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 significant improvements in latency, throughput, energy and cost. Growth is unsustainable using traditional software-only solutions and constrained by many general-purpose AI inference chips.

Our vision is to produce machine learning inference solutions which meet the exacting demands of tomorrow’s real-time inference workloads 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 Achieves 5.1 Microsecond Latency in Financial LSTM Inference Benchmark with VOLLO

Unrivalled latencies achievable by FSI companies with no FPGA design expertise

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Myrtle.ai achieves unrivalled latencies in STAC-ML™ benchmarks with its VOLLO product

Enables financial firms to make faster and more intelligent ML decisions

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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 speech synthesis

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 the founder of Myrtle.ai, which has focused on hardware-software co-design for efficient machine learning inference and other core data-center workloads since 2017. Through Peter, Myrtle.ai was instrumental in setting up the speech transcription benchmark for MLPerf. Peter previously founded a software development company which wrote distributed data center software. He was also a Senior Technical Director at several multinational visual effects companies. Peter holds a PhD in Pure Mathematics from Cambridge University, UK.

Liz Corrigan

Chief Product Officer

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.

Tom Lagatta

Executive Chairman

Tom was previously Executive Vice President of Sales and Marketing at Marvell Technology. Prior to joining Marvell in 2016, Tom spent 12 years at Broadcom in a variety of executive leadership roles, including EVP of Business Development, EVP of Worldwide Sales, and SVP and General Manager of the Enterprise Computing Group. Tom earned an M.S. in Electrical Engineering from the University of Southern California and a B.S. in Electrical Engineering from Ohio State University.

Giles Peckham

Head of Marketing

Giles has global experience in design, sales and marketing roles with ASIC, FPGA and IP companies. Since 2018 he has focused on FPGA acceleration for machine learning applications and he joined Myrtle.ai in 2019.

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.

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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