Capabilities
What we build
Generative SaaS products
Prompt-driven generation wrapped in a real product: accounts, history, library, playback and download.
Credits & subscriptions
SaaS monetisation with credits, subscriptions and usage limits.
Multi-LLM apps
Products that combine Claude, Gemini and Grok, each used where it is strongest.
AI analysis & scoring
AI interviews, resume analysis and performance analysis that turn conversations into decisions.
AI copilots
Real-time assistants with live transcription, suggestions and automated follow-ups.
Delivered work
Built by us
AI music startup (name under NDA)
A Suno-style AI music generation SaaS
Turn text prompts into songs inside a product people subscribe to.
What we built
- Music generation from text prompts
- Accounts, generation history and library
- Playback and download
- Subscription and credits model with usage limits
- React / Next.js
- Node.js / Python API
- Music generation model API
Outcome: A full SaaS-style AI music product.
EdTech product (name under NDA)
A multi-LLM interview preparation app
Help candidates practise interviews and understand how they performed.
What we built
- Guided interview preparation
- Response and performance analysis
- Claude, Gemini and Grok combined
- React
- Node.js
- Claude
- Gemini
- Grok
Outcome: Working AI interview-prep and analysis tool.
Process
How a project runs
01
Free discovery call
02
Fixed-scope quote
03
Design & build in two-week sprints
04
Launch & ongoing support
MVPs typically take 6 to 12 weeks; larger platforms 3 to 6 months.
Tech Stack
Built with
- React
- Next.js
- Node.js
- Python
- OpenAI
- Anthropic Claude
- Google Gemini
- Grok
- LangChain
- Vector databases
Frequently Asked
Questions
Can you build an AI SaaS MVP from an idea?
Yes. We build the whole product: model integration, accounts, billing and credits, history and the UI. Not only the AI call.
Which AI models do you use?
We are model-agnostic. We have shipped products on Claude, Gemini, Grok and OpenAI, and combine several where that gives better results.
How do you handle usage and billing?
With subscriptions, credits and usage limits built into the product, so AI costs stay tied to what customers pay.
How long does an AI SaaS MVP take?
Usually 6 to 12 weeks for an MVP, depending on scope. Larger platforms take 3 to 6 months. We quote fixed scope after a free discovery call.
Do you work with US founders?
Yes. US founders are a primary market; the company is registered in New Zealand and works with US clients remotely on fixed-scope projects.
Can we see what you've built?
Our clients are under NDA, so we demo the products on a live call.