Work
What gets built here, and what's already shipped.
Real case studies, not a service menu — plus the range of product types this covers.
Capabilities
What gets built here.
AI Products
AI agents, copilots, intelligent workflows and AI-powered applications.
SaaS Prototypes
Turn a SaaS idea into a working product that can be demonstrated and tested.
Business Automation
Replace manual workflows with AI-powered tools and automation.
AI Internal Tools
Custom tools for sales, operations, support, analytics and internal teams.
WhatsApp and Conversational AI
AI-powered customer engagement and automated workflows.
Rapid Product Prototypes
Build and test product ideas before investing heavily in a full engineering team.
Proof of Work
Not just talk about products. Built ones.
Two products built end-to-end — from an undefined problem to working software.
InZob
AI-powered business and healthcare engagement platform
Problem
Businesses and healthcare providers were losing leads and patients to slow, manual follow-up — enquiries came in across channels and nobody had a consistent way to respond, qualify, and stay engaged.
Product Thinking
The product needed to combine conversational AI with real workflow automation, not just a chatbot. That meant defining how AI agents should hand off to humans, how conversations become structured data, and how follow-up should be triggered automatically instead of manually.
What Was Built
- AI-powered conversations across web and messaging
- AI agents for lead and patient qualification
- WhatsApp engagement and automated messaging
- CRM workflows for tracking conversations and status
- Appointment scheduling and automation
- AI-generated insights from conversation data
- Automated follow-up sequences
- Conversation intelligence and analytics
Resulting Product
A working platform where AI agents handle first-touch engagement, qualify intent, and automate follow-up — turning scattered conversations into a structured, trackable pipeline.
FundReap
Built from idea to working application
Problem
The starting point was a raw idea, not a spec — the challenge was figuring out what the product actually needed to do before writing a single line of code.
Product Thinking
Discovery came first: mapping the core user workflow, deciding what belonged in a first version versus later iterations, and choosing an architecture that could support a real SaaS product rather than a throwaway demo.
What Was Built
- End-to-end product discovery and scoping
- Core user workflows and application UX
- SaaS application architecture
- Full application development
- AI-assisted development to move from concept to working software faster
Resulting Product
A working application built from a single idea through to a functioning product — demonstrating the same discovery-to-build process used for client projects.
More products built
DiveGrow
Another product built from idea to working software.
Full case study coming soon.
Zimove
Another product built from idea to working software.
Full case study coming soon.
Your idea doesn’t need to stay in your head.
Share what you want to build. It’ll get reviewed, with a clear read on what the first version should look like.