Market Opportunity

Per-user AI API spend attribution — map requests to users/features for billing targets a $6.0B = 500k software teams x $12K ACV total addressable market with medium saturation and a year-over-year growth rate of 80% — driven by LLM adoption and observability spending.

Key trends driving demand: LLM adoption surge -- more products embed LLMs with pay-per-use pricing, increasing bill variability.; FinOps for AI -- finance and engineering teams demanding tools to allocate and optimize AI spend.; Observability maturation -- OpenTelemetry and lightweight SDKs make request-level capture inexpensive.; Usage-based pricing normalization -- per-token / per-call billing forces tighter per-feature visibility..

Key competitors include PromptLayer, OpenAI usage dashboard (and other LLM vendors' dashboards), Datadog (APM & logging), Kubecost, Apptio / Cloudability (FinOps and cloud cost management).

Per-user AI API spend attribution — map requests to users/features for billing

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Market Validation

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