- $12M Series A led by Standard Capital supports expansion of Artie’s real-time data platform.
- Platform removes complexity of building and maintaining streaming infrastructure in-house.
- Customers use Artie to run AI agents, workflows, and analytics on continuously updated data.
Artie, a company building infrastructure for reliable real-time data movement, announced a $12M Series A funding round to accelerate development of a fast, dependable platform for streaming data into live systems. The round was led by Dalton Caldwell at Standard Capital, with participation from Y Combinator, Pathlight Ventures, and angel investors including Arash Ferdowsi, Benn Stancil, Chris Best, Charles Hearn, and Lenny Rachitsky.
Real-time data has become critical as AI-driven systems increasingly make decisions, trigger workflows, and interact directly with customers. Data freshness is now essential for correctness across use cases such as customer support, automated refunds, compliance onboarding, and workflow orchestration, creating a widening gap between real-time and batch-based architectures.
Artie was built to address the complexity and operational risk of streaming high data volumes in production environments. Traditional streaming systems often require complex tooling, deep operational expertise, and constant maintenance to ensure transactional integrity, observability, and reliable failure recovery, resulting in high cost and long-term engineering overhead.
“AI is only as good as its input data, and data that is out of date is not much different than incorrect data. Artie's real-time streaming technology makes real-time AI a reality in the enterprise.” Dalton Caldwell, Co-Founder & Partner, Standard Capital.
Artie provides a fully managed real-time data streaming platform that moves data across systems continuously, enabling teams to build AI-powered products on fresh, accurate data without maintaining custom infrastructure. The platform delivers enterprise-grade streaming capabilities comparable to in-house systems built by large technology companies, without dedicated streaming teams.
Fast-growing companies including ClickUp, Substack, and Alloy use Artie to process more than 700 billion rows of data annually, supporting AI agents, machine learning recommendation systems, risk detection, and embedded analytics.
“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.” Michael Revelo, Director of Data Platform at ClickUp.
Artie enables product teams to avoid managing schema evolution, transactional guarantees, failure handling, and ordering issues at scale, reducing operational risk and accelerating the transition from experimentation to production for AI-driven applications.