Identify runaway LLM costs and prevent wasted AI outputs in production

Identify runaway LLM costs and prevent wasted AI outputs in production targets a $6.0B = 1.5M businesses × $4K ACV total addressable market with medium saturation and a year-over-year growth rate of 30% YoY growth in enterprise AI tooling spend (Source: IDC 2024 and McKinsey 2024 AI adoption trend estimates).

Key trends driving demand: Trend — Multi-model and multi-provider deployments are increasing, creating fragmentation and the need for cross-provider cost visibility.; Trend — Model pricing volatility and per-token pricing tiers force product teams to actively optimize requests to control spend.; Trend — Enterprises are demanding observability and governance for AI similar to traditional infra, creating a procurement pathway for AI-cost tools.; Trend — Advances in embeddings and semantic similarity detection make automated output deduplication and 'slop' detection technically feasible at scale..