Products people actually use, at the quality your brand deserves.
We design and engineer the web, mobile and SaaS products that carry the customer experience — with discovery discipline, craft and engineering rigor at every step.
Executive summary
Digital products have become the surface where most customers experience the business. When the product is good, everything downstream — acquisition, retention, support, revenue — gets easier. When it is not, the rest of the operation compensates.
Laminin's Digital Products practice takes products from concept to production and beyond. We combine product strategy, discovery and research, design and design systems, and full-stack engineering — with the same team accountable for outcomes.
We work with product leaders in growth-stage companies scaling their platforms, and with established enterprises modernizing customer- and employee-facing systems.
The problems we address
Products shipping features faster than they ship value
Roadmaps that move, metrics that don't. Usually a discovery problem, not a velocity problem.
Design that has not kept pace with the brand
The product feels older, cheaper or more generic than the company it represents.
Engineering-heavy products with weak product craft
Strong technology, weak fit — and customers who describe the experience with polite frustration.
Design systems that started well and stalled
Fragmented components, inconsistent implementation, and a team unsure how to reset without stopping delivery.
Legacy products blocking a modern proposition
The product needs to be re-platformed and rebranded without breaking the customers who already use it.
SaaS platforms with commercial ambition ahead of product foundations
Multi-tenant, enterprise, self-serve — three different products masquerading as one.
What Laminin does
Product strategy and discovery
Product vision, positioning, problem framing, and continuous discovery that finds the work worth doing.
UX research
Foundational and evaluative research, ops-friendly research programs, and evidence that carries decisions.
UX/UI design and design systems
Interaction and interface design at production quality, and design systems engineered for scale and change.
Product engineering
Full-stack engineering for web, mobile and SaaS — with the practices that let products keep improving after launch.
Product optimization
Experimentation, activation, retention and monetization work grounded in behavior, not opinion.
Legacy product modernization
Re-platforming and re-designing without breaking existing customers — phased, evidence-driven, measured.
Ten product disciplines
One team, one accountability — composed to fit the product problem.
Product Strategy
Vision, positioning and the shape of the product portfolio.
Product Discovery
Continuous discovery that isolates the work worth doing.
UX Research
Evidence-led research embedded in product decisions.
UX/UI Design
Interaction and interface design at production quality.
Product Engineering
Full-stack engineering with practices designed for change.
Design Systems
Component libraries, tokens and governance that scale.
Web Applications
Complex web products with performance and accessibility built in.
Mobile Products
Native and cross-platform mobile products designed for their context.
SaaS Platforms
Multi-tenant, enterprise and self-serve architectures.
Product Optimization
Experimentation, activation, retention and monetization work.
Four phases from concept to compounding product
Discover
Problem framing, research and product definition anchored in evidence.
Design
Interaction, interface and system design at production quality.
Build
Engineer for change — architecture, testing and delivery practices that let the product keep improving.
Evolve
Measure, learn and iterate against outcomes — the phase where products earn their place.
The product stack we work in
Selected per product — team fit and long-term operability come first.
- FrontendReact, Next.js, Remix, SvelteKit and framework-appropriate choices — with accessibility and performance built in.
- MobileSwift and SwiftUI, Kotlin, React Native and Expo — chosen by product context, not preference.
- BackendNode/TypeScript, Python, Go — API-first, event-aware and testable by default.
- DesignFigma, tokenized design systems, code-connected components and shared libraries between design and engineering.
- ResearchFoundational and evaluative methods, unmoderated and moderated at scale, with lightweight repositories.
- ExperimentationFeature flags, A/B and multivariate frameworks, and analytics stacks tied to product decisions.
- DeliveryTrunk-based development, CI/CD, progressive delivery, and product-shaped teams accountable for outcomes.
Related industries, work and insights
Relevant industries
Related work
Questions product leaders ask us
Do you take products end-to-end, or plug into an existing team?
Both. We often own a discrete product surface end-to-end while embedding alongside client product and design teams elsewhere.
How do you avoid the classic agency handoff problem?
Product, design and engineering sit in one team with shared outcomes from discovery through operate. There is no throw-over-the-wall.
Where does this capability meet AI?
Frequently. AI-first product surfaces need discovery, design, engineering and governance in the same conversation. We bring the AI practice in when the product warrants it.
Do you build design systems as a standalone engagement?
Yes — usually paired with at least one real product surface, so the system is tested in production rather than in isolation.
Have a product moment you can't afford to get wrong?
A launch, a re-platform, a redesign, a scale-up. Tell us the moment, and we'll shape the team around it.