@SunscreenTech

Add Fully Homomorphic Encryption (FHE) to your app in minutes, not months.

 encrypted
sunscreen.tech
Joined April 2021
  • Tweets427
  • Following17
  • Followers18.6K
64Media
🌞 Introducing SPF🧴🔒 Our Secure Processing Framework (SPF) enables developers to bring FHE to any web2 or web3 app in a performant and scalable way. ✅ One program, any chain ✅ State-of-the-art performance ✅ Future-proof with post-quantum security
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Sunscreen retweeted
ravital
@ravitalsSep 29
What cryptography makes it into production and is Ethereum diverging from the rest of industry as it prepares for the post-quantum transition? ravital.github.io/blog/2026/…
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Fhenix
@fhenixJul 8
We took over the fhenix buildathon in mumbai with @SunscreenTech more to come during @EFDevcon
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Fhenix
@fhenixJul 2
Scaling FHE, Quantum Resistance & Encrypted Blockchains: Fhenix x Sunscreen Aquisition xitter.cf/i/broadcasts/1dGYllAbj…
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Fhenix

Scaling FHE, Quantum Resistance & Encrypted Blockchains: Fhenix x Sunscreen Aquisition

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blocmates.
@blocmatesJul 2
Fhenix 🤝 Sunscreen, a blocmates interview.
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Excited to announce that Sunscreen is being acquired by @fhenix! We’ve spent 4+ years building at the frontier of applied cryptography. As we got to know the Fhenix team over the last year, it’s become clear they’ve built a powerhouse team (@GuyZys, @GuyItz, @ChrisPeikert, @l_woetzel, @laurenmxv to name just a few) best positioned to bring production-grade FHE to the world. Our mission continues at Fhenix, and our work remains open-source under the AGPL license. We’re deeply grateful for all the support from the community, our investors, and our friends through these years, especially NuCypher/@TheTNetwork for serving as our very first believers. If you’re working on cryptography, privacy-preserving systems, or ambitious infrastructure more broadly, I’d love to connect. - Ravital, on behalf of Team Sunscreen
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Private internet voting has always had a hard constraint: How do you verify the tally without exposing the votes? In our latest post, we unpack why truly private voting remains elusive, and how ZKPs, threshold cryptography, and FHE get us closer. blog.sunscreen.tech/why-trul…

Why truly private voting remains elusive

Private internet voting has long felt like the white whale of cryptography. Though digital voting systems exist for elections in some countries today, they generally rely on a third party to maintain...

blog.sunscreen.tech
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Private information retrieval is the Trojan Horse of homomorphic encryption. It's already deployed to hundreds of millions of users by Apple and Meta. We broke down how it works and built a private DNS demo to show it in action: blog.sunscreen.tech/private-…

Private Lookups: The Trojan Horse of Homomorphic Encryption

We often get asked if homomorphic encryption is used at scale today (i.e. deployed to hundreds of millions of users). The answer is yes, primarily thanks to private information retrieval! If you have...

blog.sunscreen.tech
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AxLabs
@ax_labsMar 11
This is BIG news for FHE (Fully Homomorphic Encryption) adoption. spectrum.ieee.org/fhe-intel Tech being built by players like @SunscreenTech and @zama could one day be deployed at scale on specialized hardware like Heracles. Now imagine if companies like @nvidia eventually enter the space with chips designed for encrypted computing. 🤯 We’re still so early.

Intel’s Heracles Chip Speeds Up Encrypted Computing

Intel's Heracles chip speeds up encrypted data processing by up to 5000 times.

spectrum.ieee.org
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most people don't care about privacy, unless it enables a new technology or use case.
Naval
@naval3 Nov 2025
Say something true, in an interesting way.
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Web3 Privacy Ecosystem. Key Projects and Infrastructure As blockchain adoption grows, #privacy solutions are becoming essential for #finance, identity, and data #security. This overview maps the projects shaping the next generation of #crypto infrastructure.
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FHE
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Solving For: Encrypted Cross-DeFi Credit Intelligence

Article · @SunscreenTech
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The Achilles’ heel of software is its need to decrypt data for processing. FHE eliminates that window of exposure, enabling what some call “full-privacy computing." We are loving reading this from @barisozmen_twi Read: bozmen.io/fhe
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FHE vs TEEs Read more: medium.com/@trekeptor/tee-vs…
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We're excited to announce our partnership with @latticaai to bring production-ready TFHE to developers. Our Parasol compiler helps builders turn ordinary code into high‑performance FHE programs. With Lattica's managed infrastructure, you can deploy encrypted computation without spinning up your own servers. What this means: compile locally with Sunscreen, deploy to Lattica, and run programs on encrypted data in production. No plaintext exposure, no infrastructure headaches. This opens the door for applications requiring exact computation on sensitive data - from smart contracts to secure voting to genomic analysis. Get started with 3 free compute hours: lattica.ai/tfhe Read more on our blog: blog.sunscreen.tech/deployin…
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bitfalt
@bitfaltFeb 3
Replying to @fede_intern @zama
@SunscreenTech really amazing team and extremely open-source oriented
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Replying to @fede_intern @zama
@fhenix @SunscreenTech
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Privacy builders don't need to learn complex cryptography or rewrite their applications to integrate privacy anymore. SPF is the end to end, modular platform for building private software.
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Private compute isn't just one thing, it's a spectrum of a trust model. TEEs trust hardware, FHE trusts math. Regardless of whether you're building an AI or blockchain app, you should ask: what (or who) are you trusting and whether that trust assumption works for your app.
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