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Semiconductors Series B Founded 2022

Fractile

Fractile develops AI accelerator chips designed to radically speed up frontier model inference, enabling the most advanced AI models to run up to 25x faster and at one-tenth the cost. The company is building a new generation of processors where memory and compute are physically interleaved to deliver both low latency and high throughput simultaneously, serving thousands of tokens per second to thousands of…

📍 London, United Kingdom · Embedded Systems,

Funding snapshot

Last roundSeries B
Amount$220M
Date13 May 2026
Total raised$260M
Valuation6,573,244 (Feb 10, 2023)
Team size108

About

Fractile develops AI accelerator chips designed to radically speed up frontier model inference, enabling the most advanced AI models to run up to 25x faster and at one-tenth the cost. The company is building a new generation of processors where memory and compute are physically interleaved to deliver both low latency and high throughput simultaneously, serving thousands of tokens per second to thousands of concurrent users at a power budget and scale unmatched by existing hardware. This full-stack approach spans transistor-level circuit design through cloud inference server logic, addressing the exponential growth in token processing demand that exceeds 10x annually. Fractile technology enables massively longer context windows and complex autonomous tasks like research and software development, compressing days of human work into minutes. The company team includes world-class technologists spanning hardware design, systems engineering, and AI research, with offices in London and Bristol. Founded in 2022 and headquartered in London, United Kingdom, Fractile has raised $260 million in Series B funding from investors including Factorial Funds, Accel, Founders Fund, Inovia Capital, Conviction, Felicis Ventures, 8VC, Oxford Science Enterprises, and Kindred Capital.

Business model

Edge Computing > Edge AI Processors,

AI Infrastructure > Enabling Technologies > Hardware > Processors > In-Memory Computing,

Embedded Systems > Embedded Hardware > Core Processors > Application Specific Processors > AI Accelerator,

Digital ICs > Memories > Computational Memory

Team background

College Wise > University of Oxford

Institutional investors

Aria Kindred Capital NIF Oxford Science Enterprises Cocoa Inovia Capital Accel Factorial Funds Founders Fund Conviction Gigascale Capital 01 Advisors Felicis Ventures Buckley Ventures 8VC

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