Supply chain startup Atmospheric AI raises £7m led by DBL Partners with RAISE
This article covers Atmospheric AI, a supply chain startup that has raised £7m in a seed funding round to scale its computational models of industrial raw-material production and sell that visibility to manufacturers' sourcing teams. The funding will expand coverage beyond plastics into chemicals, paper and metals and deepen work with around 100 manufacturers, supporting procurement teams seeking cost, carbon and resilience analysis across industrial supply chains.
Atmospheric AI, a supply chain startup, has raised £7 million in a seed funding round to scale its computational models of industrial raw-material production and sell that visibility to manufacturers' sourcing teams. The funding will support expansion beyond plastics into chemicals, paper and metals, and deepen work with an initial cohort of around 100 manufacturers — a response to growing demand for cost, carbon and resilience analysis across industrial supply chains.
Why it matters
Manufacturers often have detailed knowledge of their own operations but limited visibility into the upstream plants, logistics and economics that determine raw-material price and carbon intensity. Atmospheric AI aims to turn that black box into a set of computable models so procurement teams can judge whether a supplier price increase is justified, identify alternative producers, or assess the impact of route disruptions on cost and emissions.
That kind of transparency matters as companies face tighter supply-chain scrutiny, higher commodity volatility, and investor and regulatory pressure to report and reduce embodied carbon. A tool that quantifies trade-offs across cost, carbon and resilience could change how sourcing conversations start.
Inside the product
Atmospheric combines chemical engineering, plant economics and industrial-process modelling to map the global industrial system from upstream fields and pipelines through refineries, chemical plants, terminals and shipping routes. The company says it runs about 50,000 facility models and uses them to simulate what a material should cost, how its carbon footprint is structured, and how supply shocks propagate through networks — without relying on suppliers to share confidential operating data.
The startup highlights a few proof points. In one test it reproduced a producer's published carbon footprint to within 4.4 percent without access to that producer's internal data. During the Hormuz disruption, Atmospheric worked with a manufacturer that had been presented with a proposed price increase; by modelling the underlying production economics, the team arrived at a different estimate of the cost change and provided a new opening point for the customer's negotiation. To date much of the work has focused on plastics; the new funding is earmarked to extend coverage to chemicals, paper and metals.
Torsten Lichtenau will join Atmospheric as Founding Chief Commercial Officer. He spent 22 years at Bain & Company, most recently as Senior Partner and Global Head of Carbon Transition. The company also received the Early Stage award at the DPW Awards 2026 in Amsterdam, signalling early industry recognition.
In the announcement, Chris Low, Head of Sustainability Procurement at Haleon, said:
For almost two years, Haleon has worked closely with Atmospheric AI to change how we source resins. We now start from what a material should cost, its carbon footprint and the risks in its supply chain, rather than from what a supplier quotes us.
Who are the investors?
The £7 million seed round was led by DBL Partners, with participation from RAISE, Broadscale, Norrsken Evolve, Working Capital Fund, Flex Capital, tiny.vc and Anamcara. As part of the round, Vinnie Caruso of DBL Partners will join Atmospheric AI's board.
In the announcement, Vinnie Caruso of DBL Partners, said:
Manufacturers deeply understand their operations, but the industrial supply chains they depend on remain a black box. Atmospheric AI combines engineering expertise with AI to give manufacturers unprecedented visibility to make faster, smarter, and more sustainable sourcing decisions. That's exactly the kind of industry-changing innovation DBL Partners seeks to back.
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Founder perspective
The founders frame Atmospheric as an attempt to build a computational model of the raw-material economy: not only individual plants but the supply networks that connect them. The approach pairs domain expertise in chemical engineering with machine learning to scale modelling work across thousands of facilities.
In the announcement, Roee Goldberg, Co-founder & CEO at Atmospheric AI, said:
Our ambition is to build a computational model of the raw material economy. We want manufacturers to be able to understand the plants and supply networks behind everything they buy, and use that understanding to make better decisions. Chemical engineering gives us the foundation to do that. AI allows us to tackle it at a much larger scale.
The bigger picture
Atmospheric AI sits at the intersection of procurement digitisation, industrial decarbonisation and supply-chain risk management. For UK and European manufacturers — and the procurement teams that serve them — tools that can produce defensible estimates of cost and carbon without intrusive data sharing could change negotiation dynamics and accelerate low-carbon sourcing decisions.
The funding also reflects continued investor interest in enterprise tools that bring domain expertise to bear on hard, data-sparse industrial problems. As regulation and buyer expectations push companies to disclose and reduce supply-chain emissions, expect more startups and established vendors to target raw-material transparency and embodied-carbon analytics across Europe.
They've invested in Atmospheric AI
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