See the operating map
Keep solutions, templates, grids, marketplace capability, providers, and billing connected to the subscription they belong to.
The operating layer where AI systems become durable enough to run real business work.
EngineGrids turns raw agentic capability into governed business assets. We replace brittle integration glue with a Native PostgreSQL interface that lets developers, users, and agents manage the entire environment through the world's most trusted data standard.
Other platforms connect tools. EngineGrids governs state, side effects, and the grid environment itself.
Typical agent stackConnect the provider, write custom glue, then manage runtime, approvals, scaling, and audits somewhere else once the work becomes important.
EngineGrids platformInstall capability, act through durable rows, and keep runtime, approvals, scaling, backups, and audits on one operating path.
Day 2 operators
Run every AI system from one subscription workspace.
Once a workflow is live, operators need a calm place to see what is running, what it costs, what is linked, and what needs attention. EngineGrids brings solutions, runtime grids, marketplace entitlements, billing, capacity, provider connections, and operating priorities into one workspace built for day-two responsibility.
Watch health and spend
Track capacity, active solutions, billing state, usage forecast, and operational priorities without switching tools.
Act with confidence
Use the subscription assistant and clear next actions to create, provision, review, and expand only when the workspace is ready.
EngineGrids keeps install order, service bindings, and runtime state on one Native PostgreSQL control plane. This is how real environments grow into durable company property instead of collapsing into brittle integration glue.
Governed state
Replace fragile integrations with clear data operations.
EngineGrids replaces scattered provider SDKs with app surfaces your team can inspect. When a grid needs Stripe or Salesforce, it acts through tables where intent and outcome stay visible.
Key Takeaways
- Capability installs in dependency order through one desired-state row
- Sidecar handles provider work, keeping grid logic clean and readable
Durable runtime
One control plane for everything from install to scale and recovery.
Grid management is not a separate infrastructure task. Scaling, backup, and service control all follow the same operating model, whether initiated by a developer, user, or agent.
Key Takeaways
- Manage grid capacity and recoverability through the same platform interface
- Ensure production behaviour stays understandable as system complexity grows
Marketplace scale
Hire and govern specialized AI capability through the same interface.
External agents and swarms from the marketplace attach as platform subscriptions. You grant entitlements and supervise work through the same rows used for internal services.
Key Takeaways
- Extend your grid with proven marketplace capability without manual wiring
- Set clear limits on what hired agents can see and do
Inspectable state, not hidden custom code
Capability, provider actions, and environment state live on one operating path instead of being scattered across custom middleware.
Governed self-management
Developers and agents use the same auditable interface to scale, protect, and extend the grid as the business needs grow.
Long-horizon auditability
Important actions are recorded in platform state so AI operations stay explainable after the pilot ends.
Boundaries before side effects
Policies and service controls stop unsafe actions before they reach customers, records, or internal business systems.
EngineGrids turns these systems into governed data operations. We install the app surfaces and bindings a grid needs, then let agents and operators work through auditable tables instead of brittle provider code.
StripeSalesforceTwilioSendGridSlackZendeskShopifyGitHubJiraConfluenceNotionPagerDuty
EngineGrids catches non-deterministic agent intent and commits it to deterministic PostgreSQL transactions. This is how real-world AI becomes auditable, reversible, and production-credible.
The agent (non-deterministic)
Select a scenario and run it to see the agent's raw intent.
The operating layer (deterministic)
EngineGrids catches non-deterministic thought and commits it to state.
The same governed SQL interface can install capability, move money, subscribe to marketplace agents and swarms, resize the environment, and protect it with recoverable backup state, whether the change is initiated by a developer, a business user, or the agents doing the work themselves.
Desired state
A grid becomes service-capable through one durable row.
Installing governed capability starts from platform state, not a connector project. The grid asks for the service it needs, and EngineGrids resolves the subscription, app surface, and bindings in dependency order.
Why it matters
Capability install is already part of the operating platform. Developers, users, and agents can all use the same inspectable interface without rebuilding the integration layer every time the grid grows.
- The install path starts from business need, not provider setup ceremony
- Service status and install history stay visible in platform state after launch
1. Request the service
Subscribe the grid to Stripe through desired state.
A single row in `grid.services` asks the platform to install governed Stripe capability for the grid.
insert into grid.services (name)
values ('stripe');2. Inspect the resolved service
Read back the installed capability from platform status.
The resolved plan, subscription, billing state, and operational status remain inspectable without leaving the platform.
select
service_name,
status,
resolved_plan_version,
subscription_id,
billing_state
from infrastructure.service_status_view
where service_name = 'stripe';The difference is whether your team can keep expanding AI responsibility after launch without retreating into manual supervision and hidden glue.
The Pilot Trap starts with integration sprawl.
Most platforms treat agents as isolated experiments. They connect to APIs and chain tools, but the execution, approvals, and audits splinter once the work becomes real.
EngineGrids is built for durable business property.
We turn integrations into visible data operations. Important side effects are recorded, state changes can be reviewed, and agents stay inside platform boundaries.
That is why responsibility can grow without creating chaos.
Because your AI systems run on one operating layer, you can move from a single agent to a broader business workflow without losing visibility.
When installation, runtime, and side effects stay on one operating path, your team can let AI systems take on real work without retreating into custom glue or manual fallback.