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London Tech Week

Cambridge startup Signaloid snaps £3M to propel real-time uncertainty advancements

Signaloid founder
Photo credits: Signaloid

In today’s modern era, computers heavily rely on compression techniques to interpret and understand the complexities of the real world. However, in order to account for all potential error scenarios, they must perform countless redundant calculations, necessitating modifications to their underlying software. Addressing this challenge head-on, Signaloid, a British company based in Cambridge, has emerged to revolutionise the computing process. By doing so, they enable companies to grasp real-time uncertainty and make autonomous decisions with greater confidence.

A significant breakthrough for Signaloid came in the form of a recent seed funding round, in which they secured £3 million. This investment was led by IQ Capital, a UK-based venture capital firm specialising in early-stage deeptech companies. IQ Capital, known for backing successful enterprises like AccelerComm and Apperio, saw the immense potential in Signaloid’s vision. Additionally, Type One and Creator Fund provided additional investment, solidifying the confidence in Signaloid’s capabilities.

With the newly acquired funding, Signaloid aims to scale its engineering implementations, allowing them to accommodate larger customers with more demanding workloads and a broader range of applications running on their Compute Engine platform. This expansion is expected to significantly increase the company’s revenue streams across its customer base.

Phillip Stanley-Marbell, Founder and CEO of Signaloid: “We are excited about the opportunity which the investment will provide for Signaloid to accelerate the adoption of our platform. The investment will allow us to further strengthen the team in strategic areas and to scale the number of use cases of our platform, from the hundreds of signed-up users we have on our developer platform today, to a larger number of production deployments of our cloud-based and edge-hardware compute engine, by our customers.”

Ed Stacey, Managing Partner and Co-Founder of IQ Capital: “We’re delighted to be working with Signaloid on its pioneering approach for a new generation of computation infrastructure. Their platform allows its customers to track uncertainties in data, and model probability distributions – all without any modifications to customers’ existing software, and in real-time. We’re excited to see how uncertainty quantification is becoming widely adopted in industry and finance, resulting in far better and more reliable end products.”

At the heart of Signaloid’s offerings lies a one-of-a-kind computing platform. Founded by Phillip Stanley-Marbell in 2019, the company provides a revolutionary solution that allows businesses to run their existing software without any modifications. Remarkably, this approach yields results that typically necessitate costly software changes and time-consuming Monte Carlo analysis. By leveraging Signaloid’s compute engine, systems gain the ability to automatically track variations in real-world data that would otherwise be concealed through averaging when fed to traditional computers. The advantage of Signaloid’s compute engine lies in its seamless integration with unmodified software, saving valuable development time and significantly accelerating computation. As a result, companies can easily quantify the impact of changes in their inputs and assumptions on their software’s outputs, reducing risk, meeting regulatory requirements, saving costs, and even potentially saving lives.

Signaloid’s cutting-edge technology finds applications in various fields, including materials modeling, autonomous systems, computational finance, machine learning, and quantum computing. The Signaloid Compute Engine is available for integration into companies’ cloud-based or on-premises computing infrastructure. In addition, Signaloid offers a Developer Platform, which allows individuals to explore the technology, build their own applications, and learn from the vast community of several hundred developers already engaged with the platform.

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