Defy We raised $30 million in a Series Pre-A funding round to accelerate our work on an open source platform for agent workflow development.
Our platform helps you build and expand your team and operate artificial intelligence applications, agent-like Regarding workflow, Defy said on Monday (March 9): press release. It includes a visual workflow builder with infrastructure for prompt management, tool integration, knowledge search, and observability.
Defy Will use New funding to integrate modern agent features into core product experience; build A dedicated enterprise product team focused on performance and compliance launches new initiatives to support builders and provide product updates with every release.
“We built Dify to help teams transform their domain knowledge and workflows into production-grade AI applications without having to rebuild the stack every time,” said Dify Founder and CEO. Zhang Luyu said in a release. “This funding will accelerate our efforts to make agent workflows more reliable, easier to monitor, and easier for organizations to deploy at scale.”
The funding round values Dify at $180 million, according to the release.
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Dify launched its platform in 2023. Currently running on over 1.4 million machines worldwide, the commercial version of Dify is being used More than 2,000 teams and 280 companies are participating, according to the release.
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Zhou Kuipartner of HSGThe company, which led the round, said in a release: “We believe the AI application layer is in an early but accelerated phase, and platforms that standardize AI development workflows are likely to capture lasting value.”
PYMNTS reported in December. enterprise AI Companies that have been experimenting with language models at scale over the past two years are now entering a new phase as they move those systems into real-world environments.
of PYMNTS Intelligence Report “Agentic AI breaks out of the sandboxWhat was revealed was that 3 months From August to November, the percentage of corporate chief product officers who refused to give AI agents meaningful autonomy decreased from 98.3% to 63.3%.
“As 2026 approaches, the constraints to growth are no longer a matter of technology or interest, but of organizational readiness,” the report states. “The ‘just look’ phase of the AI cycle is coming to an end, and the winners of the next adoption phase will not be those that buy the best models, but those that trust their models enough to take their hands off the wheel.”
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