
We're on a mission to empower data teams with AI that thinks like your best engineer, ships production-ready code, and never compromises on quality.
To eliminate the bottleneck between data analysts and production pipelines, enabling teams to ship faster without sacrificing quality or governance.
A world where every data analyst can build production-grade pipelines with the confidence of a senior engineer, powered by AI.
At Zingle AI, we believe that data teams shouldn't be held back by engineering bottlenecks. Our mission is to bridge the gap between what analysts want to build and what engineers have time to review, deploy, and maintain.
We're building AI that doesn't just generate code. It generates production-ready, governed, tested, and documented pipelines that meet enterprise standards from day one.
We envision a future where data analysts can focus on insights, not infrastructure. Where every pipeline ships with built-in governance, testing, and documentation. Where engineering teams spend less time rewriting analyst code and more time on innovation.
Our vision is an AI data engineer that works alongside your team, learns your standards, and ships code that your best engineer would be proud of.

CEO
Working with world's smartest folks to figure out how generative AI can bring revolution in data engineering and analytics.

Co-founder
Computer science researcher studying the use of machine learning and large language model (LLM) approaches for data-driven analytics research.
AI that builds pipelines like your best data engineer. No vendor lock-in, faster deployments, lower warehouse costs, and zero production incidents.
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