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
Magento / Adobe Commerce
Salesforce Commerce Cloud
BigCommerce
Oracle NetSuite
WooCommerce
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 toolsModels that train on YOUR data — not generic datasets.
Frontend
5 toolsServer-rendered where it matters, interactive where it counts.
Backend
5 toolsService shape picked for the workload — not the resume.
Mobile
4 toolsOne codebase when it earns its keep — native when it doesn't.
Cloud + DevOps
6 toolsMulti-cloud fluent · IaC by default · FinOps as a release gate.
Data
6 toolsPipelines that survive a year in production — not a demo.
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.