Accelerating
Encrypted Computation
Chain Reaction builds processors that make fully homomorphic encryption practical for large-scale encrypted computation. Our architecture enables high-performance computation on encrypted data, preserving privacy by design.
Media
Chain Reaction Researchers Publish New Work on Distributed Polynomial Generation for FHE Accelerators
The paper addresses a core architectural challenge in Fully Homomorphic Encryption (FHE) hardware acceleration.
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The Next Chapter for AI ASICs: Building the Privacy Pillar of AI
AI ASICs power today’s AI boom; privacy preserving AI accelerator will do the same for privacy protection.
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Chain Reaction Featured in 2025 Semiconductor Report
Chain Reaction is featured in Semiconductor Report 2025, mapping Israel’s semiconductor ecosystem and global trends.
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Resource Hub
AI Privacy: Recent Cases Underscore Urgent Risks
As AI becomes embedded in everyday services, new incidents highlight how fragile privacy remains in the AI era. From chatbots leaking private conversations to browser...
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FHE Compilers: Bridging Theory and Real-World Applications
In our last blog post we reviewed how libraries serve as ready-made cryptographic building blocks. In this blog, we’ll review compilers (or transpilers) that help...
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FHE Schemes – The Road to Practical Adoption
In our Fully Homomorphic Encryption (FHE) journey so far, we’ve looked at the history of FHE and introduced its immense potential for cloud computing and...
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