We provide cutting-edge solutions for secure computation on encrypted data
Our software enables multi-party computation, allowing clients to execute algorithms on their encrypted inputs while ensuring privacy and security. The result is an encrypted output, along with a certificate that proves the computation is valid. Our platform is perfect for applications like anonymous identity verification, secure client-side computations, and distributed heavy computations across a network.
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aisther is for…
ID Verification
Users can prove their identity or age without revealing any personal information. The software can verify the user’s data (e.g., age, citizenship) while keeping all personal information encrypted, making it ideal for applications requiring minimal disclosure, like online services, government applications, and secure platforms.
Distributed Computing
By using a network of computers to share the computation load, this use case allows complex algorithms to be processed faster and more efficiently. For instance, financial institutions can run risk assessments on encrypted data across multiple servers without compromising security.
Client-side computing
Clients can perform sensitive computations on their encrypted data without exposing the raw data to the server or other parties. For example, a healthcare provider can compute complex health-related algorithms on encrypted medical data, ensuring patient confidentiality.
Secure voting system
Our technology can be used for secure, anonymous online voting. Voters’ identities and votes are encrypted, ensuring privacy while maintaining verifiable results. This can apply to political elections, corporate governance, and online polls.
Confidential Machine Learning
Machine learning models can be trained on encrypted data, allowing organizations to develop models while maintaining data privacy. This can be particularly useful in industries like finance and healthcare, where sensitive personal information is involved.
Blockchain and cryptographic proofs
Using multi-party computation, organizations can ensure that blockchain transactions are valid and comply with predefined conditions, all while maintaining the privacy of the participants. The cryptographic proofs generated offer verifiable proof of correct computation.
Roadmap
Q2 2024-Q3 2025
Research and Development
Finalize the multi-party computation protocol, encryption methods, and algorithm performance. Conduct internal testing and audit for security and efficiency.
Early alpha realease
Test the system internally with a select few users to identify initial bugs and performance issues.
Q4 2025
Beta Launch
Open up the software for external testing, inviting select early adopters and clients.
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Q3 2026
Public release
Release of the commercial version of aisther.
Frequently Asked Questions
What is Multi-Party Computation (MPC)?
Multi-Party Computation (MPC) is a cryptographic technique that allows multiple parties to jointly compute a function over their inputs without revealing their private data to each other. In the context of our software, it enables secure computations on encrypted data, ensuring that no party has access to the unencrypted inputs or outputs.
How does your software ensure data privacy?
We rely on the most recent academic work on cryptography to process data while it remains encrypted, meaning that neither the server nor any other parties involved in the computation can see your sensitive information. Only the result of the computation and a certificate proving the validity of the result are shared. Your input data remains secure and private throughout the entire process.
What types of data can I compute using aisther?
Aisther can handle any form of encrypted data, such as numerical data, text, images and more. The input data must be encrypted before being used for computation. The software is versatile and can be used across industries such as healthcare, finance, government, and any other sectors where data privacy is critical.
How is the computation verified?
Each time a computation is completed, our software generates a cryptographic certificate that proves the result is valid and has been computed correctly. This certificate can be used to prove that the output is the correct result of applying the encrypted input to the algorithm, ensuring that the computation was done securely and correctly.
How does aisther support distributed computing?
Aisther allows the distribution of heavy computations across a network of machines, enabling faster and more efficient processing. This is particularly useful for applications that require significant computational power but must maintain data privacy, such as financial risk modeling or large-scale machine learning tasks.