EVO Classification White Paper Now Available
We're excited to announce the release of the EVO Classification White Paper — a comprehensive technical deep dive into EVO's neuro-symbolic classification engine for enterprise data.
What's Inside
This white paper presents EVO, a classification engine built on Radial Starfish (RSF) spiking neural dynamics that achieves state-of-the-art results — without GPU, LLM, pre-trained embeddings, or external dependencies.
Neuro-Symbolic Architecture
Learn how EVO uses a four-tier neuro-symbolic cascade — structural pattern recognition, vocabulary matching, header affinity, and intelligent blending — to classify enterprise data with unprecedented accuracy and efficiency.
Benchmark Results
Discover the rigorous benchmarks that validate EVO's performance:
- 87.3% on the Goby enterprise benchmark — 1,187 data sources classified with only 104 human decisions
- 99% on CopyBench COBOL classification — 298 out of 301 fields correct in 8 milliseconds
- 90.2% on MNIST image classification — without GPU or backpropagation
Privacy at Zero Cost
Explore how structural mode matches full accuracy mode exactly — classifying data from character patterns alone, without ever reading actual values. Zero privacy cost for regulated industries.
The Neuro-Symbolic Advantage
EVO is the only classification system that gets smarter with every use. Static systems cannot improve. EVO's accuracy is a trajectory, not a number.
Download Now
Ready to explore the future of enterprise classification? Download the EVO Classification White Paper and discover how neuro-symbolic intelligence is transforming enterprise data integration. See also the EVO Platform and EVO Architecture.
Whether you're a developer, data engineer, or enterprise architect, this white paper will give you deep insight into the technology behind EVO's neuro-symbolic classification engine.
— The AsterMind Team