Why scientific expertise alone won’t build your software business
Science-led software companies are typically founded by scientists. That is their greatest strength and, commercially, their most significant blind spot.
Why scientific expertise alone isn't enough
Scientists understand the problem they are solving with a depth that no commercial hire can replicate. They build products that do what they claim. They can speak to customers with enthusiasm and credibility, and in a company's early days, this is important.
What they often underestimate is how different building a commercial operation is from building a product. Knowing the science and knowing how to communicate its value to the person who needs it are two entirely different skills.
The assumption that domain credibility will do the commercial work is the most common and most costly mistake in this market.
Why commercial expertise alone isn't enough
A strong commercial leader without scientific fluency will misread the situation and lose credibility at the critical moment.
Scientists have a built-in radar for superficial knowledge. Treat them like a generic software buyer, and the conversation ends quickly. They want advice from a peer, not a sales pitch. To win their trust, you need scientific credibility and commercial expertise in the same conversation, often delivered by the same person.
What this looks like in practice
Fifteen years ago, I was hired to bring more biotech customers to OpenEye Scientific Software, a computational chemistry software company whose science was, and remains, among the best in the industry. The products were well established in large pharmaceutical companies, where dedicated computational chemistry teams had the expertise to use them to their full potential.
Biotech was the growth opportunity. It looked like a natural extension, but the biotech computational chemist is a fundamentally different buyer from the large pharma specialist.
In biotech, scientists often handle multiple responsibilities, and there may not even be a dedicated computational chemist. The person running the analysis is frequently also the medicinal chemist designing the compounds. They need tools they can pick up and use intuitively, dip in and out of, and get results without writing scripts. The large pharma specialist works in a dedicated team with deep computational expertise and the infrastructure to support it. The biotech scientist is working in a leaner environment, often without that support. The commercial strategy hadn't accounted for that.
The science was exactly what they needed. The product assumed an expertise and a working context that most of them didn't have. The gap wasn't in the technology; it was in the commercial assumption that a product proven in one market would translate to another without adaptation.
This mistake is one I've seen at every stage of company growth: the assumption that scientific credibility will carry the commercial work, regardless of who the buyer actually is or what they need from the product.
What this means for your business
Most science-led software companies discover at some point that they have built strength in one direction but not both.
They have brilliant scientists who can build the product and speak authentically to customers, but who find the commercial infrastructure, the go-to-market (GTM) strategy, the pricing conversations, and the pipeline management uncomfortable or unfamiliar.
Or they hire a commercial lead with a strong sales background who can build processes and drive activity but struggles to earn the trust of scientific buyers or to translate the product's value into terms that resonate with scientists.
The companies that grow are the ones that close this gap. Not necessarily by finding one person who does everything (that person is rare and expensive) but by building a commercial function that combines both capabilities, whether through hiring, through fractional support, or through deliberate coaching and capability building.
Great science is the foundation. It is not sufficient.