Mobile app
Shoppers create an account, build a fit profile, save jeans they already understand, and check products they are considering.
Digital Model
Software product, not a service wrapper.
Foundiq is building and operating InseamIQ as a consumer mobile app with account-based fit memory, product data processing, recommendation logic, and feedback loops.
Business Model
Foundiq builds repeatable consumer software products.
The first product is InseamIQ: an app-first fit recommendation product for online apparel shoppers. The product is being developed as a scalable software system, not as consulting, agency work, affiliate content, or a manually delivered sizing service.
Software Layers
Product data
Product links and known fit context are normalized into structured inputs the recommendation flow can compare.
Recommendation logic
InseamIQ ranks likely starting sizes with confidence and risk language instead of presenting fit as a guaranteed answer.
Learning loop
Saved history and fit feedback are designed to improve future guidance while keeping trust and user consent central.
How A Check Works
Known fit
Brand, style, size, and simple fit verdicts from jeans the shopper already knows.
Target product
A pasted or shared product link for the pair the shopper is thinking of buying.
Fit comparison
Structured product data is compared against the shopper's own fit context.
Guidance
Ranked size suggestions, confidence level, and plain-English caveats.
Current Operating Status
Private MVP, public company domain.
The public domain is Foundiq's company and product presence. InseamIQ is currently in private MVP development before a broader consumer beta.
- Company site
- foundiq.uk
- Product
- InseamIQ
- Product type
- Consumer mobile app and cloud-backed software service
- Initial users
- Online apparel shoppers with recurring fit uncertainty
- Stage
- Android-first MVP, private testing