Jacomo Corbo
Co-founder of PhysicsX alongside Robin Tuluie.
Last refreshed: 15 June 2026 · Appears in 1 active topic
What AI expertise did the QuantumBlack co-founder bring to PhysicsX's $2.4bn Series C?
Timeline for Jacomo Corbo
PhysicsX hits $2.4bn on Temasek cash
UK Startups and Innovation- Who is Jacomo Corbo and what is his role at PhysicsX?
- Jacomo Corbo is CEO and co-founder of PhysicsX, the London physics-AI company. He joined in February 2023 and leads the company's day-to-day operations and technical strategy. Before PhysicsX he was Chief Scientist at QuantumBlack and a McKinsey Partner.Source: PhysicsX
- What is QuantumBlack and how did Jacomo Corbo found it?
- QuantumBlack was an advanced analytics company Corbo co-founded in 2009, originally applying machine learning to Formula 1 strategy. McKinsey acquired it around 2015, and Corbo scaled the practice to over 1,500 technical practitioners as its chief scientist.Source: QuantumBlack / McKinsey
- What does PhysicsX's AI actually do and how fast is it?
- PhysicsX builds AI models that replace conventional CFD and FEA simulation runs. Its geometric deep learning approach can accelerate simulations by between ten thousand and one hundred thousand times, collapsing multi-day runs to under a second.Source: Harvard SEAS alumni profile / PhysicsX
- How much has PhysicsX raised and who are its investors?
- PhysicsX raised $300m in a Series C in June 2026 at a $2.4bn valuation, led by Temasek. Investors include Atomico, Nvidia, Siemens, Applied Materials, General Catalyst and new backers M&G Investments and Intrepid Growth Partners.Source: PhysicsX Series C announcement
Background
Jacomo Corbo is CEO and co-founder of PhysicsX, the London physics-AI company that closed a $300m Series C at a $2.4bn valuation in June 2026, led by Singapore's Temasek. Corbo joined as co-CEO in February 2023, taking over day-to-day leadership as Robin Tuluie moved to a chairman role. The company has since doubled its headcount to 350, tripled its booked revenue, and expanded its customer base across aerospace, automotive, semiconductor and energy sectors.
Corbo holds a PhD in computer Science from Harvard's School of Engineering and Applied Sciences, where he researched algorithmic game theory under David Parkes, and a BEng in electrical engineering from McGill University. His applied career started at Renault F1 as a race strategist during the championship years of 2005 and 2006. In 2009 he co-founded QuantumBlack, an advanced analytics company that began in motorsport and expanded to industrial clients before McKinsey acquired it around 2015. As Chief Scientist at QuantumBlack and a McKinsey Partner, he scaled the practice to over 1,500 technical practitioners. He subsequently held a Canada Research Chair at the University of Ottawa and a senior fellowship at the Wharton School.
At PhysicsX, Corbo's technical approach centres on geometric deep learning applied to physics simulations, using neural operators that learn continuous function-to-function mappings governed by physical laws. The company's LGM-Aero model was trained on over 25 million geometries and tens of thousands of CFD simulations. Corbo frames these as "large physics models", the engineering-simulation analogue of large language models.