How much did Fractile raise?

Fractile raised $15 Million in a Seed round on July 26, 2024.

Where is Fractile based and how big is it?

Fractile is based in London, England, United Kingdom. Fundz records about 87 employees.

Who are the decision-makers at Fractile?

Fundz holds 2 contacts at Fractile. Names and contact details are shown to Fundz members.

Fractile secures $15M in Seed funding to build better hardware for AI inference

PRIVATEJul 26, 2024

Amount Raised

$15 Million

Round Type

Seed

LondonArtificial IntelligenceTransportationMachine LearningImage Recognition

Description

UK AI chip company Fractile has announced $15 million in Seed funding to build its first new AI chip, capable of running state-of-the-art AI models up to 100x faster and 10x cheaper than existing hardware.

Quick answer

Fractile raised $15 Million in a Seed round, dated July 26, 2024. Fractile is based in London, England, United Kingdom.

How much did Fractile raise?: Fractile raised $15 Million in a Seed round on July 26, 2024.
What does Fractile do?: Fractile is building chips to run large language models two orders of magnitude faster.
Where is Fractile based and how big is it?: Fractile is based in London, England, United Kingdom. Fundz records about 87 employees.
Who are the decision-makers at Fractile?: Fundz holds 2 contacts at Fractile. Names and contact details are shown to Fundz members.

Source: Fundz verified event record.

Who else raised in Transportation and Image Recognition around the same time

Companies in the same sectors as Fractile that raised within 45 days of this round, from Fundz verified event records.

Loti AI raised $5.2M (Seed) on June 27, 2024.
GreyLabs AI raised $1.5M (Seed) on June 18, 2024.
Waabi raised $200M (Series B) on June 18, 2024.
All Hands AI raised $5M (Seed) on September 9, 2024.
Eartheye Space raised $1.5M (Pre-Seed) on September 9, 2024.
Stylus raised $653K (Seed) on September 6, 2024.

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Company Information

Company

Fractile

Location

London, England, United Kingdom

About

Fractile is building chips to run large language models two orders of magnitude faster. Existing hardware is good for training LLMs, but very poorly suited to subsequent inference of the trained model, which is increasingly the dominant workload. A network’s weights need to be moved onto a chip once per word generated, and this movement takes a few hundred times longer than the subsequent computations themselves. Fractile’s revolutionary approach to fusing computation with memory eliminates this bottleneck, and can scale to allow running the world’s largest models at a global scale.

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Fractile raised. Fundz records a round at a median of 3.6 minutes from the SEC filing, with the decision-maker attached.

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