Artie, a platform specializing in fully managed real-time data streaming, has announced the successful closure of a $12 million Series A funding round. The investment was led by Dalton Caldwell at Standard Capital, with additional participation from Y Combinator, Pathlight Ventures, and several angel investors, including Arash Ferdowsi (Dropbox co-founder), Benn Stancil (Mode CTO), Chris Best (Substack CEO), Charles Hearn (Alloy CTO), and Lenny Rachitsky (Lenny’s Podcast). This funding aims to support the company’s growth as businesses increasingly require fresh data for their AI systems.
The demand for real-time data has grown significantly as companies integrate AI into operational systems, workflows, and customer interactions. Traditional batch-based data processing often falls short, leading to challenges in maintaining data freshness and reliability. Artie addresses this by providing production-grade real-time data pipelines as a fully managed service, enabling data movement across systems, such as streaming changes from Postgres to Snowflake, without requiring extensive in-house engineering.
Jacqueline Cheong, co-founder and CEO of Artie, emphasized the shift in data infrastructure. “AI has pushed data out of dashboards and into live systems that make decisions, trigger workflows, and interact with customers,” Cheong stated. “In that world, data freshness becomes a requirement for correctness. We believe the next generation of data infrastructure will be streaming by default, with everything else built on top of that foundation. In a few years, the only companies that won’t be streaming-first will be the ones that haven’t fully embraced AI.”
Artie’s platform is currently utilized by companies such as ClickUp, Substack, and Alloy, processing over 700 billion rows of data annually. These organizations leverage Artie for AI and machine learning workloads, customer-facing analytics, and operational systems. The platform helps teams avoid the need to manage complex tasks like schema evolution, transactional integrity across shards, failure recovery, or handling missing or out-of-order writes. This approach leads to reduced operational risk, fewer hidden dependencies, and a quicker transition from data experimentation to production.
Michael Revelo, Director of Data Platform at ClickUp, shared his experience: “We were hesitant to outsource mission-critical infrastructure. But after working with Artie, that concern disappeared. I believed in the team before I saw the product — and the product exceeded my expectations. It just works: it’s reliable, scales with us, and delivers near real-time data without adding operational risk.”
The Series A funding will be allocated to continued investment in product development, go-to-market strategies, and team expansion. Artie plans to broaden its support beyond transactional databases and analytical warehouses to include real-time data across event APIs, search systems like Elasticsearch, vector databases, and additional platforms. The company is actively growing its team in San Francisco across engineering, product, sales, marketing, and business operations.
Dalton Caldwell, Co-Founder & Partner at Standard Capital, highlighted the importance of Artie’s technology. “AI is only as good as its input data, and data that is out of date is not much different than incorrect data,” Caldwell noted. “Artie’s real-time streaming technology makes real-time AI a reality in the enterprise.”
