Products designed for the AI era.
Great AI products are still great products. We pair product strategy and UX with senior full-stack and AI engineering to build applications people actually adopt. We add copilots, agents and generative features only where they bring real value.
2-week
Release cadence
Type-safe
End-to-end TypeScript by default
Accessible
WCAG 2.2 AA as a baseline
What is AI-native product engineering?
AI-native product engineering means designing software where AI capabilities such as natural-language interfaces, agents, personalisation and generative features are part of the core product architecture and user experience from the start, rather than added later. It requires new UX patterns for trust and control, and engineering for evaluation, latency and cost.
Design and build AI-native web and mobile products, from discovery and UX through to scalable full-stack engineering.
Our Product Engineering capabilities.
Product discovery & strategy
Problem framing, user research and roadmaps that tie features to outcomes.
AI UX & design systems
Interfaces for trust: citations, previews, undo, confidence and human control.
Full-stack web engineering
Next.js, React and TypeScript applications built for performance and SEO.
APIs & microservices
Contract-first APIs, event-driven services and scalable backends in Node, Python and Go.
Embedded AI features
Copilots, semantic search, summarisation and agents inside your product.
Quality engineering
Automated testing, performance budgets and AI evaluation in CI.
Where it pays back first.
High-value starting points we see across industries. We will help you rank them against your own data, systems and risk appetite.
01
SaaS copilots
In-product assistants that understand customer data and context.
02
Customer portals
Self-service experiences with conversational help.
03
Internal tools
Operational apps that put AI in employees' daily flow.
04
Legacy modernisation
Re-platform ageing applications to modern stacks.
A clear path to production.
Discover
Research users, define outcomes and shape the MVP.
Design
Prototype flows, test with users and build the design system.
Build
Ship in two-week increments with automated quality gates.
Grow
Measure adoption, iterate and scale the platform.
Tools we ship with.
Selected on merit for your context. We are model-, cloud- and vendor-agnostic.
- Next.js
- React
- TypeScript
- React Native
- Node.js
- Python
- Go
- GraphQL
- tRPC
- Postgres
- Redis
- Vercel AI SDK
- Playwright
- Figma
- Tailwind CSS
- Material UI
Product Engineering: your questions answered.
Our default stack is TypeScript with Next.js and React on the front end, Node.js, Python or Go services, Postgres, and cloud-native infrastructure, but we happily adapt to your existing standards.
Yes. We begin with a technical due-diligence review of architecture, code quality, security and delivery practices, then agree a stabilisation and modernisation plan.
Ready to put Product Engineering to work? Start with one workflow.
Book a 45-minute strategy session with a Vidura principal. You'll leave with a shortlist of high-ROI AI use cases, the risks to manage, and a realistic path to production.