As part of its efforts to provide a verifiable solution to randomness and secure computation needs on its decentralized science platform, Nanovita, a DeSci protocol, today entered into a strategic partnership with ARPA Network, a blockchain-agnostic Layer-2 computation network. This collaboration allowed Nanovita to integrate ARPA Network’s decentralized computing infrastructure to provide an additional layer of trust and reliability to its decentralized health science services.
NanoVita is a DeSci (decentralized science) protocol that uses nanotechnology, real-world health data, and AI biological intelligence to operate a permissionless and transparent health research network aimed at enabling nanoscience research and development. Using its native token (NANA), this DeSci platform operates an open, global network where nanomaterials are used to improve human health and performance.
🥳Meet our new partner: @arpaofficial
ARPA Network is a decentralized, secure computing network that enables verifiable RNG, cross-chain bridges, and secure custody infrastructure across multiple blockchains.
NanoVita × ARPA: Confidential randomness meets verifiable science that… pic.twitter.com/qWHsyJasQf
— NanoVita (@Nanovita_Labs) May 16, 2026
NanoVita supports health applications with the randomness of ARPA
The above partnership enabled NanoVita to leverage ARPA Network’s privacy-preserving computing infrastructure to enhance AI-powered decentralized health science services on its DeSci protocol. ARPA Network is a decentralized secure computing network with expertise in improving the fairness, security and privacy of blockchain networks. The secure multi-party computation and threshold signature schemes provide on-chain projects and Web3 developers with a flexible tool to build privacy-oriented applications that move across numerous blockchains.
Through the above integration, NanoVita launched ARPA’s decentralized and verifiable Random Number Generator (RNG) on its DeSci protocol, enabling its decentralized health science services to access randomness that is cryptographically secure, verifiable on-chain, and resistant to cyber-attacks and manipulation. Adopting ARPA’s decentralized and verifiable Random Number Generator (RNG) will allow NanoVita to build decentralized health applications that rely on trusted random outcomes (with unpredictability and therefore resistant to tampering or tampering), without relying on opaque centralized systems.
Improving the Web3 user experience
Through the collaboration, both NanoVita and ARPA Network share a broader vision for a more reliable, scalable and application-ready on-chain.
Nanovita focuses on studying how advanced nanomaterials can improve human health, enhance physical recovery, and accelerate long-term health outcomes and performance. To achieve this, the DeSci protocol combines real-world health data, AI inference models and decentralized research frameworks to generate scientific studies (findings), which are then converted into digital assets on the blockchain, ensuring immutability and transparency of research results. On the other hand, ARPA provides a crucial randomness infrastructure that helps Web3 projects and developers build decentralized applications with more robust fairness guarantees and cryptographic integrity.
Randomness means unpredictability of outcomes, which implies that no application can be predicted. Predictability of applications can lead to cybersecurity risks. However, because computers are fundamentally deterministic, no computer can provide 100% randomness. This is the problem that ARPA Network solves using its decentralized and verifiable Random Number Generator (RNG) infrastructure.
For Nanovita, this partnership unlocks new possibilities for compelling and reliable decentralized health applications, backed by randomness that users can trust. For ARPA, this is another important alliance that allows it to bring its decentralized and verifiable Random Number Generator (RNG) infrastructure to more blockchains and Web3 ecosystems where reliability, transparency and fairness in the chain matter.