Latest · April 2026

Your AI Bill Is Not an Inference Problem.
It's a Memory Problem.

Enterprise budgets are breaking not because AI is expensive per query — but because every query is being treated as if it's the first time it's ever been asked. There's a third lever most teams haven't pulled.

Deep Dive · March 2026

Semantic Caching vs. Prompt Caching: What Enterprise AI Teams Need to Know

Both approaches reduce AI costs. They solve entirely different problems. Conflating them is leaving significant money on the table — here's how they work together.

Patrick Calderon 5 min read Read article
Case Study · February 2026

73% of AI Queries Were Repeats. Here's What Happened When We Stopped Paying for Them.

A structured benchmark on a real SEC lease corpus: 450+ documents, legal-grade accuracy requirements, and a memory routing layer that eliminated nearly three-quarters of all model calls.

MEMStorage 8 min read Read case study
Case Study · January 2026

Enterprise AI Support: 67% Cost Reduction Without Touching Response Quality

A SaaS support team was running the same AI queries dozens of times per day across agents. Routing them through a semantic memory layer cut their AI spend by two-thirds in 30 days.

MEMStorage 7 min read Read case study