About Blyss

Provides Confidential AI models that use homomorphic encryption and secure enclaves to process data in an encrypted state, ensuring that no unauthorized party, including the service provider, can access sensitive information. This approach eliminates data leaks during AI training and inference, enabling secure development of tools like code copilots, semantic search, and personalized assistants without compromising privacy.

```xml <problem> AI models often require access to sensitive data for training and inference, creating a risk of data leaks and privacy breaches. Existing security measures may not fully prevent unauthorized access to data during processing, especially when using third-party AI platforms. This lack of robust data protection hinders the development and deployment of AI applications in privacy-sensitive domains. </problem> <solution> Blyss provides a confidential AI platform that uses end-to-end encryption and secure enclaves to process data within a trusted execution environment. This approach ensures that data remains encrypted even during AI model training and inference, preventing unauthorized access by any party, including Blyss itself. By leveraging hardware-based security, Blyss enables organizations to develop and deploy AI-powered code copilots, semantic search, and personalized assistants without compromising data privacy. The platform offers browser-enforced security, verifying the server's confidentiality proof through a public Certificate Transparency log. </solution> <features> - End-to-end encryption to protect data during AI processing - Secure enclaves utilizing NVIDIA Hopper GPUs and AMD Genoa CPUs for trusted execution environments - Public attestation logs for continuous verification of confidentiality guarantees - Rust SDK for private data access built on homomorphic encryption - Shuffle-and-perturb proxy for use with vector databases like Pinecone - Support for code copilots, semantic search, and personalized assistants </features> <target_audience> Blyss targets organizations that require the highest levels of data privacy and security when developing and deploying AI models, including those in regulated industries such as finance, healthcare, and government. </target_audience> ```

What does Blyss do?

Where is Blyss located?

Blyss is based in San Francisco, United States.

When was Blyss founded?

Blyss was founded in 2022.

How much funding has Blyss raised?

Blyss has raised 500000.

Location

San Francisco, United States

Founded

2022

Funding

500000

Employees

1 employees

Major Investors

Y Combinator

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Blyss

Score: 100/100

AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

blyss.dev 50+

Crunchbase

Founded 2022 – San Francisco, United States

Funding

Estimated Funding

$500K+

Major Investors

Y Combinator

Team (<5)

No team information available. Click "Fetch founders" to run a focused founder search.

Company Description

Problem

AI models often require access to sensitive data for training and inference, creating a risk of data leaks and privacy breaches. Existing security measures may not fully prevent unauthorized access to data during processing, especially when using third-party AI platforms. This lack of robust data protection hinders the development and deployment of AI applications in privacy-sensitive domains.

Solution

Blyss provides a confidential AI platform that uses end-to-end encryption and secure enclaves to process data within a trusted execution environment. This approach ensures that data remains encrypted even during AI model training and inference, preventing unauthorized access by any party, including Blyss itself. By leveraging hardware-based security, Blyss enables organizations to develop and deploy AI-powered code copilots, semantic search, and personalized assistants without compromising data privacy. The platform offers browser-enforced security, verifying the server's confidentiality proof through a public Certificate Transparency log.

Features

End-to-end encryption to protect data during AI processing

Secure enclaves utilizing NVIDIA Hopper GPUs and AMD Genoa CPUs for trusted execution environments

Public attestation logs for continuous verification of confidentiality guarantees

Rust SDK for private data access built on homomorphic encryption

Shuffle-and-perturb proxy for use with vector databases like Pinecone

Support for code copilots, semantic search, and personalized assistants

Target Audience

Blyss targets organizations that require the highest levels of data privacy and security when developing and deploying AI models, including those in regulated industries such as finance, healthcare, and government.