Semantikalwe speak product

Semantikal · we speak product

Your products already speak a language.
Semantikal turns it into structure.

Semantikal learns the vocabulary of your catalogue, your store and your market, then turns messy product data into structured product intelligence — built around how your products are actually described and sold.

Chesterfield just SofaBourbon just CoffeeGravel Bike just BicycleLehenga Choli just Clothing

Generic systems know the category. Semantikal learns the vocabulary.

Your catalogue knows more than your product data does.

Product knowledge is scattered across titles, descriptions, vendors, collections, SKUs and the language of your market. Conventional systems flatten that meaning into predefined fields and categories.

Hand tuftedBourbonLinen blendGravelChesterfieldLehenga CholiSingle originBoucléZariEndurance
FurnitureCoffeeBicyclesClothing

The data fits. The meaning doesn't. Semantikal is built to preserve both.

From catalogue chaos to a vocabulary you can use.

01

Understand

Discover the language.

Semantikal examines the information already in your catalogue and store to identify the terminology, distinctions and attributes that matter.

02

Structure

Build the taxonomy.

It organises that vocabulary into a coherent system of product types, attributes, roles and allowed values.

03

Apply

Use it consistently.

Once the meaning is established, Semantikal combines semantic intelligence with deterministic logic to apply that structure at catalogue scale.

AI for meaning.
Logic for scale.

Semantic intelligence understands the product.Logical rules apply that understanding consistently.

Semantikalwe speak product

One generic category. A very different vocabulary.

CoffeeFood & Beverage → Coffee
BourbonTypicaGeshaNaturalWashedHoney ProcessSingle Origin
FurnitureFurniture → Sofas
ChesterfieldLawsonTuxedoModularChaiseBoucléTufted
CyclingSporting Goods → Bicycles
GravelEnduranceAeroHardtailFull SuspensionCarbonElectronic Groupset
FashionApparel & Accessories → Clothing
Lehenga CholiAnarkaliKaftanGhararaChanderiZariBanarasi

The vocabulary changes. The problem doesn't.

Turn what you already have into what your catalogue needs.

Before
TitleEthiopia Guji Natural Bourbon Light Roast 250g
VendorExample Roasters
DescriptionSingle-origin Ethiopian coffee from Guji. Natural processed Bourbon varietal…
CollectionSingle Origin
Structured result
OriginEthiopia
RegionGuji
VarietalBourbon
ProcessNatural
RoastLight
Pack Size250g
TypeSingle Origin

The information was already there. Semantikal made it usable.

Not another generic taxonomy.

Three ways to describe the same product — at increasing resolution.

Generic taxonomy

Useful for universal classification.

“This is clothing.”

Generic AI tagging

Can interpret an individual product.

“This looks like a bridal outfit.”

Semantikal

Builds and applies the vocabulary of your business.

“For this catalogue, this is a Lehenga Choli, with these attributes, using these allowed values.”

Classification is universal. Commerce is specific. Semantikal connects the two.

Your taxonomy. Not ours.

Semantikal suggests the structure — you own the vocabulary. The intelligence adapts to your business, rather than forcing your business to adapt to it.

  • Review it
  • Edit it
  • Add to it
  • Consolidate it
  • Refine it
  • Create variants for different catalogues or markets

Use AI. Don't pay us a markup on it.

Semantikal is a software subscription — not a reseller of your AI usage.

Bring your own key

Your AI account. Your usage.

Flat subscription

No hidden AI margin.

AI where it matters

Logic where it doesn't.

Built for catalogues where the details matter.

01One catalogue

Build your product language.

02Multiple catalogues

Adapt it across brands, markets and product ranges.

03Multiple clients

Manage distinct product languages without starting again.

Understand once. Apply consistently.

Your catalogue already contains the knowledge.
Give it structure.

Semantikal turns the language of your products into a taxonomy you can own, refine and apply at scale.

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Semantikal. We speak product.