Marketplaces
Serve Personalized Feeds and Pricing in <5ms
Personalization depends on data freshness. Chalk serves real-time user, inventory, and session features at inference time with sub-5ms latency — powering feeds, recommendations, and pricing engines that respond instantly to platform changes.
Unify Inventory, Session, and Clickstream Data for ML
Chalk unifies session data, product metadata, behavioral signals, and third-party sources into a single feature set. Whether your data comes from streaming platforms, databases, or APIs, Chalk ensures everything is queryable, real-time, and model-ready.
Built for Dynamic Supply, Demand, and User Behavior
Whether you're launching a new ranking model, testing pricing strategies, or improving product discovery, Chalk helps marketplace teams ship features faster — while maintaining trust, speed, and safety across the stack.
Test New Ranking Strategies Without Breaking Production
With Chalk’s branching and historical backfills, data teams can test new ranking logic, promotions, and personalization logic in isolation — with built-in version control, branch deployments, and full observability.