Fhenom is Fully Homomorphic Encryption hardware and software

Post-quantum Privacy

Available Products

FHE hardware acceleration (ASIC FHE) Learn more

FHE DataBase Learn more

FHE Machine Learning gate.io

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Why is FHE and ASIC FHE the future of security in the post-quantum era?

FHE allows any operations

on encrypted data without decryption

FHE allows analysis

on encrypted data without reviling it at any time

FHE is a post-quantum

encryption method which is still limited by slowness without the support of ASIC

Current encryption algorithms

such as RSA and ECC, may be vulnerable to hacking by upcoming quantum computers

Benefits

FHE DataBase protect sensitive information from external and internal breaches, protection from employees and administrators

#1 /

Breach protection

The breach of sensitive data is one of the world's biggest problems. According to an IBM report, 82% of data breaches involve data stored in the cloud. These breaches occur through employees, hacking of cloud solutions, or vendor backdoors in software or hardware.

#2 /

Risk reduction

Direct financial loss due to disclosure of confidential business information # Disclosure of sensitive information # Damage to reputation # Fines if personal information of European or American citizens is compromised

#3 /

Own hardware acceleration

Hardware accelerators is necessary for Fully Homomorphic Encryption. FHE is amazing but slow. Hardware accelerators are essential for FHE software to operate in real time.

#4 /

Independence

Independence from large corporations and governments of Western countries is ensured through the complete localization of the product: Qatar local software; Qatar local design chip; Qatar local IP for FHE cryptography

#5 /

Flexibility

We have several options for hardware acceleration production. And our software will be compatible with your existing system.

Operating principle / Development stages

In order to estimate the scope of work, the amount of FHE implementation equipment and the cost, it is necessary to know the following parameters:

Type of data

Type of sensitive data (numbers, texts, images, videos)

Structure of the sensitive data

We don't need access to the sensitive data itself.

Volume of data

Volume of the sensitive data. Volume of the sensitive data per second. Number of operations per second on sensitive data. Number of users with partial or full access to sensitive data.

Type of operations

Type of operations on sensitive data.

Technology stack

Approximate technology stack of the organization, names of software solutions used.

Our products

Each of us understands the obvious thing: the course towards a socially oriented national project provides a wide range of (specialists) participation in the formation of clustering efforts.

Confidential Credit Scoring Learn more

FHE Machine Learning Learn more

FHE Hardware acceleration Learn more

FHE DataBase Learn more

Partners

More than 100 regular customers and you can become one of them

Partners

More than 100 regular customers and you can become one of them

Company's news

As has already been repeatedly mentioned

And there is no doubt that careful research of competitors has been turned into a joke, although their very existence brings undoubted benefits to society. In particular, consultation with a wide range of assets reveals an urgent need for areas of progressive development.

12.09.2025

As has already been repeatedly mentioned

12.09.2025

As has already been repeatedly mentioned

12.09.2025

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