Fragmented AI actions — append-only event log for observability & audit

Fragmented AI actions — append-only event log for observability & audit targets a $12.0B = 200,000 organizations x $60K ACV (enterprise+midmarket observability & compliance spend that could shift to action-logging) total addressable market with medium saturation and a year-over-year growth rate of 40-70% growth in enterprise AI tooling and model observability adoption as LLM production use expands.

Key trends driving demand: Model-driven production -- more runtime model calls and tool orchestration create new telemetry types that traditional APM and logs don’t capture.; Regulatory scrutiny -- auditors require deterministic trails for decisions where models or automation acted, increasing demand for tamper-evident logs.; Cost visibility needs -- rising LLM API spend forces teams to instrument and attribute calls to products, flows, and users for optimization.; Open standards & instrumentation -- OpenTelemetry evolution and schema conventions make cross-vendor action logs feasible and integratable..