
ToffeeX helps engineers generate optimized industrial component designs quickly by using physics rather than trial-and-error. The company provides a cloud-native, B2B SaaS generative design platform that combines physics-driven AI and multi-physics simulation to produce high-performance, manufacturable shapes for parts such as cold plates, heat exchangers, heat sinks, and manifolds. The platform outputs designs compatible with additive manufacturing, machining, stamping, and chemical etching workflows and is used by engineering teams in aerospace and thermal management. ToffeeX accelerates design cycles from days or weeks to hours while improving thermal performance and enabling more sustainable products.

ToffeeX helps engineers generate optimized industrial component designs quickly by using physics rather than trial-and-error. The company provides a cloud-native, B2B SaaS generative design platform that combines physics-driven AI and multi-physics simulation to produce high-performance, manufacturable shapes for parts such as cold plates, heat exchangers, heat sinks, and manifolds. The platform outputs designs compatible with additive manufacturing, machining, stamping, and chemical etching workflows and is used by engineering teams in aerospace and thermal management. ToffeeX accelerates design cycles from days or weeks to hours while improving thermal performance and enabling more sustainable products.
What they do: Cloud-native, physics-driven generative design software for thermal/fluids and multiphysics components
Founded / origin: Founded 2019 from Imperial College London research
Customers / use cases: Designs manufacturable parts (cold plates, heat exchangers, heat sinks, manifolds) for aerospace and thermal management
Funding signal: Raised multiple rounds totaling roughly $7.0M–$7.3M; Series A announced Nov 8, 2022 (≈£5M)
Engineering design optimization for thermal and fluid systems, replacing trial-and-error with physics-driven AI and simulation.
2019
DeepTech
£5,000,000
Series A announced Nov 8, 2022; reporting names Presidio Ventures and East Innovate/East Alpha as lead/participating investors
“Presidio Ventures, East Alpha / East Innovate, IQ Capital, Exor (Exor Ventures), Excellis, Type One Ventures, Aerospace Xelerated, Ashley Unitt, Imperial College London, Presidio Ventures”
Our platform, Toffee, is an engineering design tool that automatically creates mechanical component designs for engineering. It leverages a combination generative design techniques to design components that outperform their existing counterparts.
At ToffeeX we are at the forefront of developing numerical methods for engineering design. By bringing numerical simulation to the cloud, we bring this cutting edge research to industry and create immense opportunities for the design engineer.
Working closely with our clients, some of the biggest players in aerospace, automotive, energy transition and more, we revolutionise the user experience and automation in engineering software. At the same time, we design our architecture to industry leading reliability and security standards, essential to highly sensitive projects.
The position:
In this role, you will work closely with software engineers and scientists, on our cloud platform, used to create designs for cutting edge applications that range from supersonic aircraft to microprocessors and from Formula 1 cars to coffee pots!
We primarily look for flexible engineers that will fit well to our growing team. The following experience and skills will be useful for the role along with the willingness to develop in other areas as needs arise.
Company Benefits
Due to our recent growth, we have moved into a new office based in Central London where the team have a great space for collaboration.
We have a fantastic culture within the company where each one of our team members is dedicated to helping ToffeeX become the best in the industry. ToffeeX has recently been named in the Startups.co.uk 100 Index 2025!
Our company benefits are as follows:
*Available once probationary period has been successfully completed.
Interview Process
Usually the following: