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Brainworks Ventures

USGBDEFRNLSESGAUJPINAI/MLB2B SaaSHealthtechDeep TechEnterpriseDevtools

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Investment thesis

Brainworks Ventures is a $50M AI-native venture capital fund that invests in pre-seed, seed, and Series A companies where artificial intelligence is the foundation of the product and operations — not merely an add-on feature. The fund focuses on four core verticals: AI-native enterprise software, health and biotech AI (molecular diagnostics, drug discovery, brain-machine interfaces), AI infrastructure (developer tools, compute platforms, data infrastructure), and creative and media AI. As Managing Partner Dr. Phillip Alvelda articulates, the fund is built around 'the new mathematics of AI-native companies' — the thesis that AI-native startups can reach billion-dollar outcomes with as little as $6M in capital in under four years, rendering the traditional Silicon Valley playbook of $150M across five rounds obsolete. Brainworks itself operates as an AI-native entity, using AI to automate deal flow, diligence, and portfolio operations, and invests globally across North America, Europe, and Asia-Pacific.

Notable quotes

The old VC equation was straightforward: raise $150 million over 4-5 rounds of finance, hire 100 or more people, wait 12 years, and hope for a unicorn listing. Now, old guard VCs are trying to bolt AI onto their portfolio companies' existing legacy infrastructure. That's like adding a turbocharger to a horse-drawn carriage. That just isn't going to be competitive with future AI-native companies.

Phillip Alvelda · Business Wire / brainworks.ai press release · 2025-12-11

An AI-enhanced $50 million fund can now accomplish what it took a $500 million fund to achieve last year because AI-first founders build faster with less. The economics have fundamentally changed. Traditional VCs who don't adapt will be left behind.

Phillip Alvelda · Business Wire / brainworks.ai press release · 2025-12-11

I've watched every hype cycle, every 'AI winter,' every false dawn. I've built companies applying machine learning when computing didn't exist to make it work and watched the same ideas succeed two decades later when infrastructure caught up. That pattern recognition — knowing when technology is genuinely ready versus when it's still laboratory research — is what 37 years in the field teaches you.

Phillip Alvelda · Digital Journal interview · 2025-12-14

Team

Dr. Phillip Alvelda

Co-Founder & Managing Partner

AI/MLDeep TechHealthtechBio/Pharma

Louis Rajczi

Partner / Advisor

AI/MLEnterpriseDeep Tech

Volker Hirsch

European Partner

AI/MLB2B SaaSHealthtechEnterprise

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