NuDev · AI-Native Development Studio

What we do

Product Development

From rough concept to deployed product. We move fast through ideation, design, and build, compressing timelines that used to take months into weeks.

AI Integration

We don't bolt AI on at the end. We build it in from the ground up: intelligent assistants, automated workflows, and data-driven features that actually work.

Innovation Partnerships

Got an idea but not a spec? We sit with you, explore the problem space, challenge assumptions, and prototype until the right solution becomes obvious.

Agentic Systems

Autonomous agents, multi-step pipelines, and intelligent automation that works while you sleep. We build the systems that compound your capability.

How we work

Less process. More product. Fast by default.

Discover

We get into the problem, not just the brief. Fast, focused sessions to understand what you actually need to build.

Prototype

A real, clickable product in your hands in weeks. Real data, not mockups.

Build

Agentic coding flows mean we write better code, faster. No bloat, no padding, no unnecessary overhead.

Deploy & Iterate

Ship it. Learn from real usage. Iterate quickly. We stay close through launch and beyond.

Why NuDev

2–3weeks

from brief to working prototype. Months become weeks.

senior engineers. Zero middle management. Every engagement gets the real team.

legacy overhead. No entrenched processes. No inflated headcount to justify.

Every call, every commit, every decision, made by senior engineers who've shipped real products across fintech, biotech, IoT, and e-commerce.

Small teams, no layers of coordination, so your budget goes to building, not overhead. And because we work AI-native from day one, we deliver in weeks what traditional studios quote in quarters.

This is not the future. This is how we work today.

The team

Dino Kingsley-Rizzo

AI Systems & Full-Stack

MEng in Electrical Engineering from UCT, with a thesis on neural network modality matching in medical imagery. 5+ years of full-stack development across C#, Kotlin, TypeScript, PHP, and Flutter, with a tech-lead role on a major tourism platform and multi-year contracting across tourism tech, fintech, payments, and IoT. Research experience in satellite image analysis and radar-based vehicle monitoring.

Shane Acton

Machine Learning & AI Research

ML research engineer shipping production systems across biotech, civic tech, proptech, and regtech. Built machine learning models for a cancer vaccine programme, a computer vision system helping the City of Cape Town classify vehicle models, a chatbot for a proptech startup, and a regulatory-act intelligence platform.

Aidan Bailey

Architecture & Performance

Computer scientist (MSc candidate, UCT) and lifelong programmer specialising in software architecture, optimisation, and development methodologies. Architected and shipped a high-performance ML-based trading system and an internationally circulated POS interface. Works in Rust, C++, Julia, Haskell, Python, and SQL, with deep experience in logic programming, databases, and Linux.

Kai Goodall

Embedded Systems, AI & Hardware

Mechatronics engineer (MSc, UCT) specialising in embedded systems, AI, and advanced hardware design. International committee member of IEEE Region 8 HTAC and PECC, and winner of multiple international engineering competitions including the RS Group Innovators Championship. Co-founder and research engineer at a UCT-backed deep-tech semiconductor startup building next-generation connectivity.

Team experience includes

InstaDeep· BioNTech· Ankerdata· Letly· Rorschach Innovation· City of Cape Town· IEEE Region 8 HTAC· IEEE PECC· RS Group

Less process. More product. Fast by default.

The prototype can exist by next week.