The core idea

The schema is the configuration.

At startup the engine reads your schema, walks each table's foreign keys to the tenant root, and compiles the exact scoping every query needs. Register a table and it's secured, audited, and queryable. Nobody writes a tenant filter. Nobody forgets one either. Step through it:

TenantCustomerInvoiceInvoiceLine
Step 1 of 4

Your schema, as it is

A normal relational model: Tenant, Customer, Invoice, InvoiceLine. The only requirement is ordinary foreign keys. Nothing proprietary is added to your tables.

The pillars

Eight areas. Go as deep as you want.

Security & multi-tenancy

Tenant isolation derived from foreign keys and enforced in one data path. No filter to forget.

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AI done right

MCP-native access, prompt-authored rules, and a security engine every AI agent inherits.

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Data & instant API

Register a table and it is secured, audited, and queryable. No ORM, no per-table code.

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Collaboration

Google-Docs-style co-editing over multi-table enterprise data, committed in one transaction.

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Integration & automation

Background automation that obeys the same tenant boundaries as interactive users.

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Reporting

Business users build reports; a read-only mirror keeps production safe by construction.

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Operations

The platform ships with its own ops console, real-time notifications, and full change history.

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Developer experience

One command scaffolds a secure full-stack app. AI assistants learn the conventions from day one.

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These eight are described as they work today, and every one of them is still being worked on: 162 new capabilities and 183 fixes among the 635 updates shipped since March 2026. The progress log groups by the same areas, so you can read exactly what landed in security, reporting or automation — including what was broken and what it took to fix it.

The demo that matters is the one on your schema.

A fixed-price assessment gets the platform running over your own data model, whether the system exists yet or not.

Book a platform assessment