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Today we accelerate performance critical workloads on FPGAs : devices that are currently being deployed at scale in data centers around the world. We have a particular focus on deep learning and have realized multiple proprietary deep learning networks as silicon designs so that they execute at a latency and power point that makes them usable in real-world situations. We are currently targeting our technology at inference workloads in data centers and we’re involved in a major collaboration to address the safety and verification challenges that currently preventing sophisticated deep learning networks being used in road vehicles

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Myrtle’s clients have included NYSE and NASDAQ listed companies in LA, Vancouver and London as well as a major automotive OEM and a government department. We have a proven track record of deploying cutting edge proprietary software and hardware into companies on time and on budget

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Myrtle was founded to develop software and services for public and private data centers. Originally specializing in image processing and large scale simulation Myrtle helped produce computer generated content for over 20 major Hollywood blockbusters

Key Staff



Peter has run Myrtle since founding it. Peter has a pure mathematics PhD from Cambridge University and has a special interest in the mathematical foundations of deep learning. He wrote and licensed Myrtle’s first commercially available software: a suite of simulation tools that ran at huge scale in private data centres. The first commercial software Peter ever wrote was used to help produce the chocolate river in Tim Burton’s film “Charlie and the Chocolate Factory”.



Chief Scientist

David has a background in mathematics and theoretical physics. He completed a PhD at Durham University and postdoctoral research at the University of Toronto. After a long period in industry managing Quantitative Analysis teams, he returned to research in the areas of machine learning and theoretical neuroscience. His interests are in understanding the type of algorithms that can allow intelligent agents to operate safely and effectively in complex, dynamic environments. This will require a deeper understanding of the statistical properties of learning algorithms, in order to guarantee robustness and safety, and also algorithmic advances to handle the rich problem solving capabilities needed for this kind of behaviour.


Lead Architect

Christiaan Baaij has a PhD from the University of Twente in the field of computer science and is the principal developer of the CλaSH compiler. Before that, he studied Embedded Systems, where he won the ENIAC best thesis award.

Christiaan Baaij has been programming in Haskell since 2009, and since then, he is always keen on trying to figure out ways to effectively use GHCs latest language extensions for doing circuit design in Haskell.


Commercial Director

Brian has a degree in Cybernetics and originally worked on applying formal predicate logic to a computer syntax used in architectural CAD evaluation. This led to a wider interest in using computers and 3D software for creative visualisation in broadcast media, commercials and film.

Over the past 20 years however he has stepped away from coding and successfully focused on working with start-up tech visualisation companies to identify markets, build revenues and find commercial success.

Brian has held many C-level roles in management, sales and marketing in a number of UK and international software and hardware companies including SoftImage, Cambridge Animation, ARTVPS and Mackevision and he has worked with many global clients including Warner Bros. Feature Animation, Dreamworks Animation, Rolls Royce Motors, BMW GmbH and Mercedes.


Board Member

Robert is an entrepreneur specialising in early stage technology companies. He is the Chairman of Audio Analytic Ltd, and a board member of Undo Software Ltd, Knowledge Transmission Ltd and Movidius Ltd.

Robert is also a board member of the Cambridge Angels and the Greater Cambridgeshire and Greater Peterborough Local Enterprise Partnership (GCGP LEP). Robert was one of the two co-founders of innovative Cambridge semiconductor company Alphamosaic (acquired by Broadcom) and Executive Chairman of Green Parrot Pictures Ltd (acquired by Google in 2011).

Robert graduated from Trinity College, Cambridge, in Electrical and Information Sciences and gained a PhD in video processing at Cambridge University Engineering Department. He has also published more than 15 patents.



Robert Sansom is the founder of the Cambridge Angels, a group of seasoned technology and biotechnology entrepreneurs who invest in and mentor technology start-ups. Prior to becoming an angel investor, he co-founded FORE Systems, a leading developer of high-speed data networks. FORE was founded in 1990, went public on NASDAQ in 1994, grew to more than 2,000 employees and was sold to Marconi in 1999. He has a Ph.D. in Computer Science from Carnegie Mellon University in Pittsburgh, USA and an M.A. in Computer Science from the University of Cambridge.