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@VRIL-LABS

๐—ฉ๐—ฅ๐—œ๐—Ÿ ๐—Ÿ๐—”๐—•๐—ฆ

๐—ฅ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐—ฎ๐—ป๐—ฑ ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—บ๐—ฒ๐—ป๐˜ ๐—–๐—ผ๐—ป๐˜€๐—ผ๐—ฟ๐˜๐—ถ๐˜‚๐—บ
VRIL LABS โ€” implosion energy mark

VRIL LABS โ€” implosion energy mark

VRILย LABS


ancient knowledge ย ยทย  future technology
post-quantum cryptography ย ยทย  neural intelligence ย ยทย  entropy compression ย ยทย  deep-tech ย ยทย  ancient wisdom is computational power

At VRIL LABS, our goal is to bridge the gap between alternative physics and modern software. To learn more about what inspires us, go to vril.li/inspiration.


vril.li Research Contact


VRIL LABS โ€” vortex icon Sovereign Components

A showcase of purpose-built and precision-engineered systems.

Component Domain Key Specs
VRIL-KEM Post-Quantum Cryptography 384-bit quantum security ยท MLWE n=4096 ยท 7-layer CVKDF ยท IND-CCA2 (EasyCrypt)
VRIL-AI Neural Intelligence betterFANN architecture ยท WASM runtime ยท UiLLM interface (active dev) ยท typed tensor flows
VRIL-ZIP Entropy Compression 7-layer Fibonacci cascade ยท ฯ†-weighted ยท lossless ยท CVKDF-integrated
VRIL-PROXY / MESH / CERT / HSM Ecosystem Sovereign infrastructure stack โ€” active development

VRIL LABS โ€” vortex icon Cryptographic Core

VRIL-KEM is built on Module-Learning-with-Errors with parameters chosen to defeat both classical and quantum adversaries.

Ring dimension  n = 4096    NTT-friendly prime  q = 12289
Module rank     k = 7       CBD noise parameter ฮท = 3
CVKDF layers    7           Fibonacci weights   [1,1,2,3,5,8,13]

Every design decision traces to a named structural flaw in prior implementations:

  • CVKDF One-Wayness โ€” Classical linear key-compression replaced by 7-layer Fibonacci-weighted geometric cascade. EasyCrypt-proven 2โปยนยฒโธ bound.
  • HI-Gaussian vs CBD โ€” Hierarchical-Interleaved Gaussian with golden-ratio scaling over standard centered binomial distribution.
  • AVX2 NTT Butterflies โ€” 16-way SIMD delivers 6โ€“7ร— throughput. FPGA achieves 40ยตs on VU13P โ€” 400ร— over software baseline.
  • Constant-Time Masking โ€” Full DPA/timing resistance. 1st & 3rd order Boolean/arithmetic masking. TVLA-verified.

VRIL LABS โ€” vortex icon Performance Benchmarks

Variant Security pk Size Latency (AVX2) Use Case
VRIL-2048-5 256-bit ~15 KB < 2ms Embedded / IoT
VRIL-4096-7 384-bit ~46 KB 2.4ms Production (default)
VRIL-8192-11 512-bit ~180 KB < 8ms Ultra-High Security

VRIL LABS โ€” vortex icon Research Log

Period Phase Milestone
2025 Q4 Foundation VRIL-KEM Core Specification โ€” MLWE parameters, CVKDF introduced
2026 Q1 Cryptanalysis EasyCrypt IND-CCA2 ยท Coq correctness ยท Jasmin constant-time
2026 Q1 Performance AVX2 16-way SIMD ยท FPGA RTL complete ยท ASIC targets documented
2026 Q1 Security DPA/timing resistance ยท Boolean & arithmetic masking ยท maskVerif
2026 Q1 Integration TLS 1.3 ยท OpenSSL provider ยท Hybrid X25519+VRIL-KEM ยท < 5ms overhead
2026 Q2 Upcoming VRIL-AI v1 ยท VRIL-ZIP v3 ยท IETF draft for VRIL-KEM TLS extension

VRIL LABS โ€” vortex icon Philosophy

01  Proof-First Design      Security is not claimed โ€” it is machine-checked.
02  Hardware to the Metal   AVX2 โ†’ FPGA โ†’ ASIC. Software descends to silicon.
03  Cohesive Ecosystem      CVKDF in KEM is the same engine powering VRIL-ZIP.
04  Side-Channel Resistant  Constant-time arithmetic from the first line of code.
05  Open Derivation         Every improvement traces to a specific, named flaw.
06  Production from Day One No mocks. No TODOs. No placeholders. It ships.

vril.li ย ยทย  Research ย ยทย  News ย ยทย  Contact ย ยทย  $VCUR ย ยทย  Donate

ยฉ 2026 VRIL LABS โ€” Encrypting the future

VRIL LABS โ€” animated divider

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  1. betterFANN betterFANN Public

    Vortex physics-inspired & ground-up redesign of FANN (credit to Steffen Nissen). Its original implementation is described in Nissen's 2003 report Implementation of a Fast Artificial Neural Network โ€ฆ

    Makefile 1 1

  2. vril-zip vril-zip Public

    ๐Ÿ—„๏ธ A next-generation authenticated compression system by VRIL LABS, inspired by Viktor Schauberger. VRIL-ZIP v2 achieves the best aggregate compression ratio (2.90x) across 12 diverse file types (1โ€ฆ

    TypeScript

  3. vril-kem vril-kem Public

    ๐Ÿ” VRIL-KEM is a post-quantum Key Encapsulation Mechanism (KEM) built on Module Learning With Errors (M-LWE). It provides a drop-in replacement for classical key exchange in any TLS, SSH, or applicaโ€ฆ

  4. helios helios Public template

    โ˜€๏ธ Workers-style JavaScript runtime stack around a native host architecture for fast request dispatch, shared bytecode, HTTP/3 transport, WebTransport routing, and Wizer-based WASM snapshots achievโ€ฆ

    JavaScript

  5. skill-jam skill-jam Public

    Welcome to the skill-jam โ˜„๏ธ๐Ÿ€ A large collection of agent skills, all "jammed" together in one repository.

    TypeScript 2

  6. repulsine-visualizer repulsine-visualizer Public

    ๐Ÿ›ธ A 3D aerodynamics visualizer of Viktor Schauberger's Repulsine vortex implosion disc featuring accurate physics telemetry, designed by VRIL LABS.

    HTML 1

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