LangGenius, Inc.
Pre-SeedRaised $41.5M at $180M valuation
Last updated March 2026
About LangGenius, Inc.
Dify is an open-source platform for building, deploying, and managing AI agents and agentic workflows. It is one of the most popular open-source AI development platforms on GitHub. Founded in 2023 and headquartered in San Francisco, USA, LangGenius, Inc. has raised a total of $41.5M in funding and is currently at the Pre-Seed stage. Notable investors include HSG, GL Ventures, Alt-Alpha Capital, 5Y Capital. The company has an estimated revenue of $3M ARR.
Total Funding
$41.5M
Valuation
$180M
Est. Revenue
$3M ARR
Employees
25-50
LangGenius, Inc. — Key Facts
| Company | LangGenius, Inc. |
|---|---|
| Product | Dify |
| Founded | 2023 |
| Headquarters | San Francisco, USA |
| Employees | 25-50 |
| Funding status | Venture-backed |
| Total funding | $41.5M |
| Valuation | $180M |
| Stage | Pre-Seed |
| Est. revenue | $3M ARR |
| Founders | Luyu Zhang, John Wang |
| Website | dify.ai |
Founders
Funding Rounds
- Series Pre-A$30MMar 2026HSGGL VenturesAlt-Alpha Capital5Y CapitalMizuho Leaguer InvestmentNYX Ventures
- AngelUndisclosedMar 2025
Investors
Company Profiles
LangGenius, Inc. — Frequently Asked Questions
Who owns Dify?
Dify is developed by LangGenius, Inc., headquartered in San Francisco, USA.
Who founded LangGenius, Inc.?
LangGenius, Inc. was founded by Luyu Zhang and John Wang in 2023.
How much funding has LangGenius, Inc. raised?
LangGenius, Inc. has raised $41.5M and is at the Pre-Seed stage. Investors include HSG, GL Ventures, Alt-Alpha Capital, 5Y Capital.
How many employees does LangGenius, Inc. have?
LangGenius, Inc. has approximately 25-50 employees.
Where is LangGenius, Inc. headquartered?
LangGenius, Inc. is headquartered in San Francisco, USA.
What is LangGenius, Inc.'s estimated revenue?
LangGenius, Inc. has an estimated revenue of $3M ARR.
Also Compare
Dify Review
Read full review, pricing, and alternatives
Dify offers a more polished all-in-one AI app builder than Flowise, a more accessible visual interface than LangChain, and deeper AI-native capabilities than n8n, though it trades off some low-level flexibility and general-purpose automation breadth.