Chalk

Founded by Marc Freed‑Finnegan & Elliot Marx & Andy Moreland in 2022

Data platform enabling ultra‑low‑latency ML feature compute and inference pipelines.

Cost

Demo, Paid

Rating

★ People love it

Time to value

Moderate Setup (1–3 hours)

Use Chalk to build, deploy, and monitor real-time machine learning features and inference workflows without managing infrastructure. It combines feature store, compute engine, monitoring, branches, and LLM toolchain in a unified Rust-based runtime. Ideal for ML/DL teams powering fraud detection, credit scoring, recommendations, or AI agents that need fresh data and fast results in production.

What Chalk does

Write ML features in Python and deploy real-time pipelinesServe inference-time features alongside training featuresBuild LLM pipelines with RAG and monitoringBranch feature definitions and backtest with historic dataCompute complex logic at <5ms latency at scaleMonitor feature drift, pipeline health, and audit logsReal-time feature pipelines with sub‑5ms latencyUnified SDKs across Python, TypeScript, Go, JavaRust compute engine powering both training and servingLLM integration via built-in toolchainBranching and backtesting with auditabilityIntegrated monitoring and drift detection