What is the purpose of the Callaghan Innovation? In the wake of the mandate to reduce headcount by about 7%, this was the question that Stefan Korn had to answer.

To answer it, he returned to the organisation's founding documents, looked at similar organisations overseas, and considered the unique position of Aotearoa New Zealand.

In this episode, Dr Korn discusses his vision of Callaghan's future and the thought process that led him to it.

Also, what do NZ's tech leaders say about the impact of AI on the workforce?

Reading list

What is the purpose of the Callaghan Innovation? In the wake of the mandate to reduce headcount by about 7%, this was the question that Stefan Korn had to answer.
To answer it, he returned to the organisation's founding documents, looked at similar organisations overseas, and considered the unique position of Aotearoa New Zealand.
In this episode, Dr Korn discusses his vision of Callaghan's future and the thought process that led him to it.
Also, what do NZ's tech leaders say about the impact of AI on the workforce?
<a href="https://businessdesk.co.nz/article/technology/the-vision-behind-callaghan-innovations-reset">Reading list</a>

The Business of Tech, hosted by leading tech journalist Peter Griffin. Every week they take a deep dive into emerging technology and news from the sector to help guide the important decisions all Business leaders make.

Issues such as cybersecurity, retaining trust after a cyberattack, business IT needs, purchasing SaaS tools and more.

New Episodes out every Thursday. Follow or subscribe to get it delivered straight to your favourite podcatcher.

@petergnz

@businessdesk_nz

Proudly sponsored by 2degrees Business!

 

The Business of Tech, hosted by leading tech journalist Peter Griffin. Every week they take a deep dive into emerging technology and news from the sector to help guide the important decisions all Business leaders make.
Issues such as cybersecurity, retaining trust after a cyberattack, business IT needs, purchasing SaaS tools and more.
New Episodes out every Thursday. Follow or subscribe to get it delivered straight to your favourite podcatcher.
@petergnz
@businessdesk_nz
Proudly sponsored by 2degrees Business!
&nbsp;

The Business of Tech

The vision behind Callaghan Innovation's reset

Australian startup Heidi Health has become one of the most visible examples of AI actually shifting the dial on healthcare productivity – and New Zealand is at the forefront of that story. 

In this week’s episode of The Business of Tech, I talk to Heidi co‑founder Yu Liu about the company’s journey from student training tool to AI “care partner” for clinicians, and its audacious goal of doubling global healthcare capacity.

Heidi didn’t start life in the emergency department. Yu and his co‑founders first built Oscar, a chatbot that helped medical students practise exam skills – essentially simulated patients for training bedside manner and clinical questioning. 

Oscar was useful, but the startup team struggled to find students willing to pay for it. In 2019, Liu and his co-founders, Dr Tom Kelly and Waleed Mussa, pivoted to tackling one of the biggest bottlenecks in healthcare – the hours clinicians lose every day to documentation and administration.

Widespread use in emergency departments

That created Heidi Scribe, an ambient AI scribe that sits in on consultations, listening to the conversation and producing high‑quality clinical notes tuned to each hospital’s templates and workflows. Clinicians were quick to adopt it. Liu describes doctors using Heidi in every consult and calling the founders directly when it went down, because they no longer wanted to go back to typing everything themselves.

In New Zealand, that enthusiasm has translated into national‑scale deployment. Health New Zealand is rolling Heidi out across all emergency departments, with clinicians in places like Hawke’s Bay cutting documentation time per patient from roughly 17 minutes to around four minutes. 

Heidi, which has now raised around US$100 million across several VC-backed fundraising rounds, blends frontier large language models with specialised, region‑local models trained on clinical language and medication names, hosted in‑region to satisfy data sovereignty requirements. That’s how it pushes accuracy toward the near‑99 per cent threshold clinicians need to trust AI‑generated notes, says Liu. Heidi wants to transform assistive AI into something closer to infrastructure.

From scribe to evidence-gatherer

Heidi doesn’t retain recordings of conversations, and while many doctors create transcriptions on their smartphones or laptops, the Heidi Remote is also available – a mobile recorder doctors and nurses can carry around clinics and hospitals for easy recording that doesn’t rely on an internet connection.

The company is already moving beyond transcription. Heidi Evidence surfaces relevant clinical research and guidelines at the point of care, while Heidi is expanding into pre‑chart summaries, referrals and spoken commands that trigger real actions in electronic health record systems. The aim, says Liu, is to let doctors focus on diagnosis and human connection, and let AI handle everything else.

In the episode, we dig into Heidi’s founding story, its rapid uptake in New Zealand’s public health system, and the governance and privacy questions that come with putting AI in the consult room. 

Tune in to the full conversation with Heidi Health co-founder Yu Liu on The Business of Tech, available wherever you get your podcasts.

Australian startup Heidi Health has become one of the most visible examples of AI actually shifting the dial on healthcare productivity &ndash; and New Zealand is at the forefront of that story.&nbsp;
In this week&rsquo;s episode of The Business of Tech, I talk to Heidi co‑founder Yu Liu about the company&rsquo;s journey from student training tool to AI &ldquo;care partner&rdquo; for clinicians, and its audacious goal of doubling global healthcare capacity.
Heidi didn&rsquo;t start life in the emergency department. Yu and his co‑founders first built Oscar, a chatbot that helped medical students practise exam skills &ndash; essentially simulated patients for training bedside manner and clinical questioning.&nbsp;
Oscar was useful, but the startup team struggled to find students willing to pay for it. In 2019, Liu and his co-founders, Dr Tom Kelly and Waleed Mussa, pivoted to tackling one of the biggest bottlenecks in healthcare &ndash; the hours clinicians lose every day to documentation and administration.
Widespread use in emergency departments
That created Heidi Scribe, an ambient AI scribe that sits in on consultations, listening to the conversation and producing high‑quality clinical notes tuned to each hospital&rsquo;s templates and workflows. Clinicians were quick to adopt it. Liu describes doctors using Heidi in every consult and calling the founders directly when it went down, because they no longer wanted to go back to typing everything themselves.
In New Zealand, that enthusiasm has translated into national‑scale deployment. Health New Zealand is rolling Heidi out across all emergency departments, with clinicians in places like Hawke&rsquo;s Bay cutting documentation time per patient from roughly 17 minutes to around four minutes.&nbsp;
Heidi, which has now raised around US$100 million across several VC-backed fundraising rounds, blends frontier large language models with specialised, region‑local models trained on clinical language and medication names, hosted in‑region to satisfy data sovereignty requirements. That&rsquo;s how it pushes accuracy toward the near‑99 per cent threshold clinicians need to trust AI‑generated notes, says Liu. Heidi wants to transform assistive AI into something closer to infrastructure.
From scribe to evidence-gatherer
Heidi doesn&rsquo;t retain recordings of conversations, and while many doctors create transcriptions on their smartphones or laptops, the Heidi Remote is also available &ndash; a mobile recorder doctors and nurses can carry around clinics and hospitals for easy recording that doesn&rsquo;t rely on an internet connection.
The company is already moving beyond transcription. Heidi Evidence surfaces relevant clinical research and guidelines at the point of care, while Heidi is expanding into pre‑chart summaries, referrals and spoken commands that trigger real actions in electronic health record systems. The aim, says Liu, is to let doctors focus on diagnosis and human connection, and let AI handle everything else.
In the episode, we dig into Heidi&rsquo;s founding story, its rapid uptake in New Zealand&rsquo;s public health system, and the governance and privacy questions that come with putting AI in the consult room.&nbsp;
Tune in to the full conversation with Heidi Health co-founder Yu Liu on The Business of Tech, available wherever you get your podcasts.

Heidi: the AI scribe shaking up NZ healthcare

https://api.omny.fm/orgs/7784f840-c291-422a-924b-ad9000bbad71/clips/46cc4360-9ce7-4357-9d64-b47a00103d02/transcript

Another New Zealander has joined the global AI big league. 

Auckland-raised engineer Jeff Hawke is now co‑founder and chief technology officer of Odyssey, a Palo Alto‑ and London‑based frontier lab that has just raised an eye‑watering US$310 million at a US$1.45 (NZ$2.55 billion) valuation – making it one of the world’s hottest AI “world model” startups.

On this week’s episode of The Business of Tech podcast, I talk to Hawke about how he went from tinkering with autonomous forklifts in New Zealand to helping shape the next era of artificial intelligence from Silicon Valley and Shoreditch.

Odyssey isn’t building another large language model. The company is focused on “world models” – AI systems that learn from sight and sound to understand how the real world works and then simulate it. Instead of spitting out text, these models simulate the real world, allowing robots that learn like humans, and games that feel like living worlds.

Amazon to power Odyssey’s models

Global investors are piling in. Odyssey’s Series B is led by US fund Natural Capital, with Amazon, AMD, GV, EQT, IQT and other heavy hitters on the cap table, plus a who’s who of Silicon Valley angels. Amazon Web Services has also signed on as Odyssey’s preferred cloud provider, betting that its Trainium AI chips can give the lab an edge in what is rapidly becoming an arms race for compute.

For Hawke, it’s the latest step in a deep‑tech odyssey. After studying mechatronics and computer science at the University of Auckland, he cut his teeth at a local autonomous forklift startup before heading offshore. Stints in the US and at the Oxford Robotics Institute led to him becoming the first technical hire at UK autonomous‑vehicle company Wayve, working alongside Kiwi founder Alex Kendall as they grew the company to a multibillion‑dollar valuation.

In our conversation, Hawke explains why he thinks world models are the missing piece of the AI puzzle, how Odyssey plans to move from a “GPT‑2 era” of world simulation to its own ChatGPT‑style breakout moment, and what this means for robots, jobs and the balance of power between tech companies and governments.

We also look at what his success says about New Zealand’s tech ecosystem – and why a new generation of Kiwi founders is quietly wiring itself into the very top tier of global AI.

You can listen to the full interview with Jeff Hawke on The Business of Tech, available now on Apple, Spotify, iHeartRadio or wherever you get your podcasts. 

Another New Zealander has joined the global AI big league.&nbsp;
Auckland-raised engineer Jeff Hawke is now co‑founder and chief technology officer of Odyssey, a Palo Alto‑ and London‑based frontier lab that has just raised an eye‑watering US$310 million at a US$1.45 (NZ$2.55 billion) valuation &ndash; making it one of the world&rsquo;s hottest AI &ldquo;world model&rdquo; startups.
On this week&rsquo;s episode of <a href="https://businessdesk.co.nz/business-of-tech">The Business of Tech</a> podcast, I talk to Hawke about how he went from tinkering with autonomous forklifts in New Zealand to helping shape the next era of artificial intelligence from Silicon Valley and Shoreditch.
Odyssey isn&rsquo;t building another large language model. The company is focused on &ldquo;world models&rdquo; &ndash; AI systems that learn from sight and sound to understand how the real world works and then simulate it. Instead of spitting out text, these models simulate the real world, allowing robots that learn like humans, and games that feel like living worlds.
Amazon to power Odyssey&rsquo;s models
Global investors are piling in. Odyssey&rsquo;s Series B is led by US fund Natural Capital, with Amazon, AMD, GV, EQT, IQT and other heavy hitters on the cap table, plus a who&rsquo;s who of Silicon Valley angels. Amazon Web Services has also signed on as Odyssey&rsquo;s preferred cloud provider, betting that its Trainium AI chips can give the lab an edge in what is rapidly becoming an arms race for compute.
For Hawke, it&rsquo;s the latest step in a deep‑tech odyssey. After studying mechatronics and computer science at the University of Auckland, he cut his teeth at a local autonomous forklift startup before heading offshore. Stints in the US and at the Oxford Robotics Institute led to him becoming the first technical hire at UK autonomous‑vehicle company Wayve, working alongside Kiwi founder Alex Kendall as they grew the company to a multibillion‑dollar valuation.
In our conversation, Hawke explains why he thinks world models are the missing piece of the AI puzzle, how Odyssey plans to move from a &ldquo;GPT‑2 era&rdquo; of world simulation to its own ChatGPT‑style breakout moment, and what this means for robots, jobs and the balance of power between tech companies and governments.
We also look at what his success says about New Zealand&rsquo;s tech ecosystem &ndash; and why a new generation of Kiwi founders is quietly wiring itself into the very top tier of global AI.
You can listen to the full interview with Jeff Hawke on The Business of Tech, available now on Apple, Spotify, iHeartRadio or wherever you get your podcasts.&nbsp;

Kiwi co-founded world‑builder hits $2.5 billion valuation

https://api.omny.fm/orgs/7784f840-c291-422a-924b-ad9000bbad71/clips/6d5d4d85-c852-4d54-911c-b4730010a4ae/transcript

China is racing ahead in artificial intelligence and robotics – and New Zealand risks being left on the sidelines if it doesn’t pay close attention.

In this week’s episode of The Business of Tech, I talk to two Kiwis who’ve just had a rare front‑row seat on China’s AI boom – Auckland-based ElementX co‑founder and chief technology officer Ming Cheuk, and Christchurch AI engineer and consultant Blake Harkness.

They’ve returned from an AI discovery tour organised by the AI Forum and the New Zealand China Council that took them inside some of China’s most advanced AI labs, hyperscale cloud providers, hospitals, banks, councils and robotics manufacturers. What they describe is a country where AI has moved well beyond pilots and proofs of concept and is now deeply embedded in everyday life and industrial processes.

The AI hospital

In healthcare, they visited a single hospital serving around five million patients a year, where AI chatbots handle initial triage in multiple languages, imaging tools cut the time to analyse scans by 80%, and robots in the pharmacy automatically pick and dispense prescriptions. Everything is done with the scan of a QR code. For a country like New Zealand, grappling with an ageing population and over‑stretched health services, it’s a glimpse of what fully scaled AI-enabled care could look like.

They also met with frontier large language model labs and firms building China’s own AI tech stack, often with a strong open-source ethos. Models that can be deployed on customers’ own infrastructure – even as part of sovereign AI arrangements – are central to China’s strategy, allowing overseas organisations to adopt Chinese AI without sending data back to Beijing. It’s a clever way to sidestep geopolitical mistrust while still extending technological influence.

On the robotics front, Ming and Blake toured factories producing humanoid robots and agile robotic “dogs” that are already off‑the‑shelf tools for search and rescue, asset inspection and industrial maintenance. The sheer number of robotics companies, and the pace at which they’re iterating on hardware and control systems, underscore how serious China is about becoming a global robotics powerhouse.

The tech divide

Yet geopolitics is never far from the surface. Export controls, national security concerns and shifting alliances mean much of this technology may never be directly available to Western buyers. Even so, Ming and Blake see real opportunities for New Zealand in partnering around open-source models, sovereign AI builds and targeted robotics deployments in sectors like infrastructure, manufacturing and agriculture.

If you want to understand where AI and robotics are really heading – and what that means for New Zealand’s economy, workforce and policy choices – this is an episode you won’t want to miss. 

Listen to The Business of Tech on your favourite podcast platform, or via iHeartRadio.

China is racing ahead in artificial intelligence and robotics &ndash; and New Zealand risks being left on the sidelines if it doesn&rsquo;t pay close attention.
In this week&rsquo;s episode of The Business of Tech, I talk to two Kiwis who&rsquo;ve just had a rare front‑row seat on China&rsquo;s AI boom &ndash; Auckland-based ElementX co‑founder and chief technology officer Ming Cheuk, and Christchurch AI engineer and consultant Blake Harkness.
They&rsquo;ve returned from an AI discovery tour organised by the AI Forum and the New Zealand China Council that took them inside some of China&rsquo;s most advanced AI labs, hyperscale cloud providers, hospitals, banks, councils and robotics manufacturers. What they describe is a country where AI has moved well beyond pilots and proofs of concept and is now deeply embedded in everyday life and industrial processes.
The AI hospital
In healthcare, they visited a single hospital serving around five million patients a year, where AI chatbots handle initial triage in multiple languages, imaging tools cut the time to analyse scans by 80%, and robots in the pharmacy automatically pick and dispense prescriptions. Everything is done with the scan of a QR code. For a country like New Zealand, grappling with an ageing population and over‑stretched health services, it&rsquo;s a glimpse of what fully scaled AI-enabled care could look like.
They also met with frontier large language model labs and firms building China&rsquo;s own AI tech stack, often with a strong open-source ethos. Models that can be deployed on customers&rsquo; own infrastructure &ndash; even as part of sovereign AI arrangements &ndash; are central to China&rsquo;s strategy, allowing overseas organisations to adopt Chinese AI without sending data back to Beijing. It&rsquo;s a clever way to sidestep geopolitical mistrust while still extending technological influence.
On the robotics front, Ming and Blake toured factories producing humanoid robots and agile robotic &ldquo;dogs&rdquo; that are already off‑the‑shelf tools for search and rescue, asset inspection and industrial maintenance. The sheer number of robotics companies, and the pace at which they&rsquo;re iterating on hardware and control systems, underscore how serious China is about becoming a global robotics powerhouse.
The tech divide
Yet geopolitics is never far from the surface. Export controls, national security concerns and shifting alliances mean much of this technology may never be directly available to Western buyers. Even so, Ming and Blake see real opportunities for New Zealand in partnering around open-source models, sovereign AI builds and targeted robotics deployments in sectors like infrastructure, manufacturing and agriculture.
If you want to understand where AI and robotics are really heading &ndash; and what that means for New Zealand&rsquo;s economy, workforce and policy choices &ndash; this is an episode you won&rsquo;t want to miss.&nbsp;
Listen to The Business of Tech on your favourite podcast platform, or via iHeartRadio.

China’s AI and robot revolution

https://api.omny.fm/orgs/7784f840-c291-422a-924b-ad9000bbad71/clips/5efcb1a3-071b-4b34-9eea-b46b00971ff4/transcript

The vision behind Callaghan Innovation's reset

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