Healthcare AppMediTrack
Mobile health tracking app with AI-powered insights
AI development and automation that does real work, not demos
We build AI into products where it earns its place: assistants that answer from your own data, document workflows that run without copy-paste, and automations that take repetitive work off your team.
Overview
Start from the task, not the technology
It is easy to build an impressive AI demo and hard to build one that is right often enough to trust. The difference is engineering: grounding answers in your own data, measuring quality instead of guessing at it, and designing for the moments when the model is wrong.
We start from the task. Sometimes the answer is a language model; sometimes it is a simple rule or a scheduled job that costs a fraction as much. We will tell you which, and build the one that works.
Technologies we use
- OpenAI
- Python
- LangChain
- Vector Databases
- Node.js
- AWS
What's included
AI & Automation: what's included
Every engagement is scoped up front, so you know exactly what is being delivered before work starts.
AI-powered features
Search, summarisation, drafting and recommendations built into your existing product.
Chatbots & assistants
Assistants that answer from your documentation and data, cite their sources, and hand over to a person when they should.
Retrieval over your data
Vector search and retrieval pipelines, so answers come from your content rather than the model's memory.
Workflow automation
Document processing, data entry and routing jobs that run without manual steps.
Evaluation & guardrails
Test sets, quality metrics and safety checks, so you know how well it works before your users do.
Cost & speed tuning
Model choice, caching and prompt design to keep response times and bills in check.
Where it fits
Where AI and automation pay off
Customer support assistants
Answering common questions from your help content, and routing the rest to the right person.
Internal knowledge search
One place to ask questions across documents, tickets and wikis.
Back-office automation
Extracting data from invoices, forms and emails into the systems that need it.
Selected work
Recent AI and automation work
Consumer App
Culinary AI
AI recipe generator personalized to your dietary preferences
Insights
Reading on AI and automation
· 4 min read
RAG Explained for Product Teams
Do we need AI, or just automation?
Often just automation. If a task follows clear rules, a conventional workflow is cheaper, faster and more predictable than a language model. AI is the right tool when the input is unstructured — free text, documents, conversations. We scope both options honestly.
Is our data safe when using AI models?
We design for that from the start: choosing providers and settings that do not train on your data, keeping sensitive information out of prompts where possible, and hosting models privately when the data requires it.
How do you make sure the AI gives correct answers?
By grounding it in your own content, testing it against a set of real questions with known answers, and building in fallbacks for when it is unsure. No system is right every time, so we also design how it fails.
Related services
Often paired with AI and automation
Custom Software Development
SaaS platforms, web applications and internal tools, built end to end.
Web Development
Web applications, customer portals and marketing sites, built and launched end to end.
Technical Consulting
Architecture reviews, code audits and technology decisions.
Have a project in mind?
Tell us what you're building and we'll come back with a scope, a timeline and a fixed price.