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The EVO Neuro-Symbolic AI Platform combines neural learning with symbolic reasoning to deliver deterministic, auditable intelligence. Every benchmark below was executed on a single virtual machine — 8 CPU cores, 16 GB RAM, 50 GB disk, and no GPU. No LLM, No model fine-tuning, no cloud accelerators, no inference clusters, no AI tokens used.
Results captured on the EVO Platform with neuro-symbolic capability modules. Every score reflects end-to-end production conditions on a single CPU VM.
| Benchmark | Result | Time | Details |
|---|---|---|---|
| OWASP Code Vulnerability Audit (DVNA + NodeGoat) | 100% (37/37) | — | SQLi, XSS, command injection, broken auth, SSRF, structural absences; zero false positives on clean code |
| LOTL Attack Detection | 15/15 categories; 100% novel tool detection; 0% FP | — | Recall 90.0%, Precision 55.1% (single-command) |
| Cyber Threat Detection (28-metric suite) | 28/28 pass | — | 7 domains; DDoS, brute force, ransomware, phishing, data exfiltration, cloud compromise, SQL injection, privilege escalation |
| Anomaly Detection | 21/21 pass, zero false positives | — | 4 domains, 32 metrics; per-arm root cause identification, gradual drift detection, no alert fatigue |
| Goby Enterprise Data Normalization | 96.96% (minimal wrapping) | — | 1,187 enterprise wrappers, 75 types |
| Valentine Schema Matching | 0.7653 mean F1 (551 pairs) | 23.1s | Best scenario: View-Unionable 0.8927 F1; beats COMA, Cupid, EmbDI by 38–84% |
| CopyBench (COBOL Copybooks) | 99.0% (298/301 fields), Macro F1 94.9% | 25ms | 23 copybooks, 301 fields, 17 semantic types |
| PMRE (Provisional Mapping Reclamation) | B1 P/R/F1 = 1.0/1.0/1.0 | — | Deterministic (byte-identical), sub-linear scaling (exponent 0.511) |
| Normalization Compendium | 9/9 cases pass (0.823 power score) | 1,225 rows/sec | 1,179 rows; handles nulls, placeholders, schema drift, mixed chaos |
| HKDD Modulation Classification | 83.3% @ +20 dB SNR (reference) | 1,422s training | 12 modulations (PSK/FSK/QAM/PAM families) |
All running on a small footprint VM: 8 CPU cores, 16 GB RAM, 50 GB disk, no GPU.
External references for the benchmarks and frameworks used in our evaluations.