Kestra, the open source orchestration platform for data, AI, infrastructure, and business workflows, has raised $25 million in a Series A round led by RTP Global, to fuel the launch of Kestra 2.0 and global expansion.
Kestra, the open source orchestration platform unifying data, AI, infrastructure, and business workflows, has raised $25 million in Series A funding. The round was led by RTP Global with continued participation from Alven, ISAI, and Axeleo. It brings Kestra’s total funding to $36 million. This Series A arrives 18 months after the company’s $8 million seed round in September 2024 (itself following a $3 million pre seed in late 2023). The timing and scale reflect rapid enterprise traction in a market where orchestration has evolved from a tactical tooling layer into a foundational infrastructure category, driven by the explosion of distributed systems and AI native workflows.
Since the seed round, Kestra has delivered 25× growth in enterprise revenue. In 2025 alone, organizations executed more than 2 billion workflows on the platform, a 20× increase from 100 million in 2024. The open source project now powers workflows across more than 30,000 organizations worldwide, boasts nearly 30,000 GitHub stars, and benefits from a global community of hundreds of contributors. It is the fastest growing open source orchestration platform in the industry.
Enterprise adoption is broad and high impact. Apple uses Kestra to orchestrate AI pipelines between data warehouses and AI platforms without managing underlying infrastructure. Toyota unified previously siloed data and AI pipelines into a single governed control plane. JPMorgan Chase relies on it for cybersecurity analytics workflows that process billions of rows and trigger automated remediation. BHP replaced a VMware vRA environment across global mining facilities, slashing infrastructure provisioning time from six months to six days. Crédit Agricole shifted from fragmented scripts and cron jobs to a secure, centralized orchestration layer. Additional customers include Bloomberg and Xiaomi.
These wins demonstrate Kestra’s ability to replace legacy schedulers, homegrown scripts, and fragmented tools in hybrid, multi cloud, and air gapped environments, precisely where complexity has become mission critical.
Kestra’s declarative, extensible architecture (with more than 1,200 plugins spanning cloud, SaaS, and enterprise systems) serves as a single control plane rather than requiring domain specific tools. The platform’s hybrid-first design supports deployment across regions, segregated networks, and deep inside customer environments while maintaining execution within security perimeters.
The Series A will accelerate the launch of Kestra 2.0, which introduces:
- A new distributed execution engine for mission critical reliability at scale.
- Real time observability.
- Native agentic orchestration.
Kestra 2.0 will also deliver dedicated experiences tailored to data pipeline, AI system, and infrastructure teams. Complementing this is Kestra Cloud, a fully managed, usage based SaaS offering that eliminates self hosting overhead for teams seeking the platform’s power without operational burden.
Funds will support three core priorities:
- Accelerated development and launch of Kestra 2.0.
- Geographic expansion of go to market operations across North America and Europe, including field engineering, partnerships, and customer success teams.
- Continued heavy investment in the open source ecosystem, developer experience, plugin expansion, and pathways from experimentation to enterprise deployment.
RTP Global partner Thomas Cuvelier highlighted the gap legacy schedulers and fragmented tooling can no longer close in an AI native world: “Kestra is emerging as the orchestration layer modern enterprises need… positioned to become the global standard for workflow orchestration.” He praised the team’s combination of technical vision and enterprise traction.
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CEO and co-founder Emmanuel Darras emphasized the company’s bottom-up adoption model: “Most enterprise software companies try to sell top-down and hope developers adopt. We inverted that model. Engineers didn’t adopt Kestra because we marketed to them, they adopted it because they were frustrated, and Kestra worked. Everything we’ve built since flows from that trust.”
Enterprises face an “orchestration crisis” rooted not in a lack of tools but in coordination breakdowns across increasingly distributed systems. AI workflows multiply this complexity through data retrieval, model versioning, fallback logic, approval gates, retries, policy enforcement, observability, and “human in the loop” processes, spanning teams, models, environments, and platforms. Fragmentation creates blind spots, hides failures, and scatters business critical logic without unified execution, ownership, or lineage.
Kestra positions orchestration as infrastructure, not a bolted-on feature. The funding validates that the category has reached a tipping point: Fortune 500 procurement teams are actively replacing legacy solutions, and the window to define the standard is narrowing. By building from developer pain upward and delivering a unified, extensible control plane that adapts to infrastructure (rather than forcing infrastructure to adapt to it), Kestra is capitalizing on the shift where coordination itself becomes the competitive differentiator in the AI era. The $25 million Series A provides the capital to scale this vision globally while deepening technical differentiation through Kestra 2.0 and Cloud.
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