Inngest provides a workflow engine that lets developers build durable, event-driven serverless backends without handling infrastructure, queuing or workflow execution. The platform manages queues and database state for long‑running functions and adds flow control features to manage concurrency at the user level for multi-tenant and high-volume workloads. It has added prioritization and multi-level virtual queues to help teams allocate scarce resources when running AI workloads, and customers such as SoundCloud use Inngest for video generation and transcoding workflows. The company expanded SDK support from TypeScript to Python and Go and supports live language migrations and cloud migrations without shutting down functions. Recent feature launches include Replay for bulk re-running failed jobs and new observability tools. Enterprises are also asking Inngest to help export data to warehouses and perform ETL as they consolidate tooling. Inngest is an open-source platform that lets developers build and manage serverless queues, background jobs and workflows without manual queue configuration. Developers can send an event to Inngest and the service will invoke defined TypeScript/JavaScript functions, handle retries and persist function state and history. The product enables teams to offload background tasks (for example, sending welcome emails) and to build stateful serverless applications. The company positions itself as merging event, queue and serverless function handling into a single developer-friendly experience, reducing the need to manage separate queueing infrastructure. Inngest’s founders say the tooling is increasingly relevant for chaining and state management around large language model function calls and other modern workflows. The team reports converting developers into customers and internal evangelists, helping adoption spread within customer organizations, and recently closed a financing event.

Total raised

$9M

Funding rounds

2

Latest round

Equity

Latest activity

Jan 2024