Startup profile for Inngest: latest funding, latest known valuation, total disclosed funding, investors, status, sources, and why the company is interesting. Part of the Venture Capital Tracker startup directory.
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Inngest funding, valuation and investors

Durable step-function platform for serverless workflows and AI agent orchestration.

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Funding, valuation & investors

Answer-first snapshot

Latest funding

Series A

$21M · September 2025

Latest known valuation

Not publicly disclosed

Total disclosed equity funding

$27M

Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.

Current status

private

series a · San Francisco, California, USA

Investors in latest funding

Lead: Altimeter Capital

Other: Andreessen Horowitz , Afore Capital

Sources: latest funding Last verified: 2026-07-25

Overview

Inngest is an event-driven workflow engine that lets developers define durable, multi-step processes as step functions in their existing codebase. The platform handles queues, retries, state management, and observability without requiring teams to operate workflow infrastructure. Customers include SoundCloud, Tripadvisor, Contentful, and Resend. The company raised a $6.1M seed extension in 2024 led by Andreessen Horowitz (Martin Casado led), followed by a $21M Series A in September 2025 led by Altimeter Capital with a16z, Notable Capital, and Afore Capital participating.

Why Inngest is interesting

When every team has the same LLMs, iteration speed on complex backends becomes the moat — Inngest's step.run abstraction let SoundCloud ship vinyl workflows in six weeks after nine months of failed hand-built infra.

Product & use cases

Developers define workflows as step functions using step.run in TypeScript, Python, or Go. Inngest executes steps durably with automatic retries, memoization, and built-in observability — deployable on Lambda, Cloudflare Workers, or any server without operating a workflow backend.

  • AI agent workflows with durable LLM call chains and human-in-the-loop steps
  • Background job orchestration for serverless applications
  • Content moderation and distribution pipelines (SoundCloud use case)
  • Multi-step onboarding and billing flows with automatic retry on failure

Key facts

  • Seed extension (2024): $6.1M led by a16z (Martin Casado) — Inngest blog
  • Series A (2025-09): $21M led by Altimeter; a16z and Afore re-upped — Inngest blog
  • Customers: SoundCloud, Tripadvisor, Contentful, Resend
  • AgentKit: first-party multi-agent framework with MCP tooling

Funding history (newest first)

Series A

2025-09 $21M

Source: https://www.inngest.com/blog/announcing-inngest-series-a

Seed extension

2024 $6.1M

Source: https://www.inngest.com/blog/announcing-inngest-seed-extension

Investors in our directory

Funds linked from Inngest's profile — open a fund page for stage focus and related deal articles.

Andreessen Horowitz Altimeter Capital Afore Capital

Competitive landscape

Edge: Serverless-first DX with no stateful workflow backend to operate — faster time-to-first durable workflow than Temporal for teams already on Lambda or edge runtimes.

Durable execution is becoming table stakes for AI agents and complex backends. Temporal leads on maturity and language breadth; Inngest competes on developer experience and zero-infra deployment for serverless teams. As AI workflows proliferate, observability and replay for non-deterministic LLM steps differentiate vendors.

  • Temporal direct

    Incumbent workflow-as-code with deepest production track record; requires operating worker infrastructure.

  • Trigger.dev direct

    Background jobs and workflows for TypeScript developers; similar serverless positioning.

  • AWS Step Functions incumbent

    Native AWS orchestration; less developer-friendly DX and weaker observability for AI workflows.

Notable stories

  • SoundCloud's CTO spent nine months building workflow infrastructure for content moderation and distribution; Inngest got production workflows running within six weeks — per Inngest's Series A announcement.
  • Martin Casado (a16z general partner) led the 2024 seed extension, backing Inngest's thesis that iteration speed is the new product moat in the AI era.

Industries

Developer Tools Infrastructure & Cloud AI & Machine Learning

Related funding articles

Venture Capital Tracker pieces that cover Inngest's financing or category context.

FAQs about Inngest

Practical answers founders, operators, and investors typically search for.

Inngest provides durable step-function execution for serverless backends and AI agent workflows — handling retries, state, and observability without managing queue infrastructure.
Altimeter Capital (see /fund/altimeter-capital) led the $21M Series A in 2025. Andreessen Horowitz (/fund/andreessen-horowitz) led the 2024 seed extension. Afore Capital (/fund/afore-capital) participated in both rounds.
step.run is Inngest's API for defining individual durable steps in a workflow. Each step is memoized and retried independently on failure.
Temporal offers deeper workflow-as-code with event-history replay but requires operating worker infrastructure. Inngest is serverless-first with no stateful backend — faster setup for Lambda and edge deployments.
Inngest raised $21M in a Series A in September 2025 led by Altimeter Capital.
Tony Holdstock-Brown and Dan Farrelly co-founded Inngest.
Yes. Inngest offers AgentKit for multi-agent workflows with MCP tooling, plus observability designed for non-deterministic LLM outputs.
Public customers include SoundCloud, Tripadvisor, Contentful, and Resend per Inngest's Series A announcement.
Inngest offers a hosted cloud platform with a developer SDK. Check inngest.com for current open-source components.
Approximately $27M+ across seed extension and Series A, plus earlier seed funding.
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