Protect your data Privacy
in the age of AI

>1000x faster

GPU/FPGA/ASIC acceleration

Computation without decryption

CNN model inferencing

ZAMA
TFHE
1x [5000s]
Microsoft
CKKS
6.25x [800s]
ZionFHE
ZFHE
50000x [0.1s]

VGG model inferencing

ZAMA
TFHE
1x [18000s]
ZionFHE
ZFHE
900x [20s]

Logistic Regression

ZAMA
TFHE
1x [800s]
ZionFHE
ZFHE
8000x [0.1s]

Technology

Fully Homomorphic Encryption (FHE)

Fully Homomorphic Encryption (FHE) is a revolutionary encryption technology. It allows computation on encrypted data without decrypting it, enabling processing of sensitive information while maintaining confidentiality. It is the "Holy Grail" of cryptography.

FULLY

Support any type of operation, including arithmetic operations, and more complex functions.

ENCRYPTION

Encrypting a secret message so that only someone with the right key can decrypt.

HOMOMORPHIC

Ensure that after the encrypted data is calculated, the decryption result is consistent with the result obtained by performing the same operation on the original data.

Ultra-high acceleration

Compared to traditional FHE algorithms (such as Microsoft SEAL, TFHE, CKKS, OpenFHE) improved-up to 1000 times CPU/FPGA/GPU speed-ups. In different application cases, ZionFHE can be 5-1000 times faster. Accordingly, which greatly improve the accepting speed of encryption data.

Low Latency and High Throughput

Leveraging the powerful parallel computing capabilities of next-generation GPUs, the performance gap compared to plaintext computation is theoretically only 10 times, and throughput scales linearly with the increase in GPU cores.

Adaptation to AI Inference Scenarios

While protecting data privacy, it supports efficient inference in public AI models, saving enterprises the cost and resources of building private AI systems.

Technological Breakthroughs and Practical Implementation

Multiple comparative tests have shown that in tasks such as CNN, VGG model inference, and logistic regression, ZionFHE demonstrates significant speed advantages and stability, making privacy-preserving AI applications truly practical.

SECURITY AND PRIVACY PROTECTION MECHANISMS

ZionFHE uses this technology to fundamentally solve the risk of data leakage in the process of processing and ensure the security of the whole life cycle of data.

End-to-End Encryption Protection

Data remains encrypted from generation, transmission, storage, to computation, eliminating the need for decryption and preventing sensitive information leakage caused by decryption operations.

Zero Key Risk

The server does not need to store or manage decryption keys. Even if the system is attacked, decrypted information cannot be obtained, significantly reducing security risks.

Dual Protection for Models and Data

In privacy-preserving AI application scenarios, both the input data and the AI model are protected during inference, preventing data leakage during interactions between the two parties.

Products

Privacy AI Agent solution

Easy-to-use API FHE Language on HTML/LLM Efficient and secure AI models

Enterprise-Level Solutions of privacy protection

End-to-end encryption Various application scenarios Customized solutions

Blockchain and crypto ecosystem applications

Advanced smart contracts and blockchain security Low latency and high-efficiency solutions Enterprise solutions

Roadmap

ZionFHE will focus on validating the feasibility and commercial value of FHE in real-world business scenarios in the short term. By collaborating with early partners, the goals include:

Short-term Goals

Creating a production-ready set of core libraries and APIs to enable more complex use cases by offering an unprecedented level of data privacy and security.

Developing industry partnerships and expanding into financial services, healthcare, and high-value data protection scenarios.

Comparing and evaluating products in high-security-sensitive sectors such as finance, healthcare, and government applications, finding higher performance for specific problems.

Medium-to-Long term Goals

Expanding enterprise adoption and integration with existing security infrastructure and compliance frameworks.

Building industry-specific templates and solutions for seamless implementation.

Establishing ZionFHE as the standard for secure collaborative computation across industries.

About

ZionFHE is a cutting-edge technology enterprise dedicated to the research, development, and commercial application of Fully Homomorphic Encryption (FHE) technology. Founded by four co-founders possessing global-level expertise in cryptography, security, and high-performance computing, we combine this knowledge to create breakthrough innovations in privacy-protecting computing and high-speed cryptographic implementations.

ZionFHE has successfully created confidential AI technology, enabling businesses to securely process sensitive data without fully decrypting it. Our team possesses world-class cryptographic knowledge, writing cutting-edge academic papers, and collaborating with high quality institutions worldwide. ZionFHE is committed to revolutionizing data privacy protection, and intelligent digital ecosystems.

ZionFHE's mission is to "protect user privacy and promote the widespread adoption of AI." By leveraging the most advanced homomorphic encryption technology, we aim to achieve encrypted protection of data throughout its entire lifecycle, ensuring that data is not leaked or misused during transmission, storage, and processing.

Our vision is to become the world's leading provider of privacy computing infrastructure, building a secure, transparent, and sustainable digital future. Under this vision, we hope to drive the integration of emerging technologies such as artificial intelligence, blockchain, and cloud computing, creating a highly efficient and secure data ecosystem for various industries. We strive to ensure that every piece of data can be maximally protected without sacrificing its commercial value, and to assist enterprises in achieving data-driven intelligent transformation.

ZionFHE adheres to a corporate culture of "innovation, collaboration, integrity, and mutual benefit." We believe that only by continuously pursuing technological innovation and product excellence can we remain invincible in the increasingly competitive market; only through openness and cooperation can we collectively address the global challenges of data privacy protection; only by upholding integrity can we gain the trust and support of customers and partners; and only by striving for mutual benefit can we promote the sustainable development of the entire ecosystem.

The company encourages every employee to actively explore and bravely break through, advocates knowledge sharing and teamwork, and focuses on customers to continuously elevate industry standards and social value through technology and services. Our culture is not only the spiritual bond within the company but also a crucial driving force in propelling ZionFHE to become a pioneer in privacy computing.