OctaiPipe to boost edge AI delivery with £3.5 million funding
End-to-end edge AI platform OctaiPipe has raised £3 million (roughly $3.8 million) in pre-Series A funding and a £500,000 (around $635,000) grant from Innovate UK. The pre-Series A round was led by SuperSeed with Forward Partners, D2, Atlas Ventures, Martlet Capital, Gelecek Etki VC and Arm-backed Deeptech Labs also participating.
According to the company, the money will allow OctaiPipe to further develop its proprietary Federated Learning technology and scale availability of the OctaiPipe platform for Internet of Things (IoT) dependent critical industries including energy, utilities, telecoms, manufacturing and connected device OEMs.
Eric Topham, CEO and co-founder of OctaiPipe, says: “The world depends on Critical Infrastructure not to fail but, more than that, to continually improve performance, remain secure and continually become more efficient and sustainable. It’s clear that AI has the potential to unlock massive gains in critical infrastructure, but only if we can trust that its critical data is secure.
“With OctaiPipe, data scientists working in sectors such as energy, utilities, telecoms and security can for the first time use a secure end-to-end platform to design, deploy and manage Federated Learning locally across Edge device networks and at scale. This £3.5 million in funding will enable us to continue advancing our proprietary technology and scale our operations to address this trillion dollar market so that the infrastructure we all rely on is smarter, more sustainable and secure.”
In addition to the funding, the company has also announced the appointment of Arnaud Lagarde as chief revenue officer, to lead Octaipipe’s commercial development. Prior to joining Octaipipe, Lagarde was the Vice President of Sales at Humanising Autonomy where he led the global sales efforts across Automotive, Autonomous Vehicles and smart city solution providers.
Launched in 2022, OctaiPipe provides data scientists and AI engineers working in critical infrastructure with an end-to-end Federated Learning Operations (FL-Ops) platform. The OctaiPipe platform aims to help its users deploy and automate AI to the edge, and orchestrate and manage distributed machine learning across scalable networks of intelligent IoT devices.
Available as a Microsoft Azure, AWS or Private Cloud Platform-as-a-Service (PaaS), the OctaiPipe platform is currently in deployment with over 20 customers and device OEMs, according to the company.
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Article Topics
appointment | edge AI | funding | OctaiPipe | OEMs
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