What it sells
The safety layer between AI agents and your database
Business model breakdown
Buyer: who owns the budget?
UnverifiedEngineering lead or CTO/data owner at companies letting AI assistants query production Postgres.
Trigger: what makes them buy now?
Fear that an AI agent runs an unfiltered UPDATE/DELETE, drops tables or leaks sensitive fields on a production database.
Workflow: what inputs become what output?
Gateway sits between the MCP client (Claude, ChatGPT, Cursor) and Postgres: denies tables by default, masks sensitive columns, blocks mass changes, holds writes for human approval, logs every statement.
Economics: what it saves and how it charges
Open-source (MIT) gateway runs in customer network; paid Midplane Cloud console for policy, approvals and query log. Value is avoiding data-loss incidents.
Distribution: how it reaches customers
Self-serve developer adoption: open-source install via npx, docs and GitHub, plus Get access waitlist for cloud.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2022 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.