Why You Should Build in Deep Tech

When I was coming up in tech, the conventional wisdom was that working at or investing in software companies was a great way to make money, while doing so with companies that took on scientific risk or produced hardware components were a wonderful way to lose every cent to your name. This has always struck me as, you know, wrong, which is why this piece by venture capitalist Leo Polovets resonated with me. He takes a data-driven approach to understanding how deep tech companies can produce superior financial returns. If you’re on the fence with your career—perhaps facing temptation to do something relatively safe in B2B SaaS—take this piece as a rational encouragement to dream bigger. —Evan 

I’ve been a venture capitalist for nearly 11 years. While most of my investing career has been focused on B2B SaaS with Susa Ventures, two years ago I decided to try my hand at deep tech. So I started Humba Ventures, which leads pre-seed and seed rounds in deep tech investing—sectors like robots and manufacturing, climate and energy, and defense and security.

Historically, VCs have stayed away from deep tech because it’s considered a hard industry to build in. Deep tech startups tend to have significant science and engineering risk, and it’s not always guaranteed that the products they plan for can actually be built. Compare that to SaaS, where there is rarely a risk that a product can’t be built. Instead, the risk is whether the product is worth building, and whether anyone will pay for it.

Other factors have helped fuel the stereotype that deep tech is a difficult sector. In the past, there hasn’t been much follow-on funding for startups or successful predecessors to hire from. And a few outlier companies have created the reputation that deep tech companies burn a lot more than their peers.

But these stereotypes are wrong. In fact, now is the best time to invest in deep tech companies. There are lots of macro tailwinds fueling this phenomenon, including physical solutions that are needed to reduce climate impact, bring manufacturing back to the U.S., and defend ourselves against global threats. And as traditional startup sectors face cutthroat competition, with generative AI dropping costs of building new software products, deep tech’s higher barriers to entry can allow any team willing to surmount them to reap huge rewards.