Chalk Raises $50 Million Series A to Power Real-Time AI Inference
Chalk, a leading real-time data platform for AI inference, has successfully raised $50 million in a Series A funding round, which values the company at $500 million. The funding round was headed by Felicis, with additional involvement from existing investors General Catalyst, Unusual Ventures, and Xfund and Triatomic Capital. Aydin Senkut, Founder and Managing Partner at Felicis, will serve on Chalk's board.
The investment will be utilized to fuel the development of the platform, increase its customer base, and strengthen its engineering and go-to-market teams in San Francisco and New York.
Closing the Gap in AI Inference
As the pace of AI adoption speeds up, Chalk fills a critical market void by providing real-time AI inference. Solutions such as Databricks and Snowflake handle training data pipelines but lack support for applications that need updated data and heavy computation at inference time.
Chalk’s platform offers a solution for building and deploying AI inference pipelines, enabling customers to make real-time predictions that prevent fraud, issue loans instantly, enhance clean energy efficiency, and moderate harmful content.
Meng Xin Loh, Senior Technical Product Manager, MoneyLion, said, “Chalk helps us deliver financial products that are more responsive, more personalized, and more secure for millions of users. It’s a direct line from infrastructure to impact.”
Empowering Industries with AI Infrastructure
Chalk powers real-time machine learning applications across various industries, including fintech, identity, healthcare, and e-commerce. Companies such as Socure, Found, Medely, and Iwoca rely on Chalk as a core part of their infrastructure.
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Strong Founding Team with a Proven Track Record
Chalk was co-founded by Marc Freed-Finnegan, Elliot Marx, and Andrew Moreland, who are veterans in fintech and data infrastructure. Their previous experiences at companies like Affirm, Palantir, Google Wallet, and Stripe have given them deep insight into how real-time data can transform product categories and business models.
Together, they have built a company that helps organizations scale machine learning applications and drive innovation.
