Risky business... why is de-risking deep tech an ongoing journey?

However, in deep tech, de-risking isn’t a box to tick in the early stages, it’s a continuous process that evolves as the company scales. Each stage of a startup’s journey requires identifying and reducing different types of risks, ensuring the company remains investable, scalable, and ultimately successful. Let’s break this down.

1. Technology validation (Pre-seed/Seed)

The first step is proving the science works. Can the technology perform under controlled conditions? Can it advance up the Technology Readiness Levels (TRLs) towards deployment in the real-world? This phase is about validating that the underlying idea is not just theoretically sound but practically feasible under actual conditions and in the environment it will ultimately be deployed in.

2. Engineering (scaling) risk

Once the science works, the challenge becomes whether it can be engineered into a reliable product, that can be produced at scale and at a reasonable cost. Many deep tech ventures falter here: the lab prototype works, but scaling it requires tackling manufacturability, reliability, supply chain, and cost curve challenges. This stage is crucial because even well-funded companies with promising early trials have failed by scaling too quickly without properly de-risking engineering. When this happens, unforeseen challenges e.g. from thermal management to integration bottlenecks to supply chain fragility often emerge only at scale, sometimes fatally. Careful de-risking here can prevent wasted capital, inform design pivots earlier, and increase the likelihood that scaling is sustainable.

3. Market risk

Even with a scalable product, who will ultimately buy it? De-risking the market means testing customer demand, identifying adoption drivers, and mapping headwinds and tailwinds. Are you solving a “hair-on-fire” problem? Will regulation or trends in adjacent markets accelerate adoption (e.g. trend in smart phone development accelerated the adoption and market for Uber)? This stage ensures you’re not building in a vacuum but keeping the customer at the centre of product development. Customer discovery is often something startups embark on once they have an MVP, but it doesn’t start and end there - some of the best companies we've seen are always talking to their customers and building not just for but with their customers.

4. Business model risk

A working product with demand is still not enough. De-risking the business model involves testing whether customers will pay, at what price points, and through what go-to-market channels could you reach them. How will the company generate not just revenue but profitability? Will it be product sales, SaaS, licensing, or a hybrid model?

5. Team risk

Perhaps the most underestimated risk is the team itself. Founders need to get along, assess their skills honestly, and fill gaps deliberately. A brilliant technical founder who can take a company from Seed to Series A may not be the right person to lead it through Series B or C. The ability to evolve the leadership team with the right skills at the right stage is critical. Ignoring this risk can create bottlenecks or cultural friction that derail even the most promising companies.

Beyond these core areas, other risks such as regulatory approvals, financing pathways, and competitive dynamics remain critical. But each build on the foundation of solid technology, careful engineering, validated markets, a viable business model, and the right team.

Continuous de-risking as a growth mindset

Ultimately, de-risking is not just about eliminating uncertainty in the early days, it’s about systematically reducing the biggest uncertainties at each stage of growth. Early on, it’s science. Later, it’s scale, markets, and economics. Even at maturity, companies must continually de-risk against competition, regulation, and macro shifts.