About MC Lab

An independent, product-level AI shopping lab.

We are an independent four-person team of NYU and Royal College of Art graduates, combining quantitative rigor, AI experience, ecommerce practice and customer-centered design.

A compact team with complementary depth

AI × MATHEMATICS

Technical judgment

Long-term experience in AI algorithms and mathematical training helps us test systems carefully and interpret captured results responsibly.

ECOMMERCE

Commercial context

We translate candidate-set evidence into product and category decisions a Shopify merchant can prioritize and deploy.

SERVICE DESIGN

Buyer perspective

Service-design training keeps the work anchored in real shopping decisions, evidence and understandable deliverables.

NYU and RCA describe team members' educational backgrounds, not institutional affiliation.

Structured evidence. Clear next actions.

Product-specific testing, source comparison and deeper AI analysis lead to captured evidence, a failure-point diagnosis and source-ready actions your team can use.

One priority SKU. One diagnosed decision path. One focused change-and-retest plan.