Setting up background workers typically requires provisioning Redis clusters, RabbitMQ instances, celery workers, and complex retry logic. When serverless functions time out after 60 seconds, multi-step AI workflows and batch processing fail unpredictably.
Inngest enables durable execution for modern applications. Write complex workflows with `step.run`, `step.sleep`, and `step.waitForEvent` directly inside standard Next.js, Remix, or Express API routes without managing queue servers.
Backend Engineers, SaaS Founders building AI pipelines, and DevOps Architects
$0/mo
25,000 step executions/mo, 10 concurrent runs, 7-day history retention, local dev server
$75/mo
250,000 step executions/mo, 100 concurrent runs, 30-day retention, custom concurrency
$490/mo+
10M+ executions, 99.99% SLA, dedicated VPC connectors, custom SSO and audit logs
AWS us-east-1 + GCP us-central1 multi-region mesh
SOC2 Type II Certified ยท HIPAA Compliant ยท HMAC-SHA256 Signed Payloads ยท TLS 1.3
We built Inngest after spending years repeatedly reinventing distributed background job infrastructure across multiple startups. We wanted durable execution to be as simple as writing standard async/await code.
โBackground job execution should be decoupled from infrastructure management and handled via resilient event streams.โ
โข Native AI streaming step functions with token-level pause/resume โข Dynamic batch execution by event property โข Enhanced OpenTelemetry tracing and Grafana dashboards
Stateful human-in-the-loop approval workflows with interactive Slack webhooks
Global edge dispatch routing with localized sub-second execution
Inngest communicates with your API routes via HTTP webhooks. When a step completes or sleeps, Inngest saves state and re-invokes your endpoint when ready.
Inngest automatically retries only the failed step with exponential backoff, rather than restarting the entire multi-step workflow from the beginning.

Co-Founder & CEO at Inngest
Co-founder and CEO of Inngest, building durable execution, serverless background job queues, and event-driven step functions for modern engineering teams. Passionate about distributed systems resilience, removing queue operational overhead, and enabling developers to write resilient async workflows.
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