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;

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

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 Government’s plan to cut 8,700 public sector jobs and save $2.4 billion has been framed largely as a brutal cost‑cutting exercise. 

In this week’s episode of The Business of Tech podcast, Hamilton‑based technologist Brandon Hutcheson argues it could instead be the catalyst for a once‑in‑a‑generation redesign of how government works – if we get the AI strategy right. He admits, that's a big "if".

Hutcheson, head of quantum at Netherlands-based IT services firm HSO and co‑founder of AI specialist Aware Group, has published a detailed catalogue of 160 ways artificial intelligence could transform the public sector. The ideas range from obvious efficiency wins – such as shared AI‑enabled contact centres and common cloud HR and payroll platforms – through to more ambitious proposals like synthetic populations for policy testing and real‑time legislation impact simulators.

Rather than starting with “who can we cut?”, Hutcheson wants agencies to map their processes into four buckets: fully automatable, automatable with a transition plan, partially automatable with permanent human oversight, and human‑only functions. That discipline, he argues, is missing today, with agencies scrambling to bolt on AI tools in isolation, baking in the next wave of technical debt and eroding public trust.

The next wave of computing

He’s particularly critical of the way the cuts have been communicated – telling public servants their jobs are on the line while expecting them to lead the automation of their own roles. In his view, the smarter play is to frame AI as a way to improve citizen experience, reduce low‑value manual work, and spin out new export‑focused ventures built on New Zealand’s deep public‑sector expertise.

The episode also looks ahead to the next wave of computing that will sit behind many of these changes. Hutcheson has just returned from Microsoft’s quantum labs in Redmond, where the company is racing to build fault‑tolerant quantum machines. He explains what he saw on the ground, why quantum should already be on the radar of boards and CIOs, and how it could combine with AI to reshape industries that rely on complex simulations – from materials and manufacturing to agriculture and finance.

For business leaders, technologists and policy makers, this conversation is a roadmap to what’s possible – and a warning about the architectural decisions we make now.

Listen to The Business of Tech, streaming on iHeartRadio, Apple, Spotify or wherever you get your podcasts.

The Government&rsquo;s plan to cut 8,700 public sector jobs and save $2.4 billion has been framed largely as a brutal cost‑cutting exercise.&nbsp;
In this week&rsquo;s episode of The Business of Tech podcast, Hamilton‑based technologist Brandon Hutcheson argues it could instead be the catalyst for a once‑in‑a‑generation redesign of how government works &ndash; if we get the AI strategy right. He admits, that's a big "if".
Hutcheson, head of quantum at Netherlands-based IT services firm HSO and co‑founder of AI specialist Aware Group, has published a&nbsp;<a href="https://ai.brandon.nz/#0">detailed catalogue of 160 ways artificial intelligence</a> could transform the public sector. The ideas range from obvious efficiency wins &ndash; such as shared AI‑enabled contact centres and common cloud HR and payroll platforms &ndash; through to more ambitious proposals like synthetic populations for policy testing and real‑time legislation impact simulators.
Rather than starting with &ldquo;who can we cut?&rdquo;, Hutcheson wants agencies to map their processes into four buckets: fully automatable, automatable with a transition plan, partially automatable with permanent human oversight, and human‑only functions. That discipline, he argues, is missing today, with agencies scrambling to bolt on AI tools in isolation, baking in the next wave of technical debt and eroding public trust.
The next wave of computing
He&rsquo;s particularly critical of the way the cuts have been communicated &ndash; telling public servants their jobs are on the line while expecting them to lead the automation of their own roles. In his view, the smarter play is to frame AI as a way to improve citizen experience, reduce low‑value manual work, and spin out new export‑focused ventures built on New Zealand&rsquo;s deep public‑sector expertise.
The episode also looks ahead to the next wave of computing that will sit behind many of these changes. Hutcheson has just returned from Microsoft&rsquo;s quantum labs in Redmond, where the company is racing to build fault‑tolerant quantum machines. He explains what he saw on the ground, why quantum should already be on the radar of boards and CIOs, and how it could combine with AI to reshape industries that rely on complex simulations &ndash; from materials and manufacturing to agriculture and finance.
For business leaders, technologists and policy makers, this conversation is a roadmap to what&rsquo;s possible &ndash; and a warning about the architectural decisions we make now.
Listen to The Business of Tech, streaming on iHeartRadio, Apple, Spotify or wherever you get your podcasts.

AI vs public sector jobs

https://api.omny.fm/orgs/7784f840-c291-422a-924b-ad9000bbad71/clips/24f95b07-186a-4a7c-8acb-b4640094ba28/transcript

When it comes to scaling high‑growth tech companies, AJ Tills has been in the engine room. 

As one of Uber’s earliest hires in New Zealand, he helped the ride‑hailing giant push through regulatory resistance and turn the controversial startup into a default verb for getting around town, briefly serving as Uber’s US and Canada marketing chief of staff in New York. 

Later, as chief marketing officer at Jamie Beaton’s startup Crimson Education, he helped the Kiwi‑founded edtech unicorn build a virtual high school and launchpad for students seeking entrance to top universities. He then went on to lead international growth for the world’s largest online wedding marketplace, The Knot Worldwide, spanning over a dozen countries

Now Tills is back in New Zealand and backing a very different kind of disruption – this time in the unsexy but critical world of data storage.

On the latest episode of The Business of Tech podcast, Tills tells me about his new role leading the customer push at Exaba. This Hamilton‑based startup wants to change how enterprises store and protect their data. Exaba has raised almost $12 million in seeding funding – one of the largest in New Zealand – to deepen its local footprint and expand into Australia and the US.

Rising from the ashes of Nyriad

The company was founded by Dr. Stuart Inglis and Peter Boyle, former executives of Nyriad, which developed ultrafast, GPU-accelerated data storage technology, but was wound down in 2024 after failing to gain sufficient market traction. Tech entrepreneur Guy Haddleton, who had backed Nyriad, bought some of the company’s assets and doubled down on his support for Inglis and Boyle to create a company with a slightly different proposition.

Exaba aims to exploit the data centre boom and shifting sentiment towards the dominant hyperscale public cloud providers. For the past two decades, the default move has been to throw everything into the big public clouds, from AWS to Azure and Google Cloud. That brought convenience and scale, but it also introduced spiralling storage costs, punishing egress fees, and growing unease about data sovereignty and security.

Exaba is building a cheaper, local alternative. Its software runs on standard, commodity hardware and turns managed service providers into “local scalers” who can offer their own on‑premise or locally hosted storage to customers. The company claims it can be up to ten times cheaper than the hyperscalers for storage, with predictable pricing instead of nasty surprises when you try to get your data back out.

Tills, who joined Exaba six months ago and serves as its chief customer officer and US president, goes into why data residency and sovereignty are suddenly board‑level issues, and how Exaba is building post‑quantum‑secure storage for a world where attackers can “harvest now, decrypt later”. 

We also explore how Tills is applying Uber‑era playbooks to win over managed service providers in the US and future‑proof their business models in the age of AI.

Listen to the discussion in its entirety on iHeartRadio, Apple, Spotify, or wherever you get your podcasts. 

When it comes to scaling high‑growth tech companies, AJ Tills has been in the engine room.&nbsp;
As one of Uber&rsquo;s earliest hires in New Zealand, he helped the ride‑hailing giant push through regulatory resistance and turn the controversial startup into a default verb for getting around town, briefly serving as Uber&rsquo;s US and Canada marketing chief of staff in New York.&nbsp;
Later, as chief marketing officer at Jamie Beaton&rsquo;s startup Crimson Education, he helped the Kiwi‑founded edtech unicorn build a virtual high school and launchpad for students seeking entrance to top universities. He then went on to lead international growth for the world&rsquo;s largest online wedding marketplace, The Knot Worldwide, spanning over a dozen countries
Now Tills is back in New Zealand and backing a very different kind of disruption &ndash; this time in the unsexy but critical world of data storage.
On the latest episode of The Business of Tech podcast, Tills tells me about his new role leading the customer push at Exaba. This Hamilton‑based startup wants to change how enterprises store and protect their data. Exaba has raised almost $12 million in seeding funding &ndash; one of the largest in New Zealand &ndash; to deepen its local footprint and expand into Australia and the US.
Rising from the ashes of Nyriad
The company was founded by Dr. Stuart Inglis and Peter Boyle, former executives of Nyriad, which developed ultrafast, GPU-accelerated data storage technology, but was wound down in 2024 after failing to gain sufficient market traction. Tech entrepreneur Guy Haddleton, who had backed Nyriad, bought some of the company&rsquo;s assets and doubled down on his support for Inglis and Boyle to create a company with a slightly different proposition.
Exaba aims to exploit the data centre boom and shifting sentiment towards the dominant hyperscale public cloud providers. For the past two decades, the default move has been to throw everything into the big public clouds, from AWS to Azure and Google Cloud. That brought convenience and scale, but it also introduced spiralling storage costs, punishing egress fees, and growing unease about data sovereignty and security.
Exaba is building a cheaper, local alternative. Its software runs on standard, commodity hardware and turns managed service providers into &ldquo;local scalers&rdquo; who can offer their own on‑premise or locally hosted storage to customers. The company claims it can be up to ten times cheaper than the hyperscalers for storage, with predictable pricing instead of nasty surprises when you try to get your data back out.
Tills, who joined Exaba six months ago and serves as its chief customer officer and US president, goes into why data residency and sovereignty are suddenly board‑level issues, and how Exaba is building post‑quantum‑secure storage for a world where attackers can &ldquo;harvest now, decrypt later&rdquo;.&nbsp;
We also explore how Tills is applying Uber‑era playbooks to win over managed service providers in the US and future‑proof their business models in the age of AI.
Listen to the discussion in its entirety on iHeartRadio, Apple, Spotify, or wherever you get your podcasts.&nbsp;

From Uber to Exaba: AJ Tills takes on Big Tech storage

https://api.omny.fm/orgs/7784f840-c291-422a-924b-ad9000bbad71/clips/d271af99-54a0-4177-ac29-b45e0024e245/transcript

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

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