Reduce AI costs & latency by routing API calls across models/providers

Reduce AI costs & latency by routing API calls across models/providers targets a $50.0B = Global AI inference & model API spend estimated at 50K enterprises x $1.0M annual inference/API spend total addressable market with medium saturation and a year-over-year growth rate of 35%+ (AI inference & API usage growth).

Key trends driving demand: Model proliferation -- more hosted and open models create gaps in cost/performance that routing can exploit; Enterprise AI production -- rising SLA and observability demands make automated policy enforcement necessary; Edge & multi-cloud inference -- distributed inference options increase routing decision points and arbitrage opportunities; Per-request billing transparency -- standardized token/compute billing enables programmatic cost optimization.