AI Infrastructure & MLOps Enterprise Only

Chalk

Real-time data and compute infrastructure for production AI and ML

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PricingEnterprise Only
Starting priceContact sales
Free planUnknown
Free trialYes
APIYes
Open sourceNo
DeploymentCloud
Last verifiedJuly 29, 2026
Overview

Tool overview

Chalk is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Chalk?

Chalk is a real-time AI data platform for agents and machine-learning models. Teams define feature pipelines in Python or SQL, compute fresh values on demand, build point-in-time correct training datasets, serve features with low latency, manage metadata and versions, and deploy inside their own cloud.

Best fit

Best for

ML and data teams operating real-time models and agent systems

Audience

Who is it for?

Machine-learning engineersData platform teamsRisk and personalization teamsAI infrastructure leaders
Recommendation

Decision note

Confirm query volume, latency targets, online and offline storage, cloud deployment, data-source coverage, training datasets, governance, support, implementation, security, and the current enterprise quote.

Capabilities

Key features

Python and SQL feature pipelines

Real-time and batch feature computation

Point-in-time correct training datasets

Low-latency online feature serving

Catalog, versioning, branches, and lineage

Deployment inside AWS, GCP, or Azure

Workflows

Use cases

Serving fraud and risk features

Powering recommendations and ranking

Building training datasets

Providing real-time context to agents

Strengths

Pros

  • Unifies training and inference definitions
  • Supports fresh on-demand computation
  • Deploys inside the customer cloud
Considerations

Cons

  • Pricing requires a sales process
  • Infrastructure setup needs ML expertise
  • Incorrect features can affect production decisions
Considerations

Limitations

A feature platform cannot correct poor source data, leakage, biased definitions, or flawed model logic. Teams must test point-in-time correctness, access controls, freshness, failure behavior, privacy, and downstream effects before using features in consequential systems.

Cost

Pricing details

Pricing modelEnterprise Only
Starting priceContact sales
Free planUnknown
Free trialYes
Pricing context

Billing options

Custom enterprise agreement

Pricing context

Pricing note

Chalk uses a sales-led enterprise pricing process. No stable public starting amount, ongoing free plan, or formal self-service trial was confirmed on the reviewed official pages.

View official pricing
Compatibility

Supported languages

  • Python
  • SQL
Connectivity

Integrations

AWS

Google Cloud

Microsoft Azure

DynamoDB

Data warehouses

Cloud secret managers

Specs

Technical details

PlatformsWeb, API
Multilingual supportUnknown
Login requiredYes
Open sourceNo
DeploymentCloud
CompanyChalk AI, Inc.
Launch year2022
Models / versionsFeature pipelines Query engine Model registry
Editions / plansFeature Store Training Data Real-Time Serving AI and LLM Toolchain
Data confidenceHigh
Last verifiedJuly 29, 2026
Documentation → Release notes → Data source →
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Answers

Frequently asked questions

Chalk is a real-time AI data platform for agents and machine-learning models. Teams define feature pipelines in Python or SQL, compute fresh values on demand, build point-in-time correct training datasets, serve features with low latency, manage metadata and versions, and deploy inside…
ML and data teams operating real-time models and agent systems
The listed pricing model for Chalk is Enterprise only. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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