Safe, auditable middleware to let AI agents query your data warehouse

Safe, auditable middleware to let AI agents query your data warehouse targets a $7.5B = 250K businesses with cloud data warehouses × $30K ACV total addressable market with medium saturation and a year-over-year growth rate of 14% YoY — Growth estimate based on combined cloud data warehouse and data-infrastructure market expansion (sources: Gartner, MarketsandMarkets estimates for data & analytics and DWH adoption).

Key trends driving demand: Agentization of workflows — companies are moving from single-query LLM prompts to multi-step agents that require live data access, which creates demand for safe data access layers.; Cloud DWH ubiquity and standardization — with Snowflake, BigQuery and Redshift dominance, standardized connectors and query patterns make middleware integration feasible and attractive.; Enterprise focus on AI governance — teams need audit logs, RBAC, and cost controls as AI touches more production workflows, increasing demand for control planes.; Shift from experiment to production — organizations that piloted LLMs in 2023–2024 now need operational products to move agents into production safely..