Highlights:

  • The data doesn’t need to be encrypted before calculation due to Nillion’s technology, which keeps it safe and hidden while work is being done.
  • Nillion has established relationships with blockchain partner networks to broaden the scope of its decentralized ecosystem, even though its decentralized infrastructure is not blockchain-based.

Nillion raised USD 25 million in the latest funding for trust-sensitive computational network, that emphasizes decentralized networking with the choice of blockchain component.

With assistance from Distributed Global and Hashkey, Hack VC led the financing. The round also included strategic contributors and angel investors from companies like Worldcoin, Arbitrum, and Sei. Nillion has raised over USD 50 million, including a USD 20 million fundraising round in December.

The startup’s decentralized peer-to-peer architecture enables what it refers to as “blind computing,” which allows data to be processed and stored without the participants disclosing its contents. The data doesn’t need to be encrypted before calculation due to Nillion’s technology, which keeps it safe and hidden while work is being done. This improves security and privacy by preventing outside parties from viewing the data.

According to the business, that is essential for many sectors where privacy is crucial, including finance, healthcare, and artificial intelligence applications.

“Nillion was founded three years ago to build a future where high-value data can be secured through decentralization and privacy-enhancing technologies (PETs) such as secure multi-party computation (MPC) and homomorphic encryption,” Nillion stated.

Nillion has established relationships with blockchain partner networks to broaden the scope of its decentralized ecosystem, even though its decentralized infrastructure is not blockchain-based. The business has concentrated on appealing to AI networks, which learn on vast volumes of data. The basis for AI services that could operate on proprietary data without requiring direct access would also be provided by private and secure interactions between AI and data.

Recently, the company and Ritual collaborated to create a peer-to-peer AI production network that could analyze data without disclosing its nature. Ritual’s use of blockchain technology enables AI models to be deployed on its infrastructure, enabling both blockchain and traditional businesses to carry out AI activities on dispersed virtual computers. Additionally, Nillion has collaborated with the blockchain networks of NEAR, Aptos, and Arbitrum.