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Our stack

Mastery across the modern commerce stack.

We don't chase trends. We use what works — and we've shipped production systems with every one of these.

Commerce stack

Commerce platforms.

Deep, hands-on expertise with every major commerce platform — from D2C storefronts to enterprise B2B catalogs.

Shopify Plus

Shopify Plus

HydrogenLiquidPolarisShopify FunctionsStorefront APICheckout Extensibility
Magento / Adobe Commerce

Magento / Adobe Commerce

PHPAdobe SenseiPWA StudioMagento 2 ORMBulk APIsGraphQL Storefront
Salesforce Commerce Cloud

Salesforce Commerce Cloud

SFRAComposable StorefrontEinsteinISMLOCAPIService Cloud
BigCommerce

BigCommerce

StencilGraphQL StorefrontCatalystMulti-Storefront APIB2B Edition
Oracle NetSuite

Oracle NetSuite

SuiteScriptSuiteCommerceSuiteCloudSuiteFlowERP Integrations
WooCommerce

WooCommerce

WordPressWPGraphQLREST APICustom PluginsHeadless Sync
Where Destm actually wins

Custom & proprietary retail codebases. That's where we actually win.

The 6 platforms above are table stakes — every commerce shop claims them. The hard problems live deeper: bespoke in-house commerce stacks at established US retailers across gifting and fashion · custom OMS and inventory cores · JVM monoliths older than most engineers on the team · proprietary frontends with 15 years of business logic baked in.

Off-the-shelf is one path. The right answer for established retailers is usually the stack you already own — modernized, AI-augmented, kept alive. We've been doing this work for over a decade.

12+

Years on legacy stacks

JVM

Java + Spring fluent

Enterprise

Retail codebases modernized

Engineering stack

The tools behind the platforms.

Six disciplines. 40+ technologies. Every one battle-tested in production commerce systems.

AI / ML

6 tools

Models that train on YOUR data — not generic datasets.

OpenAI
Anthropic Claude
PyTorch
LangChain
Hugging Face
scikit-learn

Frontend

5 tools

Server-rendered where it matters, interactive where it counts.

Next.js
Astro
React
TypeScript
Tailwind CSS

Backend

5 tools

Service shape picked for the workload — not the resume.

Node.js
Python
Java / Spring Boot
Rust
Go

Mobile

4 tools

One codebase when it earns its keep — native when it doesn't.

React Native
Flutter
Swift (iOS)
Kotlin (Android)

Cloud + DevOps

6 tools

Multi-cloud fluent · IaC by default · FinOps as a release gate.

AWS
Google Cloud
Azure
Kubernetes
Terraform
GitHub Actions

Data

6 tools

Pipelines that survive a year in production — not a demo.

PostgreSQL
Snowflake
BigQuery
Airflow
dbt
Kafka

How we pick the stack

No religion about tools. Strong opinions about fit.

Every tool below earned its place by shipping in production — across multi-million SKU catalogs, real-time pricing engines, and AI workloads that actually move revenue.

Production-tested

Every stack here has shipped client work — not POCs, not weekend explorations. The criteria is what survived a year in production.

Maintainable by your team

We pick stacks your engineers can pick up on day one. Hiring pool matters. Documentation matters. Ecosystem matters.

Composable, not locked-in

Headless-first, API-first, swap-friendly. We build so the next vendor decision is yours to make, not forced by architecture.

Right tool, not the new tool

If Postgres beats a vector DB for your scale, we ship Postgres. If a Lambda beats a Kubernetes job, we ship the Lambda. Fit over fashion.

Across our work

The stack runs in production

13

years operating

100+

engineers

4

products in the iQ Suite

Need a specific technology?

If it powers commerce, we've probably shipped it. Tell us about your stack and we'll show you how we can help.