Confidential program: privacy rail for institutions
- LatticA builds Next, the Solana‑native confidential computing layer that makes encrypted data computable and verifiable anywhere — from mobile to server — through our portable FHE16 stack (Fully Homomorphic Encryption).
- Institutions can lend, swap, or manage risk without revealing private inputs until they choose to, establishing the foundation for deterministic, verifiable privacy on‑chain.
Good‑bye front‑running. Hello institutions.
INFO: Migration of this repository to the new architecture is currently in progress at https://github.com/waLLLnut/lattica-server.
- Go to
./lattica-gatehouse/and follow its README exactly. - Then go to
./fhe_executor/and follow its README exactly. Done.
⚠️ AlertIn the FHE16 used here, for a simple implementation, discrete Gaussian sampling is currently implemented as rounded Gaussian sampling.
It currently runs only on Linux x86-64 machines with AVX2 available.
We will address these before the testnet launch and run simulations across various OSes so it can run on any device. Until then, do not use this project for commercial purposes; if you do, we accept no legal liability.
Currently raising seed round.
- 2025‑01 — Tech commercialization agreement with Hanyang University (Republic of Korea)
- 2025‑04 — Booth at Korea Science & Technology Expo
- 2025‑06 — Selected for University‑Led Startup Program (2025.06–12)
- 2025‑08 — Paper accepted at CRYPTO 2025:
“Actively Secure MPC in the Dishonest Majority Setting: Constant Complexity in Online Communication, Computation, and Input Size.”
- 3‑min Pitch — https://youtu.be/1Tq4GxvcX2c
- Deck — https://drive.google.com/file/d/1aV3UYl0_ScdfNpn0lZRFiQdtv2pnSr4t/view?usp=drive_link
- Technical Demo — https://youtu.be/x6ZNc1cUd8U?si=EhGwiKjWEk9QWU_y
- Book a Call (Calendly) — https://calendly.com/shlee-walllnut/30min
- Docs — https://walllnut.gitbook.io/walllnut-docs
- 𝕏 (Twitter) — https://x.com/waLLLnut_co_Inc, https://x.com/LatticAwaLLLnut
- Website — https://walllnut.com