LLM Cost Optimization
The most expensive query is the one you didn't need. Our Semantic Caching layer identifies repetitive intent and serves instant answers, stopping you from paying for the same token twice.
Optimization Pipeline
Every query is normalized and checked against cache.
Raw QueryInput
Cluster
NormalizationK² Core
60% Hit Rate
Semantic CacheInstant Hit
Miss
LLM InferenceFallback
Query Normalization
We rewrite incoming queries to their canonical form. "How much?" and "Pricing?" map to the same intent, maximizing cache coverage.
Zero Latency Hits
Cache hits bypass the inference queue entirely, returning results in milliseconds instead of seconds.
Sustainable Scale
Your bill doesn't grow linearly with users. Our efficiency layer absorbs the repetitive 40-60% of traffic.