Unexplainable AI costs — real-time, explainable spend attribution and optimization

Unexplainable AI costs — real-time, explainable spend attribution and optimization targets a $12.0B = 200,000 software & cloud-using organizations x $60K ACV (enterprise observability & cost intelligence adjacencies) total addressable market with medium saturation and a year-over-year growth rate of 35-50% -- driven by LLM adoption and usage-based API billing.

Key trends driving demand: Usage-based pricing -- LLM vendors charge per token/call, increasing billing variability and demand for attribution; Growing LLM adoption in production -- more teams need continuous monitoring and cost governance for AI features; Model observability convergence -- traditional ML monitoring is expanding to include prompt/LLM-specific signals; Shift to outcome-based metrics -- companies optimizing for cost-per-outcome instead of raw compute spend.