Fully homomorphic encryption (FHE) enables computations on encrypted data without decryption, supporting outsourced tasks with encrypted private data. However, traditional FHE lacks verifiability, risking incorrect results. BAVO Labs' zkFHE combines FHE with zero-knowledge proofs to ensure computation integrity while maintaining performance, ideal for confidential and privacy-focused applications.
The value of data is recognized by enterprises and individuals, creating economic impact. Effective data monetization requires maximizing value while minimizing privacy violations.
A data provider supplies encrypted data to the BAVO Network, using FHE encryption, and stores it on decentralized blockchains like Arweave and Filecoin. They can earn a portion of the computation fee for data usage.
A worker in the BAVO Network provides computing resources, runs zkFHE on encrypted data, and ensures confidential computing. It must generate a zero-knowledge proof during computations, contributing to the secure environment and resources of the network.
A caller uses BAVO Network's computation and data resources, specifying encrypted data for tasks. They receive the results of the computation and must pay for the service, utilizing data provided by data providers.
BAVO SDK is a collection of developer tools. Developers can leverage the verifiable confidential computation capability of BAVO Network through this SDK and implement various privacy-centric applications that can be alive in BAVO Network.
BAVO retrieves data via standard TLS protocol with the coprocessing of MPC. The MPC-TLS solution ensures authenticity and security during data retrieval processes.
Build your own portal to collect your data, create and share data proofs. Data privacy is well preserved through the whole lifecycle.
Provide both SDK and APIs toolkits for developers and business partners to build data-driven features..
Enable convenient access to Web2 and Web3 services, while efficiently generate arbitrary data proofs.
Use our APIs, SDK, and data source templates to develop your own solution stacks. Connect more internet data to fulfill Web3 applications and ecosystems.
BAVO is a decentralized computation network based on advanced cryptography like zkFHE. BAVO leverages the power of fully homomorphic encryption (FHE) and zero-knowledge proof (ZKP) techniques to revolutionize the way that sensitive information is processed and protected. With a focus on seamless integration and innovative solutions, BAVO empowers any computation nodes to perform computations on encrypted data while preserving computation integrity and data confidentiality.
As our society evolves at an accelerated pace, the increasing reliance on sensitive data necessitates a balanced approach toward safeguarding this valuable asset. Existing systems cannot fully resolve the paradox of privacy protection and utilization of sensitive data, and various computational issues during data processing require further reliable integrity measures.
BAVO creates a fortress of computational security through cryptography. Within the boundary of this fortress, any individual or organization can use BAVO's technologies such as zkFHE and zkAttestation to trust-lessly compute and authenticate sensitive data with maximum programmability and security.
Essentially, the underlying worker network supports privacy-preserving computations from multiple blockchains, and BAVO's developer toolkits provide user-friendly interfaces, enabling developers to swiftly integrate diverse types of privacy-centric authentication and computation logic.
BAVO is a privacy-oriented data computation infrastructure presented specifically for workers, callers, and developers.
BAVO encourages individuals or organizations to contribute their idle computing powers to provide the zkFHE computation capability to the network with incentives in return.
Callers can publish zkFHE computation tasks for preferred data confidentiality and computation integrity. They can also require the necessary data inputs from the other participants within this network.
Workers can deploy BAVO nodes on different blockchains and perform the computation for callers.
Developers can simply create specialized applications that require complicated private data computation like numeric compare, blind metric, and even privacy-preserving model inference, without worrying about the underlying cryptography. In addition, BAVO's innovative zkAttestation solution provides an efficient method for integrating user data across multiple Internet platforms, eliminating the need for complex and time-consuming data synchronization processes whilst ensuring compliance with stringent data protection laws.
Beyond the core network participants, BAVO's lightweight dApp, BAVO extension, empowers users to manage their personal data, safeguarding privacy in all life spheres. Users can access this unique portal for importing, updating or deleting their internet data from various data sources, all while maintaining privacy and sharing benefits.
BAVO network contributes to the callers with multiple benefits:
Chain-agnostic: Both BAVO's zkFHE and zkAttestation computation capabilities are chain-agnostic, meaning all the dApps on different blockchains can seamlessly utilize the cryptographic computation within one standard.
Openness: BAVO's zkFHE and zkAttestations techniques are open to all the developers. In addition, the BAVO network economically incentivizes developers from different communities like cryptography, distributed systems, DeFi, AI and other areas to contribute with their technical resources to co-build the privacy-centric sandbox.
Confidentiality and Privacy: BAVO's key goal is to handle private information appropriately in the whole lifecycle of the data. Specifically, BAVO adheres to data minimization principles by using zero-knowledge proofs and fully homomorphic encryption when performing data computations to derive data confidentiality and protect user privacy.
Verifiability: The equipped zero-knowledge proofs of FHE computations ensure each operation within the computation task is publicly verifiable for integrity and correctness, which significantly reduces the trust assumption of the outsourced computation paradigm.
Performance: The zkFHE protocol uses advanced cryptography with highly optimized implementation to achieve the practical outsourced computation on encrypted private data.