Chalk

Input—per 1M tokens

Output—per 1M tokens

Context—tokens

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About

Chalk is ranked #3 of 15 in feature store software on Inferse. It runs on API, Self-hosted, Web.

Compared on feature store software

Online store: Yeschalk.ai
Offline store: Yeschalk.ai
Point-in-time joins: Yeschalk.ai
Feature monitoring: Yeschalk.ai
Deployment model: bothchalk.ai
Serving modes: bothchalk.ai

Facts

Product: Chalk describes itself as a platform for production AI that combines context, runtime, and learning tools.chalk.ai · 2 Oct 2026
Live context: Its feature store and federated database engine serve context from connected data sources at inference time.chalk.ai · 2 Oct 2026
Runtime: Chalk offers model serving, GPU workloads, agent sandboxes, and a model gateway.chalk.ai · 2 Oct 2026
Learning tools: The platform includes evaluations, traces, notebooks, and model fine-tuning.chalk.ai · 2 Oct 2026
Integrations: The homepage illustrates connected sources including Postgres, Stripe, Snowflake, Zendesk, and documents.chalk.ai · 2 Oct 2026
Self-hosting: Chalk can be deployed in AWS, GCP, or Azure environments, with data-plane workloads running inside the customer's cloud.chalk.ai · 2 Oct 2026
Sandbox security: Chalk says agent sandboxes use gVisor isolation and allow customers to restrict outbound network access by hostname, CIDR, and port.chalk.ai · 2 Oct 2026
Compliance: Chalk announced completion of a SOC 2 Type I audit in March 2023 and says the report is available by request.chalk.ai · 2 Oct 2026
Support: Chalk offers hands-on support from forward-deployed engineers to help teams get models and agents into production.chalk.ai · 2 Oct 2026
Intended users: The site identifies data engineers, MLOps teams, AI/ML engineers, data scientists, and AI platform engineers as audiences.chalk.ai · 2 Oct 2026
Product: Chalk describes its data platform as providing building blocks for machine learning, with an experience for developers.chalk.ai · 3 Oct 2026
Feature store: Chalk lets teams define features and manage versions, then serve computed context at inference time.chalk.ai · 3 Oct 2026
Runtime: The platform includes model serving, GPU compute, sandboxes for agents and code, and a model gateway.chalk.ai · 3 Oct 2026
Evaluation: Chalk lists evals, traces, notebooks, and fine-tuning among its tools for testing and improving models and agents.chalk.ai · 3 Oct 2026
Data sources: Chalk says it can resolve features using data from streams, databases, and APIs at query time.chalk.ai · 3 Oct 2026
Integrations: The CLI documentation lists integration kinds including PostgreSQL, Snowflake, BigQuery, Kafka, MySQL, Redshift, and Databricks.docs.chalk.ai · 3 Oct 2026
Model providers: The Model Gateway supports provider kinds including OpenAI, Anthropic, Gemini, Vertex, Bedrock, Cohere, Mistral, and OpenAI-compatible endpoints.docs.chalk.ai · 3 Oct 2026
Self-hosting: Chalk offers self-hosted deployment, where data, features, and models stay in the customer’s infrastructure; the page says it supports fully air-gapped deployments.chalk.ai · 3 Oct 2026
Managed security: The self-hosted comparison says Chalk-hosted deployments are managed by Chalk with fine-grained access controls and SOC 2 Type II, ISO 27001, and GDPR compliance.chalk.ai · 3 Oct 2026
SOC 2 report: Chalk’s 2023 announcement says it completed a SOC 2 Type I audit and customers can contact [email protected] for a copy of the report.chalk.ai · 3 Oct 2026
Support: Chalk’s startup program offers accepted teams hands-on support from forward-deployed engineers.chalk.ai · 3 Oct 2026
Intended users: Chalk presents use cases including fraud detection, payments, underwriting, recommender systems, search and ranking, and dynamic pricing.chalk.ai · 3 Oct 2026
Company location: Chalk lists offices in San Francisco and New York.chalk.ai · 3 Oct 2026