While Silicon Valley chases the next AI infrastructure unicorn, January Ventures is making a different bet - backing underrepresented founders who understand legacy industries that AI could transform. The pre-seed fund writes checks for entrepreneurs applying artificial intelligence to healthcare, manufacturing, and supply chain operations, sectors where deep domain expertise matters more than pure tech credentials.
The venture capital world has AI fever, but January Ventures thinks everyone's looking in the wrong places. While most funds chase the latest large language model or GPU optimization play in San Francisco, this pre-seed fund is writing checks for founders who actually understand the industries AI could revolutionize.
"The most defensible AI companies are being built by founders with deep expertise in legacy industries," Jennifer Neundorfer, Co-Founder and General Partner at January Ventures, explained during a live TechCrunch Equity podcast recording at Disrupt 2025. The catch? "They're not getting funded."
It's a thesis that runs counter to the current investment frenzy around AI infrastructure. While venture dollars flood into foundation model companies and chip startups, Neundorfer argues the real opportunity lies with entrepreneurs who spent decades in healthcare, manufacturing, or supply chain before discovering how AI could solve their industry's thorniest problems.
The fund specifically targets underrepresented founders - a deliberate strategy in an industry where funding patterns often favor the usual suspects. According to All Raise data, only 2.3% of venture capital went to female founders in 2023, while diverse founding teams received even less. January Ventures sees this as both a market inefficiency and massive opportunity.
"Building different networks matters," Neundorfer told host Dominic-Madori Davis. Traditional VC networks tend to circulate around the same Stanford computer science graduates and former Google engineers. But the founders solving real problems in legacy industries often come from completely different backgrounds - former nurses building healthcare AI, manufacturing engineers developing predictive maintenance systems, or supply chain veterans creating inventory optimization tools.
This approach reflects a broader shift in early-stage investing. As AI capabilities become democratized through better APIs and open-source models, the competitive advantage increasingly lies in application and domain knowledge rather than pure technical prowess. A founder who understands hospital workflows intimately might build a more valuable AI healthcare company than someone who just knows how to fine-tune transformers.
The timing feels right for this thesis. Enterprise AI adoption is accelerating beyond the early adopter phase, but many legacy industries remain largely untouched by intelligent automation. Healthcare still runs on fax machines and paper charts in many settings. Manufacturing plants operate with decades-old systems that could benefit enormously from predictive analytics and automated quality control.
January Ventures isn't alone in this thinking. Other funds like Bessemer Venture Partners and Andreessen Horowitz have recently highlighted vertical AI applications as their next big focus areas. But few are as explicitly focused on the founder diversity angle or the pre-seed stage where these entrepreneurs typically need their first institutional capital.
The fund's approach also addresses a common criticism of the current AI investment boom - that too much money is chasing too few infrastructure opportunities while real-world applications remain underfunded. By the time proven AI infrastructure companies raise Series B rounds, valuations often reach levels that make venture returns challenging. Pre-seed application companies, especially in unsexy industries, offer potentially better risk-adjusted returns.
For underrepresented founders in legacy industries, access to venture capital has historically been limited by network effects and pattern matching. VCs tend to invest in founders who look like previous successful entrepreneurs, creating a self-reinforcing cycle. January Ventures is betting that breaking this cycle will uncover overlooked opportunities with massive market potential.
January Ventures' bet on underrepresented founders in legacy industries represents more than just contrarian investing - it's a thesis that the next wave of AI value creation will come from deep domain expertise rather than pure technical innovation. As AI tools become more accessible, the competitive moat shifts toward understanding customer problems and industry dynamics. For founders who've spent years in healthcare, manufacturing, or supply chain, AI isn't just another technology trend - it's the key to solving problems they've been thinking about for decades. If January Ventures is right, we're about to see AI applications that actually matter to the real economy, built by the people who understand these industries best.
