Using AI to Solve AI's Problem
Better compression, not bigger data centres. And post-quantum cryptography that's ready before the quantum threat arrives.
The AI industry is betting trillions on infrastructure. We think there's a smarter path — using AI as a research tool to explore next-generation lossless compression.
The Infrastructure Bubble
Everyone's building bigger. We're thinking smaller.
OpenAI's committed infrastructure spend over ten years. Their annual revenue? About $13 billion.
Wafers per month required for OpenAI's Stargate project by 2029, triggering a global memory chip crisis.
— Reuters, December 2025
The AI industry's solution to every problem is scale: more GPUs, more power, more cooling, more data centres. It's economically fragile and environmentally unsustainable.
We're asking different questions: What if the data itself could be smaller? And what happens when quantum computers break the encryption protecting all of it?
Our Research
Research That Earns the Name
We use large language models as research tools — not products to scale infinitely. Our work spans two frontiers: next-generation lossless compression, and post-quantum cryptography for a world where today's encryption has an expiry date.
Compression Research
Testing compression theories. Validating formulas at scale. Exploring whether data can be encoded as continuous waveforms rather than discrete bits.
AI as Tool
Testing thousands of compression formula variations automatically
Waveform Encoding
Exploring data as continuous signals rather than discrete bits
Lossless Target
Compression that preserves every bit of the original data
The goal isn't to consume more compute. It's to eventually need less.
Post-Quantum Cryptography
Quantum computers will eventually break RSA, ECDSA, and the elliptic curve cryptography that secures almost every digital system today. We're not waiting for that to happen.
We've built a ground-up implementation of NIST's post-quantum standards in Zig — engineered for the same performance-first philosophy that drives everything we build.
ML-KEM-768 (FIPS 203)
Post-quantum key encapsulation at 192-bit security
ML-DSA-65 (FIPS 204)
Post-quantum digital signatures at 192-bit security
Hybrid ML-KEM + X25519
Defense-in-depth combining post-quantum and classical cryptography
Cross-platform
Native libraries for macOS, Linux, Windows, iOS, and Android
Rust FFI
Safe Rust bindings with automatic key zeroisation and constant-time operations
This isn't a wrapper around someone else's library. It's a from-scratch Zig implementation with a C API, Rust FFI bindings, and cross-platform builds — already integrated into Quantum Vault, our self-custodial cryptocurrency wallet.
When quantum computers arrive, the systems we've built will already be protected.
How We Get There
Products fund research
While we work on the hard problems, we're building software that embodies our values: efficient, private, local-first. No cloud dependency. No wasted resources. No subscription traps.
Every product we ship funds continued research into next-generation data encoding.
Local-First Architecture
Your data stays on your machine. No cloud servers burning energy to store what could live locally.
No Subscription Lock-in
Buy once, own forever. MIT-licensed binaries. We don't hold your workflow hostage.
Built With
Rust · Zig · Tauri · Svelte
Native performance. Cross-platform. No Electron bloat. Our desktop and mobile applications are built with the same efficiency principles we're researching — and secured with post-quantum cryptography we built from the ground up.
The future of computing isn't bigger data centres.
It's smarter data — and encryption that's ready for what comes next.