Real-time compute
Serve fresh, complex features in under 5ms—without complicated streams.
Fresh data from any source
Fetch features directly from APIs, databases, and live systems at inference time – Chalk is data source agnostic.
Fast iteration in Python
Define features once in Python and let Chalk handle orchestration.
Unified online + offline serving
Train, test, and serve models using consistent features with point-in-time correctness, all from one platform.
Observability and lineage
Trace every feature computation from any run with time travel, drift detection, and telemetry.
Deploy in your cloud
Run in your VPC. Integrate with your existing data stores and infrastructure.
Chalk is a real-time compute engine with a built-in feature store,
designed for serving ML and GenAI features.
Our customers use
Chalk for
Chalk for
Risk Decisioning, Semantic Search, RecSys, Dynamic Pricing, Routing + Optimization, Predictive Maintenance, Resource Forecasting, Anomaly Detection, Transaction Scoring
Structured, unstructured, batch, and real-time
The Chalkboard
Why Your Feature Store Has a Freshness Ceiling
March 5, 2026
The Chalkboard
How Turo Built a Self-Serve ML Feature Platform for Search and Pricing With Chalk
February 23, 2026
Fast Company
An exclusive look at the World's Most Innovative Companies
March 26, 2026
Reuters
Databricks competitor Chalk raises $50 million series A
May 28, 2025
Book a demo and see how Chalk
powers real-time ML.