Ojamu raises £1.25m for its blockchain-based marketing platform

Ojamu, a marketing technology (MarTech) platform, has raised £1.25 million in an oversubscribed private sale.

The company leverages blockchain, AI, and NFTs to create automated digital marketing campaigns for brands.

The platform itself is designed to be interoperable across leading blockchain networks such as Ethereum, Solana, and Avalanche.

Among the many venture firms involved in the sale were Ascensive Assets, Master Ventures, Moonrock Capital, Morningstar Ventures, A195 Capital, Protocol Ventures, Genesis Block Ventures, Vendetta Capital, X21, Waterdrip Capital, Chain Capital, Rarestone Capital, and more.

Oliver Blakey, managing partner at Ascensive Assets, said: “We believe that as the blockchain and crypto space becomes increasingly competitive and mature as an industry, so will the need for advanced marketing solutions. The Ojamu team is building a platform which is incredibly adept in its thinking and usage and we’re looking forward to supporting them in every regard.”

Ojamu’s Intelligent Platform and Neural Predictive Engine collect and analyse hundreds of millions of data points at a far faster rate and level of efficacy than manual data collection and analysis.

The AI Ojamu uses is trained to connect with NFTs, making NFTs an access point for not only an industry vertical’s key data but also cross-correlating other previously unknown data points.

This helps brands conduct competitive research, identify market gaps, and make marketing decisions that have a higher probability of success due to their data-driven approach.

Want to learn more from executives at the heart of this space? The Blockchain IoT Solutions Congress, on November 2 2021, will explore the convergence of these two technologies and the use cases and industries that will benefit.

To read more about advances in marketing technology, be sure to visit Marketing Tech News.

Tags: AI, blockchain applications, blockchain marketing, marketing technology, martech, NFT, Ojamu

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