OctaiPipe is a Federated Learning Operations (FL-Ops) platform tailored for Edge AIoT devices. We streamline the entire lifecycle, from effortless setup and training to seamless deployment, fine-tuning, and continuous learning. This allows data scientists to build distributed IoT solutions that learn and adapt at scale while minimising the overhead of monitoring, management, updates and audit.

OctaiPipe

Exciting news! 

Today we announce that we have secured £3M in pre-Series A funding, plus a £500K grant of non-equity funding 🎉

This investment will enable us to further accelerate the development of our Federated Learning platform and meet growing customer demand across critical industries including Energy, Utilities, Manufacturing, and Telecoms. 

And the good news doesn’t stop there. 

We’re thrilled to welcome Arnaud Lagarde to the team who joins us as our Chief Revenue Officer to lead Octaipipe’s commercial development. 

We would also like to say a very big thank you to our investors SuperSeed, Forward Partners, D2 Fund, Atlas Ventures, Martlet Capital, Gelecek Etki Fonu and Deeptech Labs for backing the next stage of our journey.

You can read the full details below ⬇️

We are thrilled to announce that OctaiPipe will be at The Shipbuilding & Lifecycle Technology 4.0 online event hosted by TECH 4.0 🚢 

Our CEO and Co-Founder Eric Topham will present his talk, "AI at Sea: Federated Edge AI in Maritime Systems" at 12:25 PM EST on Friday 26th January. 

His talk will cover:
👉  Looking for advanced technologies to drive greater efficiency, autonomy, and time at sea 

👉 Enhancing AI applications in shipbuilding, ship operations and navigation

👉 The challenges, innovations and solutions, and possible applications of federated Edge AI in shipping

The virtual exhibition is live until 9th February for you to use and meet with us at the OctaiPipe virtual channel ⚓ 

Attendance is free for all shipowners, operators/managers, and shipyard employees. Register below 👇 

#shipbuilders #shipbuilding #shipyards #federatedlearning #edgeai #criticalinfrastructure 

Today, I am thrilled to announce that OctaiPipe has secured £3.5M in pre-series A funding, including a £500K grant.

To explain how this investment will help us scale our Federated Learning platform for Critical Infrastructure, I sat down with Cate Lawrence at Tech.eu to discuss all things data security, rising cloud costs and how we’re optimising critical systems.

I just want to say a huge thank you to our incredible team and investors SuperSeed, Forward Partners, D2 Fund, Atlas Ventures, Martlet Capital, Gelecek Etki Fonu and Arm-backed Deeptech Labs. Your continuous support enables us to address a fundamental concern in our digital age: data privacy, security and efficiency.

It is also the right time to say a huge thank you to Paul Calver with whom I set up the original t-dab.ai and has now sailed off into the sunset, retiring and stepping down as Chairman of the company. Ivan, George and myself, along with many others at OctaiPipe, owe a debt of gratitude to Paul for helping us get to where we are today. Paul has been all of colleague, mentor and friend and from myself and everyone at OctaiPipe, thank you.

You can read my full interview below:

#AI #CriticalInfrastructure #FederatedLearning #IoT #FLops #EdgeAI

There's a new AI game in town: Federated Learning.

Affectionately known as "FL", Federated Learning allows data scientists to run AI at the Edge on IoT devices, minimising cloud dependency and protecting data security. 

But to deliver FL's full value, data scientists need a scalable way to orchestrate and manage distributed machine learning across large networks of intelligent devices... 

Enter our client OctaiPipe 🐙 

They've just raised a £3 million pre-series A from SuperSeed, Forward Partners, D2, Atlas Venture, Martlet Capital, Gelecek Etki Fonu, Deeptech Labs and £500,000 in Innovate UK grant funding to bring their trustworthy end-to-end Federated Learning Operations (FL-Ops) platform to critical infrastructure operators and OEMs. 

For more on the raise - and an excellent primer on Federated Learning - read OctaiPipe's CEO and co-founder Eric Topham's interview with Tech.eu's brilliant Cate Lawrence here 👉

https://lnkd.in/dJhuP5qR

#federatedlearning #machinelearning #ai #platform #paas #datascience #criticalinfrastructure #oem #vc #startup #preseriesa #investment 


Download our latest eBook, "Introducing FL-Ops: The Future for MLOps at the Edge," and explore the latest #IoT application trends.

The era of collaborative intelligence has arrived...

With FL-Ops, it is now possible to automate the ML lifecycle in decentralised IoT environments 💪

Download your free copy: https://bit.ly/3u0hQuY

#TinyML #MLOps #OctaiPipe #FederatedLearning

Chief Technology Officer

Owner

Machine Learning Tsar

Third party developer

Associate Consultant

CTO and Co founder

Ivan Scattergood

Head of Projects and Delivery

Director, Solutions Delivery

Sr Project Manager

Project Manager, Programme Manager

Head of Projects and Delivery at Octaipipe

Loredana Rubino

CGO & Co-founder

Director Of Business Development

Head of Business Development

Business Development Consultant

Consultant

Junior Consultant/ Project Manager

Junior Consultant/ PMO Consultant

World Travel Break

Barclays Customer Services Team Senior

Materials Research Assistant

Marketing Coordinator

Federated Learning & Edge MLOps platform sales leader

George Hancock

Chief Executive Officer

Member AI Council

Chief Scientist

Data Scientist

CEO & Co-Founder @ OctaiPipe

Eric Topham

Chief Revenue Officer (CRO)

Vice President of Global Sales

VP Europe

Owner, Principal consultant

Sales Director

EMEA Sales Director

European Sales Manager - Workload Automation

Application Sales Director - EMEA APAC

Sales Manager

UK General Manager

Account Manager

Chief Revenue Officer - Federating Learning Operation Platform & EdgeIOT Intelligence. Revenue growth and operations for technology and AI companies.

Arnaud Lagarde

OctaiPipe is a distributed Edge AI platform that combines Federated Learning and Edge MLOps to deliver scalable and secure AI for IoT devices. They enable critical infrastructure companies to deploy on-device machine learning across any IoT device network, making infrastructures more efficient, sustainable, resilient, and secure.

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