AI-Powered Engineering for Bones and Boats - Axial3D and Compute Maritime!

Описание: What happens when AI stops being a generic chatbot and starts solving real, high-value industry problems?

In this episode of AI Across the Product Lifecycle, I’m joined by Shahroz Khan, CEO of Compute Maritime, and Roger Johnston, CEO of Axial3D for a sharp discussion on what AI looks like when it is built for serious engineering and medical workflows. 

This is not another vague conversation about “AI transformation.”

It is a grounded look at two companies attacking very different but equally difficult domains:
• Compute Maritime is building generative tools for vessel design and simulation
• Axial3D is turning standard 2D medical images into rich 3D clinical understanding for measurement, identification, and patient-specific planning 

We get into:
why vertical AI matters,
why geometry and context matter more than hype,
why regulated industries cannot tolerate sloppy probabilistic thinking,
and why some of the biggest future winners will be startups born natively in AI rather than legacy vendors trying to retrofit it. 

A few things stood out for me:

1. AI is finally becoming domain-deep.
Not just text generation. Not just copilots. Actual systems that understand vessels, anatomy, manufacturability, compliance, and design constraints. 

2. Legacy industries are more fragile than they look.
Healthcare and maritime are both still shockingly immature digitally in many areas, which creates a huge opening for focused startups. 

3. The next wave will not be won by buzzwords.
It will be won by companies that can combine AI, workflow design, trust, regulation, and real operational outcomes. 

If you work in CAD, PLM, simulation, manufacturing, healthcare AI, or industrial software, this conversation is worth your time.

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Timeline
00:00 Intro and guest welcome
00:47 Shahroz Khan introduces Compute Maritime
01:13 Roger Johnston introduces Axial3D
01:52 Why both companies chose narrow vertical markets
03:06 Shahroz on marine engineering, yacht semantics, and early AI work
04:59 From research and patents to generative maritime design
06:10 The 2022 AI tipping point and what changed
06:55 Roger on being born cloud-native and AI-native in medical imaging
07:58 Shahroz on generative AI before the hype cycle
10:24 How AI changed day-to-day developer workflows
10:38 Compute Maritime on APIs, agents, and customer-specific UX
12:22 Axial3D on productivity gains and patient-specific clinical applications
15:24 Regulation, determinism, and why medical AI needs strict controls
18:21 FDA workflow approvals and scalable versioning
19:19 Compute Maritime on manufacturability, class approval, and design constraints
23:28 Where AI actually sits in each product stack
25:01 Why 3D geometry matters more than language alone for design AI
29:55 Can AI configure the software itself?
32:08 Advice for younger engineers entering an AI-shaped world
35:35 Why healthcare still needs more people and better productivity
36:12 Why technological shifts create new jobs, not just displacement
40:34 Are they still bullish on AI in 2026?
43:17 Digital maturity in healthcare and maritime: where are we really?
50:50 Why startups can be a better digital on-ramp than legacy platforms
56:34 Where to see Compute Maritime and Axial3D this year
58:23 Develop3D Live, Barcelona, and upcoming events
58:59 Closing remarks and preview of the next episode