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Cambridge Enterprise works in collaboration with University of Cambridge academics, researchers, students and staff across a broad spectrum of disciplines, from biosciences to engineering and more.
We help them develop their ideas into innovative and transformative opportunities that could enable your organisation’s next generation products.
The list below displays all of the opportunities we are currently marketing. However, we welcome enquiries and work with companies on an individual basis to identify particular areas of interest.
If you would like to learn more about any of the opportunities below, please get in touch.
If you would like to keep up to date with the latest opportunities, please subscribe to our newsletter.
Molydenum disulfide added to the cathode of lithium-sulfur batteries results in high performance cells with energy densities that could open up weight critical applications such as flight to Li-ion power.
Kerfed design solutions: sustainable, foldable wooden walls for flexible, dynamic living solutions
An AI tool to reduce image segmentation – a key determinant to radiotherapy treatment plans for cancer patients – from hours to 1-2 minutes.
A clinically validated machine learning algorithm, developed to ISO standards, to enable tailored care pathways for dementia patients and optimised clinical trial design.
Charged sorbent materials, such as a hydroxide-functionalised activated carboncloth, rapidly absorb CO2 from ambient air and can be regenerated via resistive heating at <100°C.
In this invention, photoreforming is combined with an enzymatic pretreatment step which allows unsorted waste plastics to be converted into a variety of breakdown products.
A new process for the synthesis of green ammonia which integrates the synthesis and separation in a single vessel, with 0-100% ramping capabilities to cope with the intermittencies of renewable energy
Wearable with novel highly accurate sensors for long term monitoring of electrophysiology signals with improved sensitivity.
A new method to maximize the information extracted from flow-MRI data, using prior knowledge that the imaged object is a flow within a vessel network.
A cricket bat with a blade made from engineered bamboo, providing good stiffness, surface hardness, energy transfer, a larger sweet spot area, and good vibration performance.