Hidden LLM Spend — detect token waste & enforce cheaper flows

Hidden LLM Spend — detect token waste & enforce cheaper flows targets a $50.0B = estimated annual global LLM API spend (all orgs spending on LLM endpoints) total addressable market with medium saturation and a year-over-year growth rate of 80%+ (rapid LLM adoption and rising API spend).

Key trends driving demand: Model proliferation -- Multiple models & versions increase complexity and mismatches between cost and performance, creating demand for routing/selection tooling.; Pay-as-you-go pricing -- Token-based pricing makes waste directly visible on bills but hard to attribute to codepaths, boosting observability needs.; ML observability maturation -- Teams already instrument model metrics; extending to token-level cost metrics is a natural next step.; Prompt engineering commoditization -- Shared templates and best practices enable automated remediation and a marketplace for cost-efficient prompts..