AI engineered aroundreal business problems.
We design and build AI products, platforms and workflows that cut operational work, sharpen decisions and create experiences that weren't possible before. We start with the problem, not the model.
Solutions shaped around the problem they solve.
B2B platforms, operational automation and consumer products. Each one uses AI differently, because each problem needs a different kind of intelligence.
Automating the front office of field-service businesses.
- Voice AI
- Customer reactivation
- Booking automation
Bringing intelligence and consistency into every interview.
- Interview intelligence
- Real-time assistance
- Candidate assessment
One evidence base across every interview round.
Case study →Turning product photography into an on-demand creative workflow.
- Generative images
- Brand intelligence
- Creative automation
Campaign imagery without a new photoshoot.
Case study →Helping couples move from conflict toward clearer conversations.
- Conversation understanding
- Perspective summaries
- Guided reflection
Replacing manual price hunting with one AI shopping assistant.
- Conversational commerce
- Visual search
- Product recognition
Discovery, comparison and trust in one journey.
Case study →Complex wellness products made easier to compare, and the catalogue easier to scale.
- Product data extraction
- Specification mapping
- AI recommendations
From manual data entry to automated ingestion.
Case study →Turning fragmented medical records into one continuous health journey.
- Report summarisation
- Information extraction
- Historical comparison
Records, review and AI insight in one place.
Case study →Turning computer vision into a commercially scalable consumer experience.
- Computer vision
- Facial analysis
- Personalisation
Turning everyday parenting moments into personalised character calls.
- Generative scripts
- AI voice
- Contextual personalisation
Personal calls at scale, no recordings needed.
Case study →Different problems need different kinds of intelligence.
Across our work, AI plays five distinct roles. Select one to see the projects where we've used it.
From AI opportunity to production system.
A useful AI product takes far more than a model integration.
Find the right problem
We start with the workflow or constraint and find where intelligence would materially improve it.
Design it into the product
What the AI knows, when it acts, where a person stays involved and how results appear.
Engineer the whole system
Data, integrations, interfaces, permissions, infrastructure and monitoring, built as one.
Validate and improve
Testing, quality control and fallbacks, because AI output is probabilistic.
Automation should remove work, not judgement.
In healthcare, recruitment, relationships and other sensitive areas, we design the line between AI assistance and human decisions on purpose.
Decisions where context, professional judgement or personal choice matters.
The technology behind the work.
Generative AI, machine learning, computer vision and intelligent automation, chosen for the problem rather than forced onto one stack.
Generative AI
OpenAI
Gemini
Claude
Nano Banana
LLM apps
AI applications
RAG
AI agents
MCP
LangChain
Conversational AI
Intelligent automation
Voice AI
ElevenLabs
Speech generation
Conversational voice
AI calling
Machine learning
TensorFlow
PyTorch
ML Kit
NLP
Neural networks
Computer vision
MediaPipe
Facial analysis
Image understanding
Visual search
Product engineering
Next.js
React
Flutter
Node.js
Python
PostgreSQL
AWS
AI expertise connected to product and engineering.
Use case first
We define what needs to improve before choosing how AI is used.
The complete product
Models, software, UX, data and infrastructure as one solution.
Built for adoption
Great models fail inside hard-to-use workflows. We design for both.
Production ready
Security, scale, monitoring and human oversight from day one.
Technology agnostic
The right model or framework for the problem, not a favourite stack.
Have a problem AI could solve?
You don't need a model or a spec. Tell us what takes too long, costs too much or holds the business back, and we'll show you where AI can create real value.