How the cloud product is sold. Inngest Cloud has a free tier and a Pro plan starting at $99 per month, including 15 seats and one million executions a month. An execution counts a function run or a step within it, so a longer workflow can use several executions. The Pro comparison lists $50 per additional million executions, with rates varying at higher volumes. The model gives Inngest a way to charge for recurring application activity as well as a base subscription. Inngest says an October 20, 2026 counting correction can raise reported execution usage for some workloads even when the workloads have not changed. It says execution overage charges for October and November are capped at September 2026 levels. An isolated place for the work. In October 2026, Inngest announced an open beta for sandboxes, isolated computing environments that developers can use within a workflow. A sandbox can be paused while a workflow waits for a review and resumed afterward; Inngest says paused time is not billed for CPU or memory. The beta is for Pro plans and above and uses Inngest's TypeScript development kit. Inngest's guidance says access is gated and recommends it for evaluation, not production workloads or irreplaceable data. The sandbox extends the same coordination idea to the computing environment itself: a team can manage an isolated task alongside the workflow that called it. That could be useful when AI-generated code needs to run separately and then wait for a human decision. Why Inngest is worth watching. Inngest announced a $21 million Series A in September 2025. Featured's case shows one operating use for the original scheduling and coordination product; the sandbox beta takes the offering into a related kind of developer work. If teams adopt sandboxes alongside those workflows, Inngest could sell both coordination and compute to the same customers, adding another usage-based charge to its cloud subscriptions.

Inngest has raised a $21 million Series A round to help companies accelerate their product iteration process. The funding was led by Altimeter, with participation from A16z, Notable, Afore, and Guillermo Rauch. Inngest's architecture and observability features enable engineers to quickly deploy workflows and agents without managing infrastructure. As AI becomes ubiquitous, the competitive edge lies in the speed of iteration rather than the initial product development.