Token-cost visibility and optimizer for multi-agent AI orchestration

Token-cost visibility and optimizer for multi-agent AI orchestration targets a $9.6B = 300,000 AI development teams × $32,000 ACV total addressable market with medium saturation and a year-over-year growth rate of 40% YoY estimated (industry reports for AI developer tooling and MLOps growth).

Key trends driving demand: Multi-agent patterns — developers are composing modular agents and tool-based workflows, which increases cross-call complexity and creates new operational failure modes.; Rising model costs — high-frequency calls and large-context models make token spend a first-order operational expense, motivating tools that optimize or trade accuracy for cost.; Platformization of AI — internal platform and FinOps teams are demanding observability and cost controls akin to cloud FinOps, which creates a buyer audience.; Provider fragmentation — teams use multiple model providers and self-hosted models, creating an arbitrage opportunity for neutral tooling that aggregates telemetry and enforces policies..