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Marka Modern Retail Private Limited

We build the
apps
modern brands
run on.

House of Marka is the engineering studio of Marka Modern Retail Private Limited. Applied AI, native apps and the marketplace infrastructure that connects merchants to every channel worth selling on — for teams in the United States, United Kingdom and Europe.

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Channels we integrate every week

AmazonShopifyeBayWalmartEtsyZalandoOttoAllegroCdiscountbol.comTarget PlusTikTok ShopWayfairFaireMiraklRakutenAmazonShopifyeBayWalmartEtsyZalandoOttoAllegroCdiscountbol.comTarget PlusTikTok ShopWayfairFaireMiraklRakuten

0+

Products shipped

0

Countries served

0 yrs

Average senior tenure

<0 wks

Typical time to first release

Platforms we build on

AmazonShopifyWalmartTikTok ShopZalandoMiraklMicrosoft AzureStripeSalesforceeBayOttoAkeneo

US · under NDA

D2C beauty retailer

9-figure revenue

UK · under NDA

Home & lifestyle group

40k-SKU catalogue

DE/NL · under NDA

Payments scale-up

2M+ app users

IT/FR · under NDA

Fashion wholesaler

6 export markets

US · under NDA

B2B SaaS platform

Series C

EU · under NDA

Marketplace operator

Mirakl-powered

Most engagements are covered by NDAs — named references are available on request, sector-matched to your project.

Who we are

A studio, not a body shop.

House of Marka is the engineering studio of Marka Modern Retail Private Limited. We are a small team of senior engineers, designers and AI specialists who take responsibility for outcomes rather than tickets — and who will tell you when the thing you asked for is not the thing you need.

Discovery & architecture

Two to three weeks that decide whether the next six months are worth spending.

Design

Interface, motion and brand systems that survive contact with real users.

Engineering

Small senior teams. Weekly releases. No hand-offs to a team you have not met.

Integration

The unglamorous plumbing between your systems and everyone else’s.

Operations

We keep what we build running, against response-time SLAs agreed before launch.

Advisory

AI strategy, technical due diligence and build-vs-buy calls, without an agenda.

What we do

Seven practices. One accountable team.

Most of our work sits where these overlap — a Shopify app that needs real AI inside it, or a marketplace integration that has to survive a Black Friday.

Shopify

Shopify apps & themes, built like products

Public and private Shopify apps, checkout extensions and conversion-focused themes — including our own three App Store apps. Built to pass app review the first time, and to survive theme updates after it.

  • Public & private app development — Remix, Polaris, App Bridge
  • Theme building, customisation and Online Store 2.0 migrations
  • Checkout UI extensions and Shopify Functions
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Research & Consulting

Answers with evidence attached

Extensive research and advisory for US, UK and European teams: market-entry studies, AI readiness, vendor bake-offs, technical due diligence. Every study ends in a ranked backlog with honest costs — from a team willing to build what it recommends.

  • Market-entry and competitor research with unit economics
  • AI readiness audits and EU AI Act compliance sprints
  • Vendor selection and procurement bake-offs
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Automations

Work that runs while you sleep

Agentic and deterministic automation across operations — document intake, reconciliation, triage, reporting. A two-week ROI audit ranks the opportunities; then we build the top of the list with guardrails and logs a lawyer can read.

  • Automation ROI audits with ranked registers
  • Agentic workflows with human approval gates
  • Document intake, matching and reconciliation
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Applied AI

AI systems that do real work

Agents, retrieval pipelines, evaluation harnesses and human-in-the-loop workflows built on frontier models. Not demos — systems with guardrails, cost ceilings and measurable accuracy.

  • Autonomous agents with tool use and approval gates
  • RAG over private documents, catalogues and support history
  • Model evaluation, red-teaming and regression suites
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Product Engineering

Apps people actually keep

Native iOS and Android, React Native, and web platforms. Designed and built by one team, from first wireframe to store release and the boring parts after it.

  • Native Swift & Kotlin, React Native, Flutter
  • Next.js and React web platforms at scale
  • Design systems, motion and accessibility (WCAG 2.2 AA)
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Commerce Systems

Merchants connected to every channel

One catalogue, one inventory truth, every marketplace. We build and operate the integration layer that keeps listings, stock, pricing and orders in sync.

  • Marketplace listing, inventory and order sync
  • Shopify, Magento, BigCommerce and headless builds
  • PIM, ERP and 3PL integration
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Commerce infrastructure

Sell everywhere. Manage it in one place.

We connect merchants to the marketplaces their customers already shop on — and keep inventory, pricing, content and orders reconciled across all of them, in near real time.

Your catalogue

One source of truth

Stock · Pricing · Content · Orders

Zalando
Otto
Allegro
bol.com
Cdiscount
TikTok Shop
Amazon
Shopify
eBay
Walmart
Etsy

What clients say

The part that surprised us was how boring it became. Nothing fights us any more.

Head of E-commerceHome & lifestyle groupCase study

How we work

Predictable, in a category that usually isn’t.

01

Scope

A short paid discovery. You leave with an architecture, a plan and a fixed price — whether or not you build it with us.

02

Prototype

Working software in weeks, not slideware. We prove the risky part first, on purpose.

03

Build

A senior pod of three to six people. Weekly demos, a shared board and direct access to the people writing the code.

04

Operate

Launch is the middle, not the end. We monitor, patch, iterate and report against agreed SLAs.

Applied AI

We use frontier models the way a craftsman uses a good tool.

Quietly, and only where it earns its place. Our teams work daily with the current generation of reasoning and multimodal models — including Claude Opus-class systems for deep engineering work and fast models for high-volume tasks — with evaluation harnesses that tell us when a model is the wrong answer.

Evaluation before enthusiasm

Every AI feature ships with a test set, a baseline and an accuracy target. If it cannot beat the existing process, we say so.

Guardrails by default

Approval gates on anything that spends above an agreed threshold or changes a customer record.

Cost as a design constraint

Model routing, caching and distillation so unit economics survive scale.

Your data stays yours

No client data used to train general-purpose models. EU and US residency options. Full DPA coverage.

Questions

The ones we get asked first.

Discovery is a fixed fee. Build work is either fixed-price against an agreed scope or a monthly pod rate, depending on how well-defined the problem is. We will tell you which one fits — and we will say so when the answer is neither.

Next step

Tell us what you are trying to build.

A short call, a written view on whether we are the right studio for it, and a plan you can act on either way.