Custom software with intelligence designed in from day one

When an off-the-shelf tool does not fit, we design and build the product: user experience, web and mobile apps, back end, data pipelines and the AI models inside them. One team owns the whole product, from first wireframe to production support.

Product buildIllustrative
 
Platforms
Web · iOS · Android
Team
Design to DevOps
Ownership
Your source code
After launch
Support plans
Overview

Product craft and AI engineering in one team

iPixxel began as a digital product studio for web, mobile and UX design.

That background matters in AI work: the model is only part of the product. People also need clear interfaces, fast apps, reliable data and features that explain what the AI did. We bring all of these together.

Capabilities

What we build

Each engagement is shaped to your use case. These are the building blocks we combine most often.

Capability

AI-powered web applications

Dashboards, portals and SaaS products with search, assistants, forecasts and smart workflows built in.

Capability

Mobile apps with AI

iOS and Android apps with on-device and cloud AI, including voice, camera and personalisation features.

Capability

Predictive analytics and ML

Forecasting, scoring, churn and anomaly models trained on your historical data.

Capability

Computer vision

Image and video models for inspection, document capture, counting and safety monitoring.

Capability

Recommendation engines

Personalised products, content and next actions based on behaviour and context.

Capability

APIs and SaaS platforms

Multi-tenant platforms and AI APIs with billing, roles, monitoring and admin tools.

Use cases

Where teams use it

Work this service handles well. We help you pick the one with the clearest return to start.

Browse use cases by industry
  • Adding AI features to an existing SaaS product
  • Field inspection apps with image recognition
  • Demand forecasting for retail and distribution
  • Personalised learning platforms
  • Practice management software with smart scheduling
  • Risk and fraud signals for financial products
Technology

Tools we work with

We pick the stack for your requirements and existing systems. A sample of what we use regularly.

Front end
ReactNext.jsVueFlutterReact NativeSwiftKotlin
Back end
Node.jsPythonDjangoFastAPI.NETGo
Data and ML
PostgreSQLMongoDBPyTorchTensorFlowscikit-learn
Cloud
AWSAzureGoogle CloudDockerKubernetesCI/CD
Process

From first call to production

The same proven path for every project, sized to your scope.

01

Discover

Map the opportunity, the people involved and the outcome we will measure.

Output · Workshop
02

Define

Review data, workflows and systems, then agree architecture and scope.

Output · Plan and estimate
03

Prototype

Test the AI approach on your real data before building the full product.

Output · Working proof
04

Build and integrate

Develop in short sprints and connect to your systems, with demos every sprint.

Output · Production release
05

Launch and improve

Go live, monitor quality and cost, and improve based on real usage.

Output · Ongoing support
FAQ

Common questions

Can't find what you need? Ask us directly and we'll reply within one business day.

Ask a question
Do we own the source code?

Yes. On completion and payment, you own the source code, designs and documentation. We work in your repositories when you prefer.

Can you add AI to our existing product?

Yes. We often start with an architecture review of the current product, then add AI features through a separate service so the core application stays stable.

Do you support the product after launch?

We offer monthly support and improvement plans covering monitoring, bug fixes, model updates, security patches and new features.

Start a conversation

Tell us about the product you want to build, and we will outline the first release.

Book a free consultation with our AI team. You'll leave with a clear view of feasibility, approach and next steps.