Back to all companies
Sign in
Back to all companies
FlowiseAI logo

FlowiseAI

Summer 2023Acquired

Open source GenAI development platform

Save
FlowiseAI logo

FlowiseAI

Summer 2023Acquired

Open source GenAI development platform

Save
Company details

Flowise uses low-code approach that enable developers to manage the whole lifecycle of building LLMs apps in production. From protoyping, evaluation, to iterations.

Location
Remote
Founded
2023
Category
Artificial Intelligence
YC Directory Pageflowiseai.com
Founders
  • HH
    Henry Heng
    Founder
    X / TwitterLinkedIn
  • CO
    Chung Yau Ong
    Founder
    X / TwitterLinkedIn

Flowise uses low-code approach that enable developers to manage the whole lifecycle of building LLMs apps in production. From protoyping, evaluation, to iterations.

Location
Remote
Founded
2023
Category
Artificial Intelligence
YC Directory Pageflowiseai.com
Founders
  • HH
    Henry Heng
    Founder
    X / TwitterLinkedIn
  • CO
    Chung Yau Ong
    Founder
    X / TwitterLinkedIn

Pressure-test this opportunity

Turn this teardown into a decision-ready prompt for ChatGPT, Claude, or your agent.

On this page
  • Overview
  • Founding Story
  • Timeline
  • What They Built
  • Market Position
  • Target Customers
  • Market Size
  • Competition
  • Business Model
  • Traction
  • Post-Mortem
  • A weekend interface created a distribution engine
  • Moving up-stack prevented wrapper decay
  • Workday bought technology and community
  • Key Lessons
  • Sources

This report was generated by our Deep Research agent and may contain mistakes.

Did we get something wrong? DM @oscrhong and we'll fix it ASAP!

Startups.RIP — Dead startups, alive ideas
PricingContactPrivacyGot feedback? DM @oscrhong
Exec Briefing

Actionable insights

If you only have a few minutes to spare, here’s what investors, operators, and founders should know about FlowiseAI (S23).

  1. Accessibility became distribution. A visual interface helped users learn and share an unfamiliar stack, turning a weekend project into a large open-source funnel.
  2. Wrappers must move up-stack. Native execution, state, evaluations, and governance made the product harder to reduce to a canvas over external frameworks.
  3. Community was acquisition infrastructure. Workday bought technology plus a visible developer base that a five-person company had built without enterprise-scale distribution.
  4. Survival has separate lanes. The standalone project remains active, while the buyer's embedded builder has an announcement but no current GA or revenue proof in the reviewed record.

Overview

FlowiseAI is an open-core visual platform for building and operating AI agents. Henry Heng and Chung Yau Ong founded it in 2023, released it on GitHub that April, and sold the company to Workday in a completed acquisition announced August 14, 2025.[1][2]

This was an acquisition success, not a failure. A weekend project used open-source distribution to reach tens of thousands of developers, then moved from a drag-and-drop LangChain layer into native orchestration, evaluations, and enterprise controls. Workday bought both technology and community. The standalone service remains live, while a separate Workday Flowise Agent Builder was announced with no current official proof of general availability or revenue.

Founding Story

YC identifies Heng and Ong as active founders. Heng had been a software engineer at Fidelity Investments. In February 2023, the pair were building with LangChain, Hugging Face, and adjacent frameworks and wanted faster prototypes, less repetitive code, and a way to see an entire LLM flow.[1] Their accessibility metaphor was LEGO: connect a document loader, embeddings, and a vector database while learning how the system worked.

Flowise began as a weekend project. Heng later recalled writing its first line of code on a train from Limerick to Dublin.[3] The repository appeared publicly in April, YC acceptance followed in June, and a pre-seed plus growth to five employees followed by September.[4]

Henry Heng on FlowiseAI's origin and open-source growth

The exact circumstances in which Heng and Ong met and their early division of responsibility were not found. The public record is clearer about product purpose than company formation.

Timeline

  • February 2023: The founders conceived a visual LLM builder.[4]
  • March 31–April 2023: The public repository was created and Flowise launched as open source.[5]
  • July 5, 2023: YC launched Flowise as a low-code builder for question answering, summarization, and analysis over user data.[6]
  • End of 2023: Flowise reported 19,000 GitHub stars, 9,000 forks, 60,000 npm installs, and 650,000 Docker pulls.[4]
  • August 14, 2025: Workday announced that it had acquired Flowise; later fiscal remarks confirmed the completed transaction.[2]
  • September 16, 2025: Workday announced Flowise Agent Builder inside Workday Build, with planned first-half 2026 availability.[7]
  • 2026: Standalone Flowise remained live; releases 3.1.0–3.1.3 shipped from March through June.[8]

What They Built

Flowise launched as a drag-and-drop canvas for assembling LLM backends. Users connected models, prompts, document loaders, embeddings, vector stores, memory, and tools into flows, then deployed them without hand-writing all orchestration code.

Henry Heng demonstrates visual RAG construction in FlowiseAI

The product expanded up-stack. Current documentation separates Assistant for beginner-friendly agents, Chatflow for single-agent and retrieval systems, and Agentflow for multi-agent orchestration.[9] Agentflow V2 introduced native nodes, an execution queue, shared Flow State, branching, loops, resumable human approvals, streaming updates, and MCP-connected tools.[10]

Animated Flowise Agentflow canvas showing a visually connected AI-agent workflow
Flowise Agentflow's visual workflow canvas.

Flowise now spans more than 100 integrations, RAG, logs, tracing, evaluations, APIs, SDKs, embedded chat, air-gapped deployment, horizontal scaling, RBAC, and SSO. It offers managed cloud and self-hosting.[9] Most code is Apache 2.0, while the enterprise directory and designated files use a commercial license.[11]

Market Position

Target Customers

Flowise began with people who wanted to learn and prototype AI applications without extensive code. It expanded toward development teams and enterprises that needed controlled deployment. Current testimonials name InsightSoftware, Thermo Fisher Scientific, BTS, Liverpool Hospital, and Publicis Groupe, but do not establish paid scope or contract value.[12]

Market Size

No audited customer count, ARR, paid conversion, or market-share figure was found. Workday said Flowise had processed millions of chats and workflows and passed 42,000 GitHub stars at acquisition.[2] Those metrics show use, not revenue.

Unlock the full FlowiseAI teardown

Read the complete post-mortem, the rebuild playbook, and the exact reasons FlowiseAI is still worth studying now.

See Pro plans