Run the governed AI schema on your own Native PostgreSQL instance.
The EngineGrids DDL gives teams a portable foundation for AI state, actions, and audits instead of locking critical operating records inside a proprietary black box.
Own the standard. Provision the scale.
EngineGrids is built on Native PostgreSQL, the portable data foundation teams already understand. Use open schemas for AI state, actions, and records, then provision managed scale when the business is ready.
Open-standard story
Own the standard. Provision the scale.
EngineGrids is built on Native PostgreSQL so AI operating state can remain durable, auditable, and transferable. The open standard story matters because customers should own the state behind their AI systems, even when they choose managed grids for scale.
Move from local standard to managed grid infrastructure when the business is ready.
Teams can start from the standard, then use EngineGrids managed grids when they need global capacity, governance, recoverability, and marketplace distribution.
Your AI operating state belongs to you.
Native PostgreSQL is the world's most portable and trusted data standard. EngineGrids uses that foundation so AI systems can become durable company property.
DDL highlights
Governed capability starts with the schema.
The standard is tangible because the mandatory schemas and operating surfaces make EngineGrids deterministic.
The mandatory tables for identity, authority, and deterministic state management.
The runtime schema provides the base operating model for governed AI systems.
SQL
CREATE SCHEMA grid
AUTHORIZATION enginegrids;
CREATE TABLE grid.base_actions (
id uuid PRIMARY KEY,
subject_id uuid NOT NULL,
requested_by uuid NOT NULL,
requested_at timestamptz NOT NULL DEFAULT now(),
status text NOT NULL
);The DDL for provider surfaces that agents use to act.
App schemas such as Stripe, Salesforce, and Twilio expose governed records instead of direct provider calls.
SQL
CREATE TABLE stripe.invoices (
invoice_id uuid NOT NULL,
customer_id uuid NOT NULL,
payment_method_id uuid,
currency_code text NOT NULL,
amount_due numeric(12, 6) NOT NULL
) INHERITS (grid.base_actions);The operating record required for enterprise and regulatory review.
Every important action should leave a durable, queryable record that survives the provider, model, and runtime moment.
SQL
CREATE TABLE platform.audits (
id uuid PRIMARY KEY,
object_schema text NOT NULL,
object_name text NOT NULL,
action_name text NOT NULL,
request jsonb NOT NULL,
response jsonb,
create_ts timestamptz NOT NULL DEFAULT now()
) WITH (
autovacuum_enabled = true
);SQL-native state
Keep AI operating state in PostgreSQL so important work is durable, queryable, and not trapped inside application glue.
Portable runtime objects
Represent grids, services, solutions, approvals, and records as objects that can survive beyond one model or vendor choice.
Reviewable action history
Capture what was requested, what ran, what changed, and what a person approved so teams can review important activity later.
Open by design
An audit schema designed for enterprise and regulatory review.
The standard gives AI work an operating home.
EngineGrids keeps intent, execution, actions, and history in SQL-native structures companies can inspect, carry forward, and govern.
Intent belongs in the record.
Capture the work the business requested before any agent, service, or workflow begins acting on it.
Actions should be inspectable.
Store the important steps, boundaries, approvals, and outcomes where operators can query them directly.
Ownership should survive vendors.
Build on a data model that lets the company keep its AI operating history as durable company property.
Start with one governed AI system, then keep the record as it grows.
Sign up to launch inside the managed platform, with the same operating objects your team can inspect and carry forward.