For developers building AI agents and automations, Trigger.dev is a background-jobs platform that runs long-running, durable workflows — resumable across retries and deploys — directly from your codebase.
Presence & Market Position
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Orchestrators & Agentic Workflow
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Trigger.dev is positioning itself as the code-first execution layer for long-running AI agents and durable background work. Its practitioner footprint is established around concrete workflows rather than abstract agent claims: batch enrichment, multistep sequences, scheduled scraping, CSV processing, and TypeScript orchestration. Developers also discuss it as part of agent stacks where coding assistants initiate jobs that must survive retries and deploys. Recent product activity around regional infrastructure, secrets management, and agent-focused builds reinforces a brand associated with reliable execution once an AI workflow leaves the prompt and starts doing real work.
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Business Profile
Founded in 2022, Trigger.dev is an independent developer-tools company with 13 employees and $19 million in recorded funding. It has built a focused business around running background jobs and durable workflows directly from a developer's codebase, with hosted infrastructure supporting the model. The latest figures on file report $2.7 million in 2024 ARR and an $8.1 million valuation. Its current trajectory is expansion from task execution into the runtime layer for long-running AI processes.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Trigger.dev exposes a full agent-facing stack across API, MCP, SDK, and CLI. Developers define durable tasks in code and can initiate long-running jobs through documented interfaces. That makes the platform useful when a coding assistant or autonomous system needs execution that survives retries, queues, and deployments, with orchestration handled outside the model's immediate session.
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