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§ Private Profile · San Francisco, CA, USA
Fully managed real-time data streaming platform moving data from databases to warehouses using CDC for AI systems, without custom engineering.
Artie has raised $61.0M across 4 funding rounds.
Key people at Artie.
Artie was founded in 2023 by Robin Tang (Founder) and Jacqueline Cheong (Founder).
Artie has raised $61.0M in total across 4 funding rounds.
Based in San Francisco, California, Artie is a fully managed real-time data streaming platform that utilizes change data capture technology to transfer information from operational databases like Postgres to data warehouses such as Snowflake. The software-as-a-service platform enables sub-minute latency for artificial intelligence systems, fraud monitoring, recommendation engines, and customer analytics without requiring custom engineering or relying on traditional batch processing methods. Operating with a team of 10 employees, the enterprise software company currently processes and synchronizes over 700 billion rows of data annually for its rapidly growing technology client base. Artie has secured $12 million in Series A funding from lead investor Standard Capital, alongside backing from Y Combinator, to support prominent corporate customers including ClickUp, Substack, and Alloy. The real-time data infrastructure company was founded in 2023 by Jacqueline Cheong and Robin Tang.
Key people at Artie.
Artie is a real-time data streaming platform that enables seamless, low-latency replication of data from operational databases to data warehouses and lakes. The company’s mission is to eliminate data latency and reduce the cost and complexity of traditional ETL (extract, transform, load) pipelines by leveraging change data capture (CDC) and stream processing. Artie’s solution is designed for companies that need up-to-date, reliable data for analytics, decision-making, and operational use cases—especially those struggling with batched or scheduled ETL processes that result in stale insights.
Artie serves a broad range of organizations, from startups to enterprises, particularly those with high-volume, frequently updated data or strict cost and compliance requirements. By streaming only the data that has changed, Artie reduces data warehouse compute costs by up to 50% and enables sub-minute latency (typically 10–20 seconds). The platform is fully managed, requires no programming to set up, and supports a variety of databases and warehouses. Since its launch on Y Combinator’s “Launch YC” and AWS Marketplace, Artie has gained traction among engineering teams and data-driven organizations seeking to modernize their data infrastructure.
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Artie was founded by a husband-and-wife team who previously worked at leading tech companies and experienced firsthand the pain points of moving data from production databases to analytics platforms. They noticed that most companies were still relying on batched ETL processes, which resulted in delayed insights and unnecessary compute costs. The founders set out to build a solution that would make real-time data replication simple, reliable, and affordable.
The idea emerged from their own frustrations with stitching together complex data pipelines using tools like Airflow, Spark, Kafka, and Flink. Artie was born as an open-source, streaming alternative to Fivetran, aiming to democratize real-time data access for organizations of all sizes. The company launched on Y Combinator’s “Launch YC” in 2023 and quickly gained attention for its ease of use, cost efficiency, and robust CDC capabilities. Early traction included adoption by startups and mid-sized companies, with growing interest from enterprises seeking to modernize their data stacks.
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Artie is riding the wave of real-time data analytics and the growing demand for low-latency, cost-effective data pipelines. As more companies move toward data-driven decision-making and operational analytics, the limitations of batched ETL have become a bottleneck. Artie addresses this by enabling real-time data replication, which is critical for use cases like fraud detection, personalization, and operational dashboards.
The timing is right: cloud data warehouses are becoming more powerful and accessible, but their costs can spiral with inefficient data ingestion. Artie’s approach aligns with the broader trend of “data democratization” and the shift from batch to streaming architectures. By making real-time data replication simple and affordable, Artie is helping to level the playing field for startups and mid-sized companies, while also meeting the scalability and security needs of enterprises.
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Artie is well-positioned to become a key player in the data infrastructure space, especially as the demand for real-time analytics continues to grow. The company’s focus on simplicity, cost efficiency, and reliability gives it a strong competitive edge in a crowded market. Future developments may include expanded connector support, deeper integration with cloud data platforms, and enhanced security features for regulated industries.
As data becomes increasingly central to business strategy, Artie’s ability to bridge the gap between operational databases and analytics platforms will only become more valuable. The company’s open-source roots and developer-friendly approach could also foster a vibrant community and ecosystem, further accelerating adoption. For investors and portfolio companies, Artie represents a compelling opportunity to modernize data infrastructure and unlock new use cases for real-time data.
Artie has raised $61.0M across 4 funding rounds. Most recently, it raised $12.0M Series A in January 2026.
Artie was founded in 2023 by Robin Tang (Founder) and Jacqueline Cheong (Founder).
Artie has raised $61.0M in total across 4 funding rounds.
Artie's investors include Dalton Caldwell, Arash Ferdowsi, Benn Stancil, Charles Hearn, Chris Best, Lenny Rachitsky, Exponent Founders Capital, Y Combinator, Accel, AirAngels, Amplify Partners, Banana Capital.
