Designing climate tech for deployment

For many climate technologies, proving that something works is only the beginning. The harder question is whether the technology can actually be deployed: who understands the problem, who can build and operate the solution, and who is willing to finance the next stage.

Too often, these pieces are solved sequentially. A startup develops a technology, finds a customer, looks for an implementation partner, and only then approaches investors. But for industrial climate technologies, decisions about deployment and financing can shape the technology itself from the beginning.

Increasingly, the reverse is also true: what companies learn through deployment can improve how the next generation of solutions is discovered and developed.

Moji Karimi is CEO and co-founder of Cemvita. We sat down with him to discuss why climate founders should think about deployment earlier, how to align the different parties needed to bring technologies into the field, and why investors can play a role as design partners rather than simply sources of capital.

Start with the problem owner

Deep tech and climate companies often begin with a technical opportunity: a new process, material, or system that could improve an existing industrial process. But the tech itself is only one part of the equation.

The organizations experiencing the problem often understand the constraints that determine whether a solution can succeed. This means they can provide an insight into the operating conditions, economics, and practical challenges that a technology will need to address.

Without that context, startups can spend years optimizing a solution that works in controlled conditions but struggles in the environment where it needs to operate. 

The relationship with the problem owner also goes beyond a traditional customer relationship. In industrial climate technologies, the operator experiencing the challenge may provide the data, operational knowledge, and real-world environment needed to shape a solution that can actually be deployed. Bringing that perspective in early helps ensure the technology is being developed around a real need rather than a theoretical application.

A technology needs to fit within the broader system around it, including the available inputs, operating requirements, economics, and needs of the eventual user.

This changes the starting point for discovery. Rather than asking only, “What can this technology do?”, companies can begin with, “What problem needs to be solved, and what would have to be true for a solution to work at industrial scale?” That allows technical discovery and commercial reality to inform each other from the beginning.

Design the deployment pathway early

For industrial climate technologies, commercialization involves more than the company developing the technology.

A successful deployment typically requires coordination between four groups: the innovator, the problem owner, the implementation partner, and the financial partner.

The innovator develops the solution. The problem owner provides operational context, access to real-world conditions, and a clearer understanding of what the solution needs to achieve. The implementation partner helps translate the technology into something that can be built and operated. The financial partner helps determine how the project can move from development into deployment.

This is important because startups are rarely best positioned to build every capability required for commercialization. A company that develops a breakthrough technology may not also have the expertise, infrastructure, or relationships needed to construct projects, manage operations, or scale internationally.

Bringing the right partners in earlier allows each organization to contribute what it understands best. The problem owner contributes knowledge of the challenge. The implementation partner helps ensure the solution can be deployed. The startup focuses on developing the technology.

Done well, this turns discovery and deployment from two separate processes into a connected system. Technical performance, feedstock availability, process design, scale-up requirements, economics, and customer needs can be de-risked together rather than addressed one after another.

Make the project financeable before raising capital

For investors, technology risk is only one part of the equation.

A project can have promising technology and still be difficult to finance if there is uncertainty around the customer, implementation pathway, operating model, or economics. Each unresolved question adds another layer of risk.

Before seeking capital for deployment, founders should understand which uncertainties can be reduced. That may involve securing customer commitments, identifying implementation partners, validating performance, or demonstrating that the economics work at commercial scale.

Reducing these uncertainties does not eliminate risk. But it changes the type of risk investors are being asked to take.

Creative financing works best when capital providers are helping solve a specific remaining challenge, not when they are being asked to absorb every uncertainty surrounding the project.

Bring investors into the design process

Investors are often brought in after a company has already decided what it wants to build and how it wants to finance it. But for complex climate projects, capital providers can also help shape the path forward.

Early conversations can help founders understand what milestones matter, what risks need to be addressed, and what structure would make a project investable.

This does not mean approaching investors before the fundamentals are clear. Founders still need a strong understanding of the problem, the technology, and the deployment pathway.

The value comes from creating a dialogue around the remaining questions: what needs to be true for this project to scale, and what role can each partner play in getting there?

Build a pathway

The first commercial deployment is rarely the end goal. For climate technologies to have meaningful impact, companies need a pathway that allows successful projects to be repeated.

That requires understanding not only whether a technology works, but also whether the surrounding system can support it: who will deploy it, who will operate it, who will finance it, and how the model can expand.

It also means capturing what is learned along the way. Experimental results, process performance, economics, scale-up experience, and operating data can inform which solutions are pursued next and how they are developed.

This is where AI can become particularly valuable. As companies build proprietary datasets across discovery, development, and deployment, AI can help connect information that has traditionally lived in separate technical and commercial workflows. The opportunity is not simply to make individual experiments faster, but to make the entire discovery-to-deployment cycle more intelligent.

A technically successful solution can still struggle to reach the market if those pieces are addressed too late.

For climate founders, the challenge is not only discovering new technologies. It is designing the partnerships, operating models, and financing structures that allow those technologies to become real. And over time, the goal should be to create a learning loop: deployment informs discovery, discovery improves deployment, and each project makes the next one faster and more likely to succeed.

Moji Karimi is CEO and co-founder of Cemvita, an industrial biotechnology company building a BioSolutions Discovery Platform for natural-resource industries. Cemvita combines biology, AI, proprietary data, and industrial domain expertise to discover, de-risk, and deploy biological solutions for complex industrial challenges. Karimi’s work focuses on connecting technology development with real-world deployment by bringing together industrial problem owners, technology and implementation partners, and capital providers earlier in the development process.