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Giving you an unfair advantage, to take you from where you are to where you want to be
Giving you an unfair advantage, to take you from where you are to where you want to be
92% of our portfolio recommend working with us
Story78% of our companies have successfully raised a Series A
PortfolioBecause we know it takes more than funding for a startup to survive and thrive; the right support goes beyond writing cheques
ThesisIt’s a step towards the tomorrow we all want to live in
ContentCollaboration is Queen: Our female founder network has collectively raised £600m
Female FoundersIt’s never too early for an initial conversation
Pitch usThe Go-To Place to Answer Any Question About Your Network
NetFabric is on a mission to build the next-gen network observability platform.
They're integrating all your network data sources into one seamless experience, delivering real-time answers to every network question. By harnessing the latest advances in generative AI and cutting-edge mathematical modeling, their platform helps network professionals tackle issues faster, spot crucial alerts, foresee future challenges, and unlock the full potential of AIOps. Welcome to the future of network observability!
Engineers spend extensive time dealing with alerts that require interpretation, including false positives and negatives. Most existing network monitoring solutions are outdated and ineffective at diagnosing problems or recommending solutions. They often only examine parts of the network, such as traffic flow, rather than the entire network. This incomplete approach results in downtime repeatedly happening, and high engineer costs for activities that do not generate revenue.
NetFabric operates at the intersection of AIOps and network monitoring, both of which are rapidly growing and highly attractive markets.
The AIOps market is projected to grow to USD 79.91 billion by 2029, with a compound annual growth rate (CAGR) of 24.01%. Valued at USD 3.34 billion in 2023, the global network monitoring market is expected to reach USD 8.30 billion by 2032.
It would be very difficult to find another team as well qualified to succeed here as Beni, Tobi and Marlene. They are world-class academics, but also have a nuanced commercial understanding of the issues at hand.