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jonathan godwin

T2 · manager / operator

Co-founder and CEO of Orbital Industries, an AI industrial company using frontier AI models to discover advanced materials and develop hardware products for critical industries; previously spent 5 years as a researcher at DeepMind.

1 call·1 name·100% bull·last heard 3 months ago·Scaling Europe
track record

no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY

top calls

highest conviction · one per company
1sthigh conviction
$ORBITAL-INDUSTRIESOrbital Industriesposition

Orbital CEO: AI-discovered GPU cooling material first to market, unlocking hardware value capture

Orbital's AI platform discovered a new family of cooling materials for GPUs in 3 years vs traditional 10-year/$100M timeline, creating a core bottleneck solution for AI chip scaling; the company's 'AI industrial' model combines frontier AI research with hardware product development to capture power-law value in advanced materials.

Scaling Europe2026-06episode →

most discussed · click a bar to filter

  • $ORBITAL-INDUSTRIES

recurring themes

  • AI Infrastructure1
  • Data Center Infrastructure1
  • Advanced Manufacturing1
  • Critical Minerals & Supply Chain1
  • Open Source AI1
1 total
$ORBITAL-INDUSTRIES
Orbital Industries
HIGHjonathan godwin·Scaling Europe·3 months ago·Orbital raised $50m Series B: Jonathan Godwin, CEO at Orbital· position
Orbital CEO: AI-discovered GPU cooling material first to market, unlocking hardware value capture
Orbital's AI platform discovered a new family of cooling materials for GPUs in 3 years vs traditional 10-year/$100M timeline, creating a core bottleneck solution for AI chip scaling; the company's 'AI industrial' model combines frontier AI research with hardware product development to capture power-law value in advanced materials.
"We have used our AI platform to discover a whole new category of cooling technologies for GPUs. A new family of materials that is going to be better at cooling GPUs as they become…"
1:54
9
AI Infrastructuretailwind
AI-driven materials discovery delivers first commercial molecule, solving GPU thermal bottleneck
Orbital's 'Orb' foundation model enables computational screening of millions of material candidates, replacing analog trial-and-error; this yielded a novel GPU cooling fluid family in 3 years versus the typical decade, demonstrating AI can compress materials R&D cycles and unlock critical data center infrastructure bottlenecks.
8
Data Center Infrastructuretailwind
GPU heat density creates mandatory demand for novel cooling materials as AI scaling continues
As GPUs grow more energy-intensive, thermal management becomes a hard bottleneck for training and inference; major chip providers require new cooling material families to continue roadmap progression, creating a structural tailwind for companies that can deliver qualified solutions at scale.
8
Advanced Manufacturingtailwind
AI industrial model — frontier research plus hardware product teams — captures power-law value in materials
Orbital pairs a world-class AI research team (releasing open-source 'Orb' model) with product teams that commercialize discoveries as hardware; the CEO argues advanced materials value concentrates in 3-5 blockbuster products per period, so owning the full stack from simulation to manufactured device is necessary to capture outsized returns.
7
Critical Minerals & Supply Chaintailwind
Critical minerals independence requires new AI-enabled production technologies for rare earths
Orbital identifies critical mineral supply — specifically rare earth metal production — as a core challenge for sovereign industrial capability; the company's AI platform can develop new extraction and processing technologies, positioning AI-driven materials science as a strategic lever for supply chain resilience.
7
Open Source AItailwind
Open-sourcing foundation models (Orb) accelerates talent recruitment and ecosystem adoption while hardware captures value
Orbital open-sourced its general-purpose materials model 'Orb' because the business model monetizes discovered hardware, not software licenses; this drives community contributions, talent inflow, and goodwill while retaining proprietary data advantages in commercial focus areas.
7
Venture Capitaltailwind
Mission-driven founders with 'inevitable' visions attract conviction capital and build generational companies
Plural's investment thesis — backing founders who see an inevitable future (SpaceX to Mars, Anthropic on AI safety, Orbital on AI industrial) — selects for teams that sustain effort through deep-tech timelines; the CEO argues such missions unite talent, create culture, and ultimately produce the largest outcomes despite appearing non-obvious initially.