Built for the world’s fastest-growing teams. Chalk helps enterprises power cutting-edge AI with fresh, real-time data.
Book DemoWhatnot uses Chalk to power real-time recommendations across its marketplace, from feed ranking to show discovery.

Cash advance underwriting
Grid approves more qualified customers at the same loss rate by iterating on cash advance models 3x faster, with Chalk Model Training and Chalk Context Engine.
Risk decisioning, Compliance
Melio uses Chalk to power risk decisioning on every B2B payment they process. They replaced their homegrown feature store that bottlenecked engineering with Chalk’s managed, self-serve platform that scaled feature development from a handful of engineers to 20+ across their risk org.

SEARCH AND RANKING, DYNAMIC PRICING
Turo standardized feature delivery across search, pricing, and risk using Chalk’s compute-first feature store, enabling faster iteration, predictable production performance, and a scalable foundation for real-time ML.

RECSYS, DYNAMIC PRICING
Medely uses Chalk to staff critical healthcare roles in real time, replacing a fragile batch pipeline with self-serve, real-time feature infrastructure that accelerates ML velocity across pricing and matching.
Chalk has become a powerful addition to our machine learning infrastructure at Mission Lane. Chalk has enabled us to unify and streamline our feature calculations across both offline/batch-eval and online/live-decisioning use cases. We continue to be impressed by the flexibility and scalability of the system, and by the willingness of the Chalk team to work with us to get even more value out of it.
Mike KuhlenData Science & Machine Learning Solutions and Strategy

Credit underwriting, Fraud Detection
Mission Lane uses Chalk to power real-time credit approvals, fraud detection and customer-facing features, all from a single, consistent feature platform. As modeling and decisioning became core to the business, Chalk gave the Mission Lane team the infrastructure to move faster, reduce drift, and scale confidently across systems.

Recommendation Systems
Apartment List leverages Chalk’s real-time feature platform to deliver an individualized and intuitive apartment search experience. By unifying fresh data from SQL, streams, Python UDFs, Expressions, and APIs in real time, Apartment List runs sub-5ms queries for its dynamic recommendations as renters refine their search.

Fraud detection, Recommendations
MoneyLion uses Chalk’s real-time data platform to unify ML development, accelerate feature delivery, and reduce time-to-production. By centralizing experimentation, serving, and governance, MoneyLion scales AI applications across fraud prevention, budgeting, and personalization.
Chalk has transformed our ML development workflow. We can now build and iterate on ML features faster than ever, with a dramatically better developer experience. Chalk also powers real-time feature transformations for our LLM tools and models — critical for meeting the ultra-high freshness standards we require. Beyond the product, the Chalk team has been a great partner: responsive, deeply knowledgeable, and committed to helping us move faster.
Jay FengML Engineer

Engineering
October 19, 2026


Product
October 7, 2026
