Rapid advances in the development of ever-more-complex machine learning algorithms and an explosion in the use of machine learning to introduce AI into all walks of life is massively increasing demand for compute capacity and the energy required to power it. The need for low latency in real-time applications is exacerbating that trend. Growth is unsustainable using traditional software-only solutions.

Our vision is to produce machine learning inference solutions which meet these exacting demands using minimum compute capacity and minimum energy, thus advancing the vast potential of machine learning to enhance our lives without costing the planet.


Myrtle.ai is proud to be a founding member of MLCommons

New open engineering consortium established to accelerate innovation in ML

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Myrtle.ai delivers up to 16x throughput advantage for ASR using WaveNet

Achieves high fidelity speech synthesis at lower cost using Intel® Stratix® 10 NX FPGA

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Myrtle.ai Solves Core Recommendation Model Challenge with SEAL

Enables large cost savings with a straightforward scale up of existing infrastructure

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Myrtle releases optimized speech inference solution for the Intel® FPGA PAC D5005 platform

Reduces costs and removes growth constraints for businesses offering speech services

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Myrtle.ai selected to provide artificial intelligence benchmark code for internationally recognised competition

MLPerf selects myrtle.ai to provide benchmark code for Speech To Text

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Peter Baldwin


Peter is known for his data center software. He directly produced and supported simulation visual effects on twenty major Hollywood movies. He has a maths PhD and a special interest in the mathematical foundations of deep learning.

Liz Corrigan

Head of Engineering

Liz runs Myrtle.ai’s engineering operations. Liz has been running teams to create FPGA based products and systems for over 15 years. She has developed state of the art mobile telecommunications equipment, shipped defence systems into theatre and led verification activities for security critical applications. Liz is a Chartered Engineer with a technical background in RTL design, verification and electronic systems design.

Brian Tyler

Commercial Director

Brian has held C-level roles in management, sales & marketing at several international software and hardware companies.

Amy Murphy

Directors’ PA & Office Manager

Amy has over 20 years of experience in business administration, including many years within a leading international consulting firm. As PA to the CEO, Commercial Director and Head of Engineering, Amy uses her project management qualification and experience to ensure operational efficiency in the delivery of the company’s key goals and in providing support to the Board. Amy runs the Myrtle.ai office, coordinating events, meetings, functions, business-wide recruitment and supports all areas of the business.

Mike Ashby

Senior FPGA Engineer

Mike is an expert in the design, test and optimisation of complex FPGA based products. In previous roles he has developed new products including a multi-constellation, global navigation satellite system receiver and a software defined meshing radio.

Jon Fowler

Senior Developer

Jon is an expert in the testing and verification of functional programs. At Myrtle.ai he is one of the lead developers of the MAU Accelerator.

Christiaan Baaij

Lead Architect

ENIAC award winner. Senior functional developer on Myrtle.ai’s neural net hardware team.

Jonathan Shipton

Software Lead

Cambridge University educated computer scientist and expert on functional programming and its applications to low level systems.

Douglas Reid

Principal FPGA Engineer

Doug has extensive experience in FPGA and hardware architecture and design. Prior to joining Myrtle.ai, Doug has had roles in startups and consultancy, finding innovative solutions to customer problems.

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If you’re interested in the efficient deployment of AI-based services using inferencing on DNNs, we’re interested in hearing from you.

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