Services

AI-Powered Apps

Mobile apps with intelligence built in

We build apps that use AI for what it is actually good at — recommendations, language understanding, image recognition and predictions that make the app smarter with use.

On-device and cloud AI models
Personalised recommendations
Natural language understanding
Computer vision and image recognition
Predictive analytics and insights

What this engagement covers

Scoped to your situation — we start with what you already have rather than a fixed package.

Recommendations

Personalised content, product and action suggestions based on behaviour and preferences.

NLP

In-app search, chatbots, sentiment analysis and text classification.

Vision

Photo classification, object detection, OCR and barcode scanning using on-device models.

Predictions

Demand forecasting, churn prediction and anomaly detection from your app data.

Small first, then scale what works

Six stages, with a decision point after the pilot. Nothing grows until it has shown value.

01
Workflow Audit
Understand the current manual process, systems, users, inputs and outputs.
02
Architecture
Choose the smallest practical automation architecture.
03
Pilot
Build one usable workflow.
04
Integration
Connect APIs, browser workflows, internal tools, databases, AI models or third-party systems.
05
Validation
Test reliability, edge cases, user approval and expected output.
06
Scale
Expand only after the pilot demonstrates value.

What you get

iOS and Android apps with AI features
Model training and deployment pipeline
Analytics on AI feature usage and accuracy
Documentation and model update process

Tools we reach for

Chosen per project, not per habit. If your team already runs something that works, we build on it.

React Native
Core ML
TensorFlow Lite
Python
Node.js
AWS SageMaker

FAQ

AI-Powered Apps — common questions

Both. Lightweight models run on-device for speed and privacy; heavier inference goes to cloud APIs. We choose based on latency, cost and data sensitivity.