EVA sGrid
Semantic infrastructure for trustworthy AI
THE PROBLEM
Embeddings are the foundation of modern AI retrieval.
But they’re treated as disposable black boxes.
When your RAG system answers a question, can you explain why?
When the embedding model updates, do your results stay stable?
When the auditor asks what happened in March, can you trace it?
In regulated industries—legal, financial, healthcare—these
aren’t edge cases. They’re requirements.
THE SOLUTION
EVA sGrid is an infrastructure layer that sits above any
vector database or embedding provider.
It provides:
- Compression — 48× reduction without semantic collapse
- Addressing — Human-readable semantic coordinates
- Governance — Versioning, drift detection, lifecycle control
- Traceability — Cryptographic audit trail for every query
No vendor lock-in. Provider agnostic.
Built for enterprise-grade accountability.
VALIDATION
87% Recall@10 at 48× compression (naive chunking)
82% Recall@10 at 48× compression (semantic chunking)
Fully reproducible benchmarks
Multi-provider tested (OpenAI, Gemini, Cohere)
STATUS
Patent pending — USPTO Provisional #63/911,952 (November 2025)
Technical validation complete
Seeking strategic acquisition or licensing partnership
CONTACT
For technical discussions or partnership inquiries:
carlos.lopez@codix.es
Carlos López Andrés
Founder, Codix Labs