyers rely on editorial opinion to evaluate emerging brands. There is no data product that tells them which brand will be the next Khaite — before everyone else figures it out.

The Scoring Framework

Four pillars.
Zero brand input.

Every source is independently verifiable. Brands cannot game their score through marketing investment or lobbying.

30%

Material & Construction

Fabric composition, stitch density via CV analysis, hardware quality, country of origin. Legally required disclosure — brands cannot manipulate it.

Label databases · CV imagery · Supply chain registries

25%

Longevity & Durability

Projected wear cycles, colorfastness, trend half-life modelled via Google Trends and runway data, repairability index, pilling score.

Textile databases · Trend APIs · Runway archives

25%

Resale & Asset Value

Historical price retention by brand, item, and colorway. Secondary market liquidity. 3-year projected value via depreciation curve modelling.

eBay · Depop · Vestiaire · The RealReal

20%

Ethics & Sustainability

Supply chain transparency, labor certifications, carbon footprint per wear. Lowest weight — the most gameable pillar carries the least influence.

Good On You API · Fashion Transparency Index

Who We Serve

Intelligence for the
businesses that trade fashion.

Patina delivers private Integrity Score reports and API access to resale platforms, fashion investors, and department store buyers. Every data point is publicly verifiable. Pricing on request.

The Market Opportunity

"The global resale market reaches $367B by 2029. Platforms, investors, and buyers are making billion-dollar decisions with no independent data layer."

Priority Buyer 01

Resale Platforms

The RealReal, Vestiaire, Rebag, Depop. Item-level scoring reduces authentication costs and improves pricing accuracy — with a direct, measurable ROI from day one.

Request a report →

Priority Buyer 02

Fashion VCs & Family Offices

Need quantified quality due diligence when evaluating emerging brand investments. No tool currently provides this. Brand Emergence Signal reports delivered quarterly.

Request a report →

Priority Buyer 03

Department Store Buyers

Nordstrom, Net-a-Porter, Selfridges. Identifies which emerging brands to stock before they become expensive to carry and before editorial opinion catches up.

Request a report →

The Data Product

Bloomberg
for fashion.

An independent scoring engine built entirely from publicly verifiable market data. Delivered privately to the platforms, investors, and buyers who need it.

Resale Depreciation Curves — live price tracking across The RealReal, Vestiaire, and eBay mapped into a clear depreciation signal. Updated weekly.

Brand Emergence Signal — identifies which emerging brands have the material quality and resale trajectory to become the next Khaite before the market catches up.

Private Data Licensing — scores and reports delivered under a data licensing agreement to resale platforms, fashion VCs, and department store buyers. Never published publicly.

Intelligence Dashboard

$7,228

Est. Portfolio Value

Item	Paid	Score	90d Δ	Signal
Loro Piana — Cashmere Coat	$3,200	91	+12%	Hold
The Row — Margaux Bag	$1,490	92	+8%	Hold
Toteme — Signature Scarf	$320	78	−2%	Hold
Zara — Wide Leg Trousers	$45	31	−68%	Sell Now
H&M — Trend Top	$25	22	−85%	Sell Now

Why Patina Exists

A conversation.
An idea that wouldn't leave.

Patina started from a conversation — the kind that kept happening. Friends talking about how clothing is either way too expensive with questionable quality, or cheap and completely hit or miss. Nobody could ever really know what they were getting.

What if you could know? What if you could see the actual composition and material quality before spending the money — or decide not to at all? Being more money-conscious, reducing overconsumption, making fewer but better decisions. That idea came up again and again.

Then came a line from a book about Carolyn Bessette-Kennedy — a friend remembering that good clothing doesn't need to be expensive. It's about the fabric, the construction, the longevity. It confirmed everything.

Fast fashion — Zara, H&M, Shein — trend pieces built on underpaid labour, appalling factory conditions, garments that fall apart in weeks. Luxury fashion priced so far out of reach that quality becomes inaccessible. Nobody is telling the truth about what things are worth. Patina does.

Calvin Klein - Is good taste expensive taste?

Watch on YouTube

          Calvin Klein · on quality, craft, and what clothing is really worth
          ↗
        

"Just because you have money and can afford expensive clothes doesn't mean that you have taste."

— Calvin Klein

Money-conscious Less overconsumption Fast fashion Luxury opacity Worker exploitation

Riya Pradhan

Founder · Georgetown MSBA 2027

Riya's work sits at the intersection of finance, economics, AI, and sustainability — and she's been thinking about how those fields converge long before Patina existed. Trained in Economics, Public Policy, and Environmental Science, she's drawn to the questions that live between disciplines: how markets fail, why information asymmetry persists, and what it costs us — financially and environmentally — when it does.

Fashion became the clearest expression of all of it. Overconsumption driven by bad information. Sustainability claims that can't be verified. Quality that's impossible to quantify. She built AlphaKnaut — a Federal Reserve policy impact tool — to understand how AI can surface financial intelligence from complex data. Patina applies the same thinking to a problem closer to home.

Patina is the platform she and her friends wished had existed.

Georgetown MSBA — AI & data analytics, 2027

University of Toronto — Economics, Public Policy & Environmental Science, 2026

AlphaKnaut — Full-stack financial intelligence tool, built independently

The problem she lives — Years without an objective quality signal at accessible prices

$367B

Resale market by 2029

64%

Shoppers traded down 2024

Tools like this exist today

Quality reveals itself over time. Patina · 2026

Know what
lasts.

Pricing Without Intelligence

The Emerging Brand Problem

Pricing Without Intelligence

No Quantified Quality Signal

Submit a Request

Data Analysis

Intelligence Delivered

Material & Construction

Longevity & Durability

Resale & Asset Value

Ethics & Sustainability

Resale Platforms

Fashion VCs & Family Offices

Department Store Buyers

A conversation.
An idea that wouldn't leave.

What you wear touches
your body every single day.

Know what lasts.

Pricing Without Intelligence

The Emerging Brand Problem

Pricing Without Intelligence

No Quantified Quality Signal

Submit a Request

Data Analysis

Intelligence Delivered

Material & Construction

Longevity & Durability

Resale & Asset Value

Ethics & Sustainability

Resale Platforms

Fashion VCs & Family Offices

Department Store Buyers

A conversation.An idea that wouldn't leave.

What you wear touchesyour body every single day.

Know what
lasts.

A conversation.
An idea that wouldn't leave.

What you wear touches
your body every single day.