Intellaris
Pre-Seed  ·  AI & ML  ·  eCommerce

Wear it before
you buy it.

Innovation Beyond Intelligence

Intellaris uses machine learning to power hyper-realistic virtual try-ons for clothing brands — slashing returns, boosting confidence, and turning browsers into buyers.

Request Investor Deck See How It Works
Midnight Blazer
$189 · Slim fit
Sage Wrap Dress
$145 · Regular
Camel Overcoat
$295 · Oversized

Midnight Blazer — Your Fit

ML model analyzed your measurements and selected Slim Fit / Size M. Predicted drape and silhouette rendered in real-time.

Fit confidence: 87% match
−34%
Return likelihood
2.1×
Add-to-cart rate
98ms
Render time

Returns are killing margins.

Fashion eCommerce loses over $218B annually to returns. The root cause? Shoppers can't tell how something will actually fit or look on their body.

❌ Without Intellaris

  • Customers buy multiple sizes to try at home, returning most
  • Flat product photos give zero sense of fit or drape on a real body
  • Average eCommerce return rate for apparel sits at 30–40%
  • Logistics, restocking, and resale losses erode unit economics

✓ With Intellaris

  • Shoppers see exactly how the garment fits their unique body shape
  • ML-powered fit scoring removes size uncertainty before checkout
  • Early pilots show up to 34% reduction in return rates
  • Higher purchase confidence lifts conversion by 2× or more

Try-ons powered by deep learning.

A lightweight SDK that drops into any eCommerce storefront. No 3D scanning. No app download. Just a camera and our model.

🧠
Body-shape ML model
Our proprietary model infers body proportions from a single photo or stored size data — no sensors required. Trained on 2M+ body scans across diverse demographics.
98ms render latency
Garment rendering runs at edge speed — no perceptible load time, no friction in the purchase flow.
🔌
One-line SDK
Shopify, WooCommerce, and headless storefronts supported. Integrate in under a day with our REST API + JS widget.
📊
Returns analytics dashboard
Real-time metrics on try-on usage, fit score distributions, and return prediction by SKU. Actionable data for your merchandising team.
🌍
Built for diverse bodies
Size-inclusive training data across XS–5XL. The model performs equally well across all body types — not just straight sizes.

Numbers that matter to investors.

We're pre-seed, but we've been moving fast. Here's where we stand.

3
Pilot partners in talks
↑ Active conversations
−34%
Return rate in prototype tests
↑ vs. baseline
$218B
Annual returns market
↑ Addressable loss
98ms
Avg. model inference time
↑ Edge-optimized

Built by people who know this space.

Our founding team brings together expertise in AI, operations, and product growth.

AS
Anthony Shipman
Co-Founder & CEO
I’ve always believed that innovation is what redefines and shapes the world around us. It’s what shifts our perspectives while inspiring a recurring loop of creativity.
eCommerceProductGTM
JM
Jacob Mendoza
Co-Founder & COO
Technology has advanced too far to lack transparency between businesses and consumers. My goal is to strengthen that relationship through better insights.
Computer VisionPyTorchEdge ML
KM
Kevin Martell
Co-Founder & CPO
Insert a brief bio here describing their technical background and what drives their passion for building in this specific industry.
Full StackInfrastructure
AT
Anthony Taylor
Dir. Data Strategy
Data is the Lifeblood of business insights. I've spent my career turning information into actionable insights.
PytorchSQL
For Investors

Ready to back the
future of fashion?

We're raising our pre-seed round. Request our pitch deck or schedule a call with the founders to learn more.

Or reach us directly at inquiries@intellarisco.com