The mandatory control plane required to govern durable AI systems.
Grid OS provides the mandatory control plane required to move AI beyond the demo. Every environment starts here to ensure durable, auditable operations.
Pricing that lets your first AI system earn its way forward.
Start with Grid OS, add practical execution capacity, and expand spend only when real workflows justify it. EngineGrids keeps price tied to the work your business actually runs.
Pricing model
Start with Grid OS, add the capacity the workload actually needs, and keep the buying decision simple.
Every EngineGrids launch starts with Grid OS. Build on a deterministic platform where you only add capacity as your workflows earn it, protecting your business from pilot waste and hidden technical debt.
Choose CPU for practical business ops, or GPU for inference-heavy production work.
Pulse services cover CPU-backed automations, routing, reminders, service handoffs, and recurring work that does not need GPU capacity. GPU services are available when outcomes require dedicated execution.
Add capacity only as the work earns it.
No hidden costs or integration debt. Start with a practical first bundle, then move into higher-capacity Grid OS, CPU, GPU, or managed model usage only when the work earns it.
Recommended launch paths
Invest in the infrastructure that survives the pilot.
Start with the workflows your business already depends on.
For revenue protection, support triage, and operational handoffs, Spark Grid plus Pulse Standard provides a durable operating home for your first AI win.
- Good for
- Lead follow-up, customer response, and recurring internal ops.
Choose GPU capacity when outcomes require dedicated execution.
Start with Spark or Surge when inference-heavy tasks or high-concurrency swarms are part of the plan. Build on deterministic GPU infrastructure.
- Good for
- Copilot swarms, high-volume inference, and dedicated workloads.
Invest in the foundation you will still want three years from now.
Move into Flow or Apex for pre-production environments and enterprise-scale operations. Turn AI into a durable, auditable company asset.
- Good for
- High-volume swarms, pre-production, and enterprise growth.
Recommended first bundle
Start with one bundle that builds durable business value.
Launch your first AI win on a foundation built to last. This bundle gives your team a governed operating home and dependable CPU execution for production-ready work.
Spark Grid
A durable operating home for dev, test, and the first real workflow you want to keep.
Pulse Standard
Deterministic CPU execution for everyday agent workflows and operational follow-through.
OpenAI GPT-5.4 Mini
Add managed model usage only when your workflow needs EngineGrids to carry inference.
Start with the foundation
Every environment starts with the operating layer required to run AI systems your team can inspect and keep.
Run everyday workflow automation
Pulse services cover routing, service handoffs, reminders, recurring work, and practical AI operations.
Add dedicated capacity when needed
Choose GPU capacity when production outcomes require heavier inference, stronger isolation, or specialized workloads.
Use managed models only when they help
Add managed model usage when your workflow needs EngineGrids to carry inference, not before.
Invest in the foundation your AI work can grow into.
Move beyond disposable experiments by matching platform, CPU, GPU, and model spend to the work your business is ready to operate.
Choose the grid
Grid OS provides the operating home every EngineGrids launch needs.
Add execution
Pulse services cover everyday automations, routing, reminders, and service handoffs.
Track usage
Keep billing, workload units, capacity, token usage, and forecasted spend visible before the system expands.
Expand deliberately
Add capacity after the system is useful, reviewable, and worth running across more teams or workflows.
Review the actual pricing paths.
Grid OS, CPU, GPU, and managed model usage are priced separately so teams can match spend to real operating needs.
Start with Grid OS. Keep CPU, GPU, and Model Usage separate so spend follows the work your team is actually operating.
Mandatory foundation
Grid OS
Learn MoreGrid OS is the operating foundation for every EngineGrids environment. Start here, then add the execution capacity your first workflow actually needs.
| Name | API name | Best fit | Hourly price | Monthly price | Billing |
|---|---|---|---|---|---|
Lowest cost | Experimental and dev grids on interruptible spot capacity | $0.016756 | $12.24 | ||
Best first launch | Dev, test, and the first real workflow you want to keep | $0.081451 | $59.50 | ||
Growing teams | Growing teams and moderate agent volume | $0.162902 | $119 | ||
Pre-production | Stage, pre-production, and high-concurrency work | $0.325804 | $238 | ||
Maximum headroom | Production-scale systems and enterprise growth | $0.698152 | $510 |
Start with a bundle that builds business value.
A common first launch pairs Spark Grid with Pulse Standard, then adds managed model usage only when the workflow needs EngineGrids to carry inference.
Spark Grid
A durable operating home for dev, test, and the first real workflow your team wants to keep.
Pulse Standard
Everyday CPU execution for follow-up, routing, support, and operational work that needs dependable follow-through.
Managed frontier models
Add managed model usage only when the workflow needs it, with input and output token costs kept separate.
Launch the foundation your first AI system deserves.
Open the portal, start with one useful workflow, and add capacity as your systems prove they are worth expanding.