Optalysys was formed to solve some of the fundamental limitations of conventional computing. This comes at a time when the unquenchable thirst for faster processing ever expanding volumes of data comes face to face with the impending demise of Moore's Law.
Our optical co-processors use low power laser light, rather than electricity, to perform processor intensive convolution functions in parallel at incredibly high speeds and resolutions, yet taking only a fraction of the energy used by electronic processors.
Such functions are the basis of Convolutional Neural Networks (CNNs). CNNs are a burgeoning area of Deep Learning, used to classify and recognise images in applications including autonomous vehicles to recognise and make intelligent judgements on signs or obstacles on the road; in medical image analysis to identify potential causes of a patient’s symptoms so surgeons can make better informed decisions and in weather forecasting to more accurately predict the next natural disaster.
Our technology is hugely scalable - our first systems already offer an order of magnitude performance increase over top end graphics processors. Our upcoming systems will see this capability push beyond the limits of what can be realised through conventional computing, by employing the most naturally parallel processing medium there is - light. Through our unique, patented designs, our systems will be available in the cloud; High Performance Computing (HPC) systems and desktop computers. Miniaturised systems will also be integrated into mobile systems and even hand held devices, using component technologies that are available today.
Scientific Advisory Board
2018: First product launches
2017: DARPA seedling project completed under the ACCESS program; Innovate UK project with the Earlham Institute successfully completed
2016: Multiplexed correlator designs implemented
2015: Completed re-configurable, lens-less prototype
2015: Awarded Horizon 2020 project with ECMWF
2015: Awarded Innovate UK project in partnership with the Earlham Institute
2014: Designed and patented alignment method for integrating multiple components
2013: Developed lens-less modular optics concept
2013: Shifted focus to big data and model simulations and formed Optalysys
2012: Developed reconfigurable optical processors
2009: Completed optical derivative processor proof of concept
2007: Built and sold “Solid block” rugged lens-less military correlators
2006: First HD SLMs became available in the market
2003: Developed compact Joint Transform Correlator Systems
2001: Cambridge Correlators Spun out from Cambridge University