For developers building integrations and internal automations, Pipedream is a serverless workflow platform that lets you mix no-code connectors with custom code steps in the same workflow, triggered by webhooks, APIs, or scheduled events.

Presence & Market Position

15
SOV Score

#21 of 22
Orchestrators & Agentic Workflow

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

Pipedream positions itself as a fast way to wire APIs, no-code connectors, and custom code into one workflow canvas, built for developers assembling integrations and internal automations. Its own framing has moved toward agent infrastructure, an agent builder for prompting, running, and deploying AI agents alongside conventional triggered workflows, backed by a connector catalog spanning thousands of apps. Its footprint in practitioner conversation is still early: a quieter presence so far than the automation category's more visible orchestration names, with little broad-based commentary or workflow-comparison discussion on record yet to describe in detail.

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Business Profile

Pipedream started in 2019 as a lean, developer-first take on workflow automation, raising $22.4M in outside funding and building toward an estimated $3.5M in annual recurring revenue on a small team. In November 2025, Workday signed a definitive agreement to acquire the company, folding it into a build-out of AI agent infrastructure that also picked up Sana and Flowise. The acquisition gives Workday's agents a way to reach into the thousands of third-party systems Pipedream already connects, with Pipedream's workflow and connector layer continuing to operate as part of that broader push.

Founded
2019
Employees
21
Funding
$22.4M
ARR
$3.5M (estimated)
Status
Acquired
Scale stage
Startup
GTM Categories
OrchestrationGTM Developer Tools

Agent Readiness

92A
Agent Readiness
APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

Pipedream built its platform around agent-style execution from early on: workflows triggered by webhooks, APIs, or schedules, with steps that mix code and no-code connectors. It has since added a dedicated AI agent builder and an MCP server exposing thousands of connected apps and prebuilt tools to AI assistants, with credentials managed and routed through Pipedream rather than exposed to the model directly.

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