Market Opportunity
Per-session LLM token telemetry — capture token costs, route them to observability/billing targets a $4.0B = 200,000 LLM-using businesses x $20K ACV total addressable market with medium saturation and a year-over-year growth rate of 40-60% — driven by enterprise LLM adoption and observability spend shifting to support LLM ops.
Key trends driving demand: LLM commercialization -- More apps integrate LLMs, increasing token spend that needs attribution and optimization.; Observability convergence -- Teams are consolidating traces, logs, and custom metrics for ML/LLM workloads into single platforms.; Real-time billing pressure -- Pay-per-token pricing and unpredictable prompt chains drive demand for per-session cost visibility.; SDK-first adoption -- Developers prefer SDKs/proxies that require minimal model changes and provide immediate telemetry..
Key competitors include LangSmith (LangChain Labs), Fiddler AI, Datadog, OpenAI (built-in usage logs), WhyLabs.