Optimum, a decentralized memory layer for blockchains, has finalized an $11 million seed funding round to bridge the gaps in Web3 architecture.

Key Highlights:

• Web3 currently lacks an efficient memory layer, impacting scalability and use.
• Random Linear Network Coding (RLNC) is proposed to enhance data handling in decentralized networks.

Optimum is spearheaded by innovators from prestigious institutions, transitioning their expertise into the commercial blockchain sector. The funding round was headed by 1kx, with notable contributions from Robot Ventures, Finality Capital, and others.

According to a recent press release, Optimum’s technology aims to improve how data is stored and shared in blockchain environments, making them faster and more cost-effective. The foundational innovation is based on RLNC coding, pioneered by Muriel Médard from MIT, who emphasizes the need for a scalable memory system in decentralizing architectures.

In her interview, Médard remarked, “If you consider Web3 as a decentralized computer, it’s vital to have efficient data propagation akin to memory systems found in traditional computing.”

The challenges outlined include inefficient data flows, congested transaction pools, and the resource intensity involved with current systems. Optimum is available on a private testnet and is welcoming various blockchain operators to test its capabilities.