February 28, 2025
Optimum, a blockchain infrastructure company specializing in decentralized memory solutions, has secured funding in an angel round backed by key figures in the Web3 sector. The company, co-founded by MIT professor Muriel Médard, is introducing Random Linear Network Coding (RLNC) to blockchain technology. Originally developed for large-scale distributed networks in telecommunications and aerospace, RLNC is expected to improve data transmission efficiency and scalability across blockchain ecosystems.
The funding round includes support from industry leaders such as Abhijeet Mahagaonkar (CTO, Polychain), Arthur Cheong (Founder, DeFiance Capital), Gracy Chen (CEO, Bitget), Robinson Burkey (Co-founder, Wormhole), Sandeep Nailwal (Co-founder, Polygon), and others. Optimum's approach involves decentralized Random Access Memory (deRAM) and peer-to-peer data propagation, which aim to optimize blockchain storage and accelerate transaction speeds. The company’s solutions are designed to support Layer 1 and Layer 2 networks, validators, and developers by reducing bandwidth consumption and operational costs.
Optimum plans to launch a private testnet in March, allowing blockchain networks and validators to integrate and assess the technology. The company’s memory infrastructure seeks to enhance data handling capabilities, improve transaction efficiency, and address scalability limitations in blockchain ecosystems.
About Optimum
Optimum is developing decentralized high-performance memory infrastructure for blockchain networks. Using RLNC, a technology applied in 5G and IoT systems, the company aims to improve data propagation and storage efficiency in decentralized environments.
Website: https://www.getoptimum.xyz/
X: @get_optimum
About Investors
Optimum’s funding round includes contributions from investors and executives affiliated with Polychain, DeFiance Capital, Bitget, Wormhole, Polygon, Babylon, Jump Crypto, and Solana, along with co-founders of Aethir, Aztec, Espresso, Magna, Pyth, Taiko, Zama, and ZkCloud.
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