Reproducible AI tool execution via WAL-backed deterministic runtime

Reproducible AI tool execution via WAL-backed deterministic runtime targets a $3.6B = 120,000 engineering orgs × $30K ACV for reproducibility & orchestration tooling total addressable market with medium saturation and a year-over-year growth rate of 25% YoY growth in AI infrastructure and orchestration tools driven by enterprise AI adoption (industry estimates, 2023-2025).

Key trends driving demand: Trend — Rapid adoption of LLMs in production increases demand for tooling that reduces operational risk and debugging time.; Trend — Rising regulatory and compliance scrutiny forces enterprises to capture auditable decision trails, increasing demand for replayable execution logs.; Trend — Growth of orchestration frameworks and managed workflow services opens integration points where a deterministic runtime can plug in.; Trend — Reduced cost of storage and serverless compute makes record-and-replay architectures economically feasible for more teams..