Chalk is a real-time platform for machine learning that enables organizations to deploy, manage, and operate ML models with immediate responsiveness. Chalk focuses on providing the infrastructure necessary for machine learning systems to deliver predictions and outcomes in real time, supporting modern data-driven applications that require fast, reliable, and scalable ML capabilities.
Chalk offers tools and a platform that allow developers and data teams to integrate machine learning models directly into production workflows, reducing latency and complexity. Their platform is designed to solve the common challenges of operating ML systems at scale—such as serving models with low latency, managing data pipelines, and ensuring reliability in real-world environments.
How was Chalk started?
Chalk was founded by Marc Freed-Finnegan, Elliot Marx, and Andy Moreland, who bring significant experience from leading technology and financial companies. Marc previously spent years at Google, where he launched the first version of Google Wallet, and later started Index, which Stripe acquired (now known as Stripe Terminal). Elliot built early risk and credit data infrastructure at Affirm and later co-founded Haven Money, which was acquired by Credit Karma. Andy worked at Palantir on large-scale government data infrastructure and also co-founded Haven Money with Elliot. Their combined backgrounds in data infrastructure, payments, and fintech inspired the creation of Chalk to address real-time machine learning challenges.
Who uses Chalk?
Chalk serves technology-driven companies that rely on machine learning for core business operations. Their customers include organizations such as Ramp, Melio, Whatnot, Socure, Vital, Moneylion, Apartment List, Found, Pipe, and Turo. These businesses leverage Chalk's platform to integrate and scale real-time ML models, supporting applications in finance, marketplaces, identity verification, and more.
What makes Chalk different?
Chalk distinguishes itself by focusing specifically on the operational and infrastructure needs required for real-time machine learning. By providing a platform tailored for low-latency model serving and seamless integration with production systems, Chalk addresses the speed and reliability demands of modern data applications.
To learn more about Chalk's mission and founding story, visit their About page.
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