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  • Enterprise AI

Zipline AI Raises $7M to Streamline AI Development


Zipline AI Raises $7M to Streamline AI Development
  • by: Source Logo
  • |
  • August 21, 2025

Zipline AI, a next-generation data platform, has raised $7 million in seed funding led by Wing VC, with participation from Stripe, Box Group, and Exceptional Capital. The funding will support team expansion and market launch of its platform, designed to simplify and accelerate AI application development. Built on the open-source Chronon data engine, Zipline unifies data pipelines, serving infrastructure, and observability tools, enabling enterprises to deploy AI products faster and more efficiently.

Quick Intel

  • Zipline AI raises $7M in seed funding led by Wing VC.

  • Platform built on Chronon, trusted by Airbnb, Stripe, Netflix, and others.

  • Streamlines AI development by unifying data pipelines and infrastructure.

  • Reduces development time from months to days with efficient compute engine.

  • Offers 6x cost reduction and 3x runtime efficiency, per Roku’s experience.

  • Plans to announce key partnerships to expand enterprise adoption.

Simplifying AI Development

Zipline’s platform addresses the complexity of building AI applications, which often requires months of work on data pipelines, serving infrastructure, and observability tools. “Building AI systems is still a long and complicated process for most companies,” said Varant Zanoyan, Co-founder of Zipline AI. “We’re tackling that complexity head-on, making it faster and easier for teams to develop and deploy AI products while reducing costs and improving observability and governance.” By integrating these components into a single platform, Zipline reduces development timelines to days, enabling rapid and safe production deployment.

Built on Proven Chronon Technology

Zipline builds on Chronon, an open-source data engine developed by co-founders Varant Zanoyan and Nikhil Simha Raprolu during their time at Airbnb. Jointly owned by Airbnb and Stripe, Chronon powers AI applications at companies like Netflix, Uber, Roku, and OpenAI. “Chronon has been the ideal feature platform,” said Krishna Chaitanya C., Senior Machine Learning Engineer at Roku. “Since adopting Chronon, we’ve seen a 6x cost reduction and a 3x boost in runtime efficiency.” Zipline extends Chronon’s capabilities into a developer-friendly platform tailored for enterprise needs.

Industry Support and Future Plans

“Zipline delivers the core data infrastructure AI teams need to build, deploy, manage, and monitor data pipelines at scale,” said Chris Zeoli, Partner at Wing VC. The platform’s open-source foundation has gained traction among organizations seeking to streamline AI/ML workflows. With $7 million in funding, Zipline plans to grow its team and announce key partnerships to further enhance its market presence, positioning it as a critical component of AI infrastructure for enterprises worldwide.

Zipline AI’s $7 million seed funding and Chronon-based platform mark a significant step in simplifying AI development. By offering a unified, scalable solution, Zipline empowers enterprises to overcome traditional AI workflow challenges, driving faster deployment, cost savings, and improved governance in the rapidly evolving AI landscape.

 

About Zipline

Zipline AI is a next-generation data platform helping enterprises accelerate AI/ML development with faster deployment, integrated governance, and lower infrastructure costs. Founded by a team of engineers with decades of experience building AI/ML infrastructure at companies like Airbnb, Stripe, Meta, Google, and Palantir, Zipline builds on the proven foundation of Chronon, an open-source engine that powers AI/ML applications at Airbnb, Stripe, and more. Zipline’s platform simplifies data pipelines, serving infrastructure, and observability to help teams focus on delivering AI systems. Backed by Wing VC, Stripe, Box Group, and Exceptional Capital, Zipline is redefining how enterprises build and scale AI/ML products.

  • Zipline AIAI FundingData InfrastructureAI DevelopmentEnterprise Tech
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