10x Faster. 10x Smarter. Welcome to the Past, Present and Future of Computing.
Snabb reimagines how software and hardware interact—breaking through the limits of monolithic code and unlocking an entirely new class of processing efficiency.
What’s Broken in Today’s Software…
Bloated Code.
Slower Chips.
Wasted Power.
Today’s software is built on an antiquated model—monolithic architectures where every new feature adds more complexity, more code, and more bugs. As functionality increases, code grows exponentially, resulting in:
Slower performance
Higher memory usage
Greater energy consumption
Longer development cycles
Poor maintainability and scalability
This traditional architecture simply cannot keep up with the demands of AI, parallel processing, and modern chip performance.
The Snabb Paradigm — Smarter Software
Modular. Reusable. Logarithmic.
Snabb introduces a radically different model—modular, polylithic software architecture—where code is written once, tested independently, and reused efficiently.
Here’s how it works:
Autonomous modules replace tangled software (spaghetti code)
Each function can be tested individually (on-the-fly)
No duplication—new features reuse existing code
As functionality grows linearly, code increases exponentially
Math That Matters:
In traditional code: Code ∝ e^Functionality
With Snabb: Code ∝ log(Functionality)
As software grows, Snabb actually writes less and less new code.
Snabb allows complex numerical computations to be expressed in minimal code, achieving full functionality with elegant, compact instructions that traditional languages struggle to match. This modular structure also enhances maintainability: understanding or updating a single module does not require comprehending the entire system. As a result, development and long-term maintenance are far more efficient—even years after deployment. The Snabb programming method also reflects a return to individual engineering creativity—modules are designed and tested independently by individuals, reducing development time, minimizing errors, and cutting manpower needs in half compared to monolithic approaches.
Code vs Information Growth
Exponential Efficiency
In legacy systems:
Code grows exponentially
Information (functionality) output grows linearly
The inversion turns development economics on its head. As systems grow, Snabb becomes faster, cleaner, and more powerful.
Proof In Action - Mandelbrot Benchmark
8' x 12' Image. Core i7 CPU. Real-Time Performance.
Snabb was used to render a massive Mandelbrot set image—something that typically takes hours with traditional tools like MATLAB, even on high-end GPUs.
📊 Snabb Result:
●10x faster than MATLAB
●Runs on a standard Intel Core i7 CPU
●No GPU acceleration required
This demonstration proves Snabb isn’t just theory—it’s already redefining performance on today’s chips.
Snabb's Mandelbrot engine leverages complex number math and scalable pixel
rendering—ideal for scientific computing, signal processing, and AI.
🎥 [ DEMO COMING SOON! ]
From Code to Chip - The Snabb Hardware Advantage
The Snabb Chip
The Snabb Chip embeds linguistic intelligence directly into silicon.
What makes it different:
Built with semantic CPU instructions
Eliminates the traditional compiling, linking, loading process
Efficient mapping from high-level logic to execution
Order-of-magnitude faster
Significantly lower power consumption
Snabb’s direct RAM execution framework reduces reliance on high-bandwidth memory and consolidates compiling, linking, loading and execution into a single, efficient process.
It scales across CPUs and GPUs.
Snabb’s efficiency even extends to UI and visualization.
We’ve also patented a virtual processor layer that allows Snabb programs to run on virtually any microcontroller.
This enables full development flexibility even when the physical memory on embedded chips is limited.
With only $5 million and a three-person elite team, a working Snabb Chip prototype can be built to demonstrate full stack integration.
Built for AI and Parallel Systems
Snabb's asynchronous, modular architecture is a perfect match for:
AI training & inference
Visual & language models
Embedded & power-constrained systems
From zoomable high-resolution fractal datasets to simulating millions of virtual processes, Snabb handles compute-intensive tasks with precision and power. Unlike traditional chips that stall under complexity, Snabb thrives. The more complex the task, the greater Snabb's efficiency advantage.
Legacy Compatibility & AI-Powered Migration
No Rip-and-Replace Required
We understand the dominance of CUDA, Python, and other legacy stacks.
Snabb offers:
● Developer onboarding in days, not months
● A cleaner slate for forward-thinking software
Snabb plans to offer:
● AI-assisted translation of legacy code into Snabb’s architecture
Young engineers are already adopting it. The shift is happening—fast.
Validated in High-Impact Applications
Snabb has been deployed across mission-critical environments for over four decades:
NASA – Shuttle maintenance data analytics
Procter & Gamble – Supervisory Control in Discreet Manufacturing
DARPA – Advanced R&D in data science
E.I. Dupont, SAIC, DOD, Alpha Press – Supervisory control and embedded systems
These implementations prove Snabb’s performance, resilience, and adaptability.
Why this changes everything
Simple. Faster. Cleaner.
Less code, more performance
Scalable by design
Pretested modules minimize debugging
Energy efficient and silicon-ready
Transparent execution paths between logic and hardware
Traditional Systems
Exponential code growth
Tightly coupled functions
High energy & memory use
Compiler reliance
Difficult to debug & scale
Snabb Solutions
Logarithmic code growth
Modular, autonomous components
Energy-efficient, fast execution
Semantic CPU instructions
Pretested, scalable modules
Snabb represents a full inversion of software-hardware evolution. Traditional high-level languages are constrained by the arbitrary structure of CPU opcodes. Snabb, by contrast, creates an intelligent instruction set as a direct result of its language—unifying software and hardware around clarity, efficiency, and purpose.