Scale up vs out

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Through continuous design optimisation and value engineering, we have a better understanding of what components are best repeated, what things are best made bigger to maximise cost and operational efficiency, which bits actually make the difference, and where effort is best spent for maximum impact. These learnings have enabled us to quickly make real-world efficiencies and achieve a 60% CapEx cost reduction across our first plants. They’ve also enabled more streamlined R&D, so we focus cost, time, and resource on the things that matter most.

In-house expertise

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By choosing to perform the majority of design work in-house instead of using EPCs, we have been able to be more flexible, innovative, and hands on in meeting our customers’ needs. We strongly believe that before you ask others to operate or build on your behalf, you should first become the world expert in deploying it yourself. We’ve been through the entire end-to-end journey of putting our DAC on the ground multiple times and lived the experience with our partners, allowing us to control quality and offer superior support.

Supply chain resilience

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We’ve massively increased both the maturity and scalability of our supply chain, evaluating over 270 suppliers across numerous work packages to secure the right relationships as well as guarantee access to the best-quality components as we grow internationally. This work spans countless site visits, equipment tests, and contract reviews, as well as developing a multi-dimensional supplier evaluation matrix and due diligence frameworks to ensure values-aligned, dependable, and technically excellent relationships which deliver for our customers.

Combining lab and real-world data

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Within our London labs we’ve built an integrated test platform containing the exact features of our second operational UK DAC plant which runs 24/7 to collect continuous data. This has allowed us to demonstrate that, even with a scale difference of 250x, our tech performs exactly as expected. Gathering and corroborating just under 7,800 hours of lab and in-the-field operational data this year alone has helped us make informed decisions for scaled-up designs as well as validate the accuracy of our models.