Partisia Blockchain offers privacy-focused, scalable blockchain solutions through advanced MPC technology. More
Fully Diluted Valuation | $9.98M |
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24H Trading Volume | $10,745 |
24H Low / High | $0.02 / $ 0.02 |
Circulating Supply | 359.86M |
Total Supply | 578.95M |
Max Supply | 1.00B |
Categories | Layer 1 (L1) 4 more |
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Founder | Kurt Nielsen 1 more |
Website | partisiablockchain.com |
Socials | 4 more |
Explorer | Partisiablockchain |
Name | Pair | OG Score |
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Partisia Blockchain stands at the intersection of advanced cryptographic techniques and blockchain technology, offering a unique solution to some of the most pressing challenges in digital privacy and security. Launched with the mission to enable trust, transparency, privacy, and rapid finalization in blockchain transactions, Partisia leverages over 35 years of research in multiparty computation (MPC) to create a platform where data privacy is not just a feature but an inherent property of the system.
The core of Partisia Blockchain is its ability to facilitate computations on encrypted data without compromising the confidentiality of the data involved. This is achieved through Secure Multiparty Computation (MPC), which allows multiple parties to jointly compute a function over their inputs while keeping those inputs private. Here's how Partisia functions:
Privacy Preservation: Partisia enables private, encrypted data activation, making it quantum-resistant and more secure than traditional methods, especially in scenarios like secure on-chain voting or handling sensitive financial data.
Scalability: By integrating sharding into its layer 1 architecture, Partisia distributes computational and storage workloads across the network, ensuring high transaction throughput and rapid finalization even during peak times.
Interoperability: The introduction of a collateralized token bridging system allows for seamless interactions between different blockchain networks, promoting a more integrated and efficient Web3 ecosystem.
MPC-as-a-Service: Developers can leverage Partisia's MPC tools without needing deep cryptographic knowledge, enabling them to build privacy-focused applications across various sectors like finance, healthcare, and identity management.
Use Cases:
Secure Data Sharing: In industries where data privacy is paramount, such as healthcare or finance, Partisia's technology allows for collaborative analysis without exposing underlying data.
Decentralized Identity (SSI): Partisia enhances Self-Sovereign Identity solutions by allowing users to control their identity data with no intermediaries, ensuring data privacy and security.
Confidential Computing: For AI and machine learning applications that require privacy-preserving computations, Partisia offers a platform where data can be processed securely.
Blockchain Interoperability: Its token bridge facilitates cross-chain transactions and value transfers, making it easier for different blockchain ecosystems to interact.
Private Auctions: By integrating MPC, Partisia enables platforms to offer sealed bid auctions, ensuring that bids remain confidential until the auction's conclusion.
Founders and Backing:
Partisia Blockchain was founded by a team with extensive expertise in cryptography, blockchain, and distributed systems. Notable founders include:
Kurt Nielsen: Co-founder, instrumental in integrating MPC with blockchain for enhanced privacy.
Ivan Damgård: A renowned cryptographer known for his contributions to MPC technology.
The project has garnered attention from investors like SBI Holdings, which invested in Sepior, a spin-out from Partisia focusing on threshold cryptography solutions. This backing underscores the confidence in Partisia's technological approach and its potential impact on the blockchain landscape.
Partisia uniquely combines blockchain with MPC technology, focusing on data privacy with scalability and interoperability.
Partisia was co-founded by Kurt Nielsen and Ivan Damgård, experts in blockchain and cryptography.
Investors include SBI Holdings, which has backed Sepior, a company originating from Partisia's initial work.
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