New product foundations
Next.js and React applications with accessible interfaces, clear component boundaries, dependable data contracts, and architecture suited to the product.
Services
Engineering depth, where the work demands it.
Commerce is our deepest specialization. Product Engineering and AI & Automation extend the same senior-led practice to modern products and practical systems, with direct access to senior engineering throughout.
Deep specialization
Commerce
Modern customer experiences for commerce systems carrying years of business logic.
We work across Magento backends, GraphQL integration layers, and React or Next.js storefronts—modernizing the customer experience, upgrading the platform, or evolving a live system without interrupting operations.
OperationsMagentoCatalog · checkout · orders
ExperienceModern storefrontGraphCommerce · React · Next.js
Platform work
- Magento modernization and upgrades
- Headless and GraphCommerce storefronts
- Payments, shipping, and marketplace integrations
Engineering work
- Storefront and application performance
- GraphQL and third-party integration design
- Ongoing engineering for complex estates
Headless is an architectural choice, not an automatic answer. The right approach depends on the platform, team, operational constraints, and the customer experience that needs to improve.
Commerce engineeringProduct systems
Product Engineering
Coherent digital products, from interface and rendering strategy to APIs and production integration.
Existing product systems
Improve performance, untangle frontend architecture, and replace brittle parts in stages when a wholesale rewrite creates more risk than value.
- InterfaceDesign systems · accessible UI · interaction
- ApplicationReact · Next.js · rendering architecture
- IntegrationAPIs · GraphQL · reliable contracts
Practical systems
AI & Automation
Use AI where it improves a product or operation—and engineer the system around it for change, review, and failure.
We connect models to real product context and workflows without treating a prototype as finished infrastructure. The work starts with the problem, the available data, and the boundary between automation and human judgment.
- Product features
- Search, summarisation, assistants, and LLM integrations grounded in the product's context.
- Workflow automation
- Classification, routing, drafting, and agentic workflows with deliberate checkpoints where review matters.
- Prototypes
- Testable experiments to establish model fit and operational value before committing to production complexity.
How we work
Senior engineering. Direct collaboration.
The person shaping the architecture stays close to the product and the implementation. Fewer layers mean clearer tradeoffs, faster decisions, and shared context that lasts.
Talk to an engineer