Search is tricky, but it can be taught.
Gia is benchmark-driven search infrastructure for accurate, explainable, deterministic AI search.
Problem with casual natural language searches is that they're either too superficial and non-trustworthy [any embedding-based search], or too slow, expensive and non-repeatable [any agentic search].
Gia is building a middleground between two worlds where high-quality, deep but index-first output is required, by:
- focusing on continuous schema quality self-improvement
- considering relationship queries as multi-entity graph search problems
- implementing benchmarks as first-class artifacts that help search profiles learn from real-world queries
Our goal is to build a search that you can teach, test, understand, and trust. Contact if this is what you're looking for or see a demo.