MIT-INCUBATED Optimum raises $ 11m to form the missing web3 layer memory using RLNC
Optimum, a decentralized, improving the memory of the performance memory for any blockchain, raised a $ 11 million seed rotation, inviting its creators from institutions such as Harvard and MIT to jump from the world of the academy to the commercial crypto arena.
The seed round is led by 1kx with participation from robot ventures, finality capital, Spartan, CMT digital, SNZ, Triton Capital, Big Brain, CMS, Longhash, NGC, Animoca, GSR, Caladan, Reforge and more.
Optimum is the development of the so -called missing layer of memory of blockchains, which makes the data stored, accessible and propagated, faster, cheaper and truly decentralized, according to a press release.
At the core of optimum change is a means of decentralized coding for shared systems, known as Random Linear Network Coding (RLNC)developed by Muriel Médard, a MIT professor speaking to Consensus Toronto 2025.
“If you think web3 as a decentralized computer in the world, people have done an amazing job in the compute part; let’s say, the operating system,” Médard said in an interview. “But anyone combined with a computer knows that you also need a bus, which is the propagation of data, and you need a memory, which we call random accessing memory, compared to more static memory like a disk or cloud.”
Without a scalable layer of memory, blockchains are facing systematic futilities, according to Médard, such as outdated gossip networks that greatly propagate data, congested memepools that cause unpredictable delays and flowering nodes that make costly and complex.
The optimum memory infrastructure is ridiculed by poor data propagation, redundant storage and slow access, using the Médard’s RLNC coding scheme.
The Optimum now lives on a private testnet and invites the L1S, L2S, validator and node operators to experience the decentralized layer of memory acting.
