I recently sat down with Jacqueline Cheong and Robin Tang, the founders of Artie, to talk about what they’re building and why we were excited to lead their Series A at Standard Capital.
At a high level, Artie is a fully managed real-time data streaming platform. Most companies still move data in batches—dumping transactional databases into analytics systems every few hours or once a day. That works until data becomes operational. Once you’re powering fraud detection, recommendations, customer-facing analytics, or AI-driven workflows, hours of lag simply aren’t acceptable. You need correctness and freshness measured in seconds.
Streaming solves that, but it’s historically been incredibly hard to build. Companies stitch together open-source tools, orchestration layers, and endless guardrails, often dedicating large teams for years—and still end up with fragile systems. Robin described leading a seven-engineer effort that spent over a year building a streaming pipeline in-house and still didn’t have something production-ready. That story is far more common than people realize.
What clicked for Jacqueline and Robin is that this problem shows up at almost every company once they reach a certain scale. Spending one to two years rebuilding basic data infrastructure is a terrible use of engineering time. Artie exists to make streaming boring—in the best way—by delivering production-grade, real-time pipelines that can be deployed in minutes, without managing complex infrastructure.
The customer use cases have been compelling. Artie powers real-time fraud detection with sub-minute latency, recommendation systems that react instantly to user behavior, and increasingly, AI-driven products where data freshness directly determines quality. AI is accelerating the shift toward real time: when models and agents are running live workflows, stale data simply doesn’t work.
We also talked about team and culture. Artie is small, fully in-person, and building software that sits directly on customers’ critical paths. That combination demands both speed and rigor. The work matters, and the bar is high.
Finally, I asked why they chose Standard. The answer wasn’t about capital—it was about partnership, pattern recognition in developer infrastructure, and learning from a community of founders building adjacent companies. That’s exactly what we aim to provide.
Artie is on the right side of a major infrastructure shift. Real time is becoming table stakes, and we’re thrilled to be partnering with Jacqueline and Robin as they build the platform that makes it possible.