The Business of Tech

Forget soy, pea, or lab-grown meat – the next frontier in sustainable food might just be hiding in plain sight. Specifically, in the leaves of everyday plants growing across New Zealand’s farmland.
In the latest episode of The Business of Tech podcast, I talk to Ross Milne, the CEO of Rolleston-based startup Leaft Foods, which has pioneered a breakthrough technique to extract and process Rubisco, a naturally occurring protein found in every green leaf.
Scientists have long known Rubisco’s potential, calling it the “utopia protein” for its rich nutritional profile and low environmental footprint. What’s been missing until now is a practical way to isolate it for use in food and animal feed.
From milk to leafy greens
Milne, a former process engineer who worked for some of the world’s largest food companies, saw an opening for innovation back home in New Zealand, teaming up with Leaft Food founders John Penno (Synlait Milk co-founder) and Maury Leyland Penno. Leaft’s approach promises not just a powerful alternative to traditional protein sources, but a clever circular system where farmers can use the high-protein byproducts as feed supplements, boosting productivity while cutting emissions.
The engineering ingenuity allowing Leaft to extract sufficient quantities of Rubisco is what caught the eye of global investors in 2020, when Leaft raised US$15 million in a Series A round. Among Leaft’s backers is Khosla Ventures, the legendary Silicon Valley venture capital firm known for betting early on world-changing green technologies.
Low-impact protein
Working mainly with alfalfa crops in the Canterbury region, Leaft harvests and processes the leaves, extracting the protein which is sold to food suppliers and which features in Leaft Blade, the company’s line of nutritional products. The leftover leaves are used by farmers for supplementary feed.
“The interesting thing about [Alfalfa] from a grower point of view is it regrows straight away,” Milne told me.
“So about six weeks later, for example, we're back in that same paddock harvesting it again. And we just constantly do that. It's a perennial which stays in the ground for multiple years.”
As the world races to find scalable, low-impact protein sources, Leaft’s innovation could place Canterbury at the center of the solution. For Milne, it’s a mission to transform the food system from scratch.
Listen to the entire conversation on The Business of Tech podcast to find out how this Kiwi startup is redefining what we eat, how we grow it, and why the leaves in your backyard might hold the key to feeding the future.
Streaming on iHeartRadio, Apple, Spotify or wherever you get your podcasts.
Show notes
Developing a new plant-based protein - Science Learning Hub
An IPO could be on the cards for Leaft Foods one day - BusinessDesk
NZ green protein producer sprouts new deal with Asian food giant - RNZ
Leaft protein boosted from ground up - Farmers Weekly
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New Zealand drivers are about to discover a whole new way of paying to use the roads – and for most, it will be a shock.
For decades, petrol and diesel motorists have funded the transport network through fuel excise quietly folded into every litre at the pump - currently a 70c tax.
Soon, that largely invisible tax will give way to something much more visible – paying per kilometre under an expanded road user charge (RUC) system.
On the latest episode of The Business of Tech, I talk to Dunedin-based entrepreneur Adam Johnston about what may be the biggest shake-up to transport funding in 50 years. Light vehicle owners who have never had to think about RUC before will be pulled into a regime that currently applies to heavy vehicles, diesel cars and electric vehicles. Petrol vehicles currently make up around 55% of the national fleet.
Instead of passively paying when you fill up, you’ll be actively buying distance in advance, tracking your odometer, and keeping on the good side of Waka Kotahi.
A new marketplace for RUC payments

That sounds like a recipe for confusion and admin overload, especially in a cost-of-living crisis where drivers are already stressed about the price of petrol and diesel. But this shift is also opening the door to a wave of innovation. As the government hands more of the RUC system over to private providers, a new marketplace will emerge around how you pay to drive.
It will likely be in the form of apps that let you buy and manage your RUC from your phone, real-time dashboards that show how much you’ve used, and even telematics devices that automate the whole process by reporting your mileage in the background. Payment platforms will sit in the middle, clipping the ticket on every transaction. Start-ups and incumbents alike will compete to become your go-to RUC retailer, bundling services and perks to win your attention and loyalty.
Johnston and his co-founder, Briyarne Pascoe, both former Delivery Easy workers, are among the entrepreneurs racing to shape this new ecosystem. Building on their RUC Hub project, a free-to-access platform that tells you everything you need to know about road user charges, they saw an opportunity to make a complex system more transparent and user-friendly, while preventing the market from devolving into a cosy oligopoly. The pair plan to become a retail player in the emerging RUC ecosystem.
In the episode, Johnston explains the trade-offs between better digital experiences and the extra transaction costs that could quietly inflate what you pay overall.
This episode unpacks what’s coming, how your relationship with your car and your wallet is about to change, and the tools that could make surviving the new RUC era a little less painful. Streaming on iHeartRadio, Spotify, Apple or wherever you get your podcasts.
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This week on The Business of Tech, I talk to Inspired Education founder Nadim Nsouli to explore a bold experiment in AI‑driven schooling that will reach Auckland primary students from 2027.
Inspired Education operates seven ACG private primary schools in New Zealand, including five in Auckland, focusing on personalised learning. A new learning programme, Inspired Edge Academy, compresses the traditional core curriculum – English, maths, science, computing and languages – into three highly structured, interactive hours each morning.
Afternoons are turned into a lab for real‑world skills: financial literacy, entrepreneurship, public speaking and problem‑solving.
Underpinning it all is an adaptive AI learning system that changes questions and pathways in real time, depending on where each child is struggling or racing ahead, making progression based on mastery rather than age.
AI can personalise learning
Nsouli told me that Inspired has already invested tens of millions of dollars in technology across its 125 schools, using platforms like Century Tech to personalise homework and classwork for 95,000 students. In some subjects, students using these adaptive tools have lifted assessment scores by the equivalent of a GCSE grade boundary in just six weeks.
Nsouli walks through what this looks like for an eight‑year‑old: short 20–25 minute learning blocks, small clusters of students regrouped by mastery for each subject, a teacher‑to‑student ratio of about 1:8, and AI dashboards that show educators exactly where to intervene.
The philosophy behind the empire
Nsouli also tells Inspired's origin story. He left a successful private equity career after a personal tragedy, the death of his daughter Lyla, who died in 2012 at age 3 from a rare, aggressive brain cancer.
It was a turning point in Nsouli’s life, inspiring him to build a global group of premium schools that now employ 15,000 staff and educate 95,000 students on six continents. He sees the use of AI as “digitally native but human‑centred”. Smartphones are banned in all Inspired schools globally, teachers remain central, and technology is used where it can clearly outperform paper – in adaptive practice, feedback and assessment.
What it means for New Zealand
From 2027, the Edge model will appear in Auckland’s Inspired schools, after an early access launch in London, with the potential to spread faster where parent demand is strongest.
We also discuss whether AI‑powered mastery learning will widen the gap between private and state schools or eventually filter through to the public system as costs fall and evidence grows.
Listen to the conversation with Nadim Nsouli, streaming on iHeartRadio, Spotify, Apple, or wherever you get your podcasts.
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Why do some places become tech powerhouses while others, just as smart and connected, stall out?
In the latest episode of The Business of Tech, global innovation expert Mehran Gul, a former policy expert at the World Economic Forum, and the United Nations, dispels the myths about where breakthrough technology happens – and gives his take on what New Zealand should do to improve its innovation game.
Gul’s new book, The New Geography of Innovation: The Global Contest for Breakthrough Technologies, comes to a simple conclusion - there’s no fixed map of innovation.
Silicon Valley, with its concentration of startups, tech talent and venture capital, remains an innovation powerhouse. But China went from being dismissed as a copycat to a genuine tech superpower in five to seven years.
Canada, via one small lab at the University of Toronto, helped trigger the entire modern AI boom with AlexNet and a handful of researchers who went on to shape OpenAI and the wider industry. If they can bend the curve that fast, so can so-called “middle powers” and smaller countries like New Zealand – if they stop telling themselves they’re too small, too distant, or too late.
Tech makers, not tech takers
Gul explains how the ingredients of innovation look radically different from place to place. Silicon Valley has anchor universities, thick venture capital markets and a constant deal engine of big firms buying smaller ones.
In China, the giant tech platforms came first, then research labs and world‑leading developments like ResNet, a neural network architecture. Singapore doesn’t have household‑name tech brands, yet it dominates venture capital in Southeast Asia.
Gul’s assessment of New Zealand is that the likes of Rocket Lab have demonstrated our ability to produce successful, innovative companies. It’s that we keep losing them, talent and listings included, to the United States and other major markets. He argues the real test is whether a country can hang on to its winners, build a startup “factory” around breakout successes, and use policy to push founders towards IPOs and broad employee ownership instead of early exits to US tech giants.
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When global giants argue about which AI models are safest, smartest and ready for prime time, a New Zealander in Redmond, Washington is one of the people making the call.
Steve Sweetman leads the team at Microsoft's global headquarters deciding which AI models make it onto Microsoft Foundry – the platform that now offers more than 10,000 models from OpenAI, Anthropic, Meta, DeepSeek, Microsoft’s own labs and others, to customers around the world.
Sweetman studied architecture at Unitec in Auckland and fell in love with technology as the industry shifted from manual drawing to computer-assisted design. Stints at Wang and Telecom led to Microsoft New Zealand, then on to Redmond, where he’s spent over two decades at the coalface of new tech: HoloLens, early chatbots, and the shift from narrow AI tools to today’s generative AI platforms.
Setting the responsible AI rules
He helped set up Microsoft’s Office of Responsible AI, turning high‑minded principles into practical policies and tools. That experience now shapes how Foundry works. Before any third‑party model is switched on for customers, Microsoft runs its own evaluations and has, Sweetman reveals, rejected popular models that didn’t meet its safety bar.
Sweetman explains why the real value is no longer “just the model” but the data, governance and agent frameworks wrapped around it. We talk through concrete use cases from Alaska Airlines using generative AI to personalise travel planning, to CVS Health applying models to cancer research, and tiny Australian startup Lyrebird building multilingual tools to close gaps between patients and clinicians.
For New Zealand, where AI adoption is lagging and talent is thin on the ground, Sweetman is bullish. You don’t need to build your own foundational model, he argues. You can plug into powerful platforms like Foundry, understand the safety guardrails, and start experimenting.
If you want an insider’s view of how Microsoft is curating the world’s AI models – and a Kiwi’s take on what that means for local businesses – this is an episode worth queuing up. Streaming on iHeartRadio or wherever you get your podcasts. Thanks to our sponsor 2degrees and to Microsoft for hosting me in Redmond.
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