Duplicate LLM responses cost you twice — dedupe & cache responses to cut API spend

Duplicate LLM responses cost you twice — dedupe & cache responses to cut API spend targets a $12.0B = 400k businesses x $30K ACV (market of companies running production LLM workloads and willing to pay for cost-control & observability) total addressable market with medium saturation and a year-over-year growth rate of 70% — driven by rapid LLM adoption, new generative AI use cases, and rising per-token spend.

Key trends driving demand: LLM commoditization -- more teams integrate multiple LLMs and face multiply-billed identical requests, increasing demand for cross-provider dedupe.; Edge & hybrid deployments -- latency and privacy requirements encourage local proxies that can intercept and dedupe calls.; Cheap embeddings & vector stores -- low-cost semantic similarity enables fuzzy matching across paraphrases for deduplication.; Enterprise observability -- finance and platform teams require per-feature/actor cost attribution, not just API invoices..