Digital Experiences Engineered Around Your Hardware
DNCL Technologies designs and builds the interfaces, mobile apps and web platforms that bring your product to life — designed by the same team that engineers your semiconductor and embedded systems, with Edge AI implementation built into every layer.
UI/UX Design
Human-centred design for products where the interface and the hardware have to work as one.
Research & Journey Mapping
Stakeholder interviews, user research and journey mapping that define what the product must do before a single screen is drawn.
Wireframes & Prototypes
Low-fidelity wireframes through to clickable, high-fidelity prototypes you can test with real users before development starts.
Device HMI & Touch Panels
Interface design for on-device displays, touch panels and industrial HMIs — built within real memory, resolution and CPU budgets.
Design Systems
Reusable component libraries, design tokens and accessibility standards that keep every screen consistent as your product grows.
Interfaces Designed Within Real Engineering Constraints
Most design agencies hand over screens that hardware teams cannot build. Because our designers sit beside the engineers writing your firmware, every interface we deliver respects the real constraints of your device — refresh rates, memory, processing headroom and power budget.
- Designs validated against actual device capability
- Accessibility and readability for industrial environments
- Design-to-firmware handover with production-ready assets
- Edge AI driven adaptive and predictive interfaces
App Development
Mobile and desktop applications that pair, provision, control and monitor your connected products.
Web Development
Web platforms, portals and real-time dashboards built to handle live device data at scale.
Websites & Web Platforms
Fast, responsive, SEO-ready corporate sites and product platforms engineered for performance on every device.
IoT Dashboards & Portals
Real-time monitoring dashboards for fleets of connected devices, with alerting, role-based access and historical analytics.
APIs & Cloud Backends
Secure REST and GraphQL APIs, device data pipelines and cloud deployment on AWS, Azure or GCP.
Security & Maintenance
Ongoing hardening, monitoring, performance tuning and long-term maintenance of everything we ship.
Intelligence That Runs On the Device, Not Just the Cloud
Edge AI is part of every service we deliver — from AI accelerator blocks inside your chip, to on-device inference in firmware, to the app and dashboard that surface the results. Running intelligence locally means lower latency, lower bandwidth cost and data that never has to leave the device.
- Model selection, quantisation and pruning for constrained hardware
- On-device inference with TensorFlow Lite, ONNX and Core ML
- NPU, DSP and AI accelerator integration at silicon level
- Computer vision, anomaly detection and predictive maintenance
- Sensor fusion and real-time signal intelligence
- Edge-to-cloud analytics surfaced in live dashboards
Our Process
A clear path from first conversation to a deployed, supported product.
Discovery
We map your users, your hardware and your business goals into a clear product definition.
Design
Wireframes, prototypes and a design system reviewed with you before any code is written.
Build
Agile sprints with working builds you can test, across app, web and device integration.
Integrate
Connectivity, Edge AI models and cloud services wired into the real hardware.
Launch & Support
Store deployment, cloud rollout, monitoring and long-term maintenance.
Digital Engineering FAQs
Common questions about our design and development services.