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Chalk

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What Chalk is

Chalk is a platform for building and running production AI systems, bringing data context, model runtime, and development tools together. Its feature store and federated database engine resolve features from streams, databases, and APIs at query time, so connected data can inform models during inference. Teams can define features, manage versions, and serve computed context. Runtime services include model serving, GPU workloads, agent sandboxes, and a gateway for providers such as OpenAI, Anthropic, Gemini, Vertex, Bedrock, Cohere, and Mistral, as well as OpenAI-compatible endpoints. For evaluating and improving models and agents, Chalk provides evaluations, traces, notebooks, and fine-tuning. It can be deployed in AWS, GCP, or Azure, with self-hosted data-plane workloads inside the customer's cloud; a Chalk-managed hosted option is also described. Agent sandboxes use gVisor isolation and can restrict outbound access by hostname, CIDR, and port. Chalk offers help from forward-deployed engineers. Pricing is available on request.

Who it suits

Chalk identifies data engineers, MLOps teams, AI/ML engineers, data scientists, and AI platform engineers as audiences. It suits teams that need to serve connected data at inference time and manage model deployment or evaluation.

What it does well

  • Resolves features from streams, databases, and APIs at query time.
  • Includes model serving, GPU workloads, and agent sandboxes.
  • Provides evaluations, traces, notebooks, and fine-tuning.
  • Can run in AWS, GCP, or Azure.
  • Sandbox outbound access can be restricted by hostname, CIDR, and port.

What to know first

  • Pricing is available only on request.
  • Self-hosted data-plane workloads run inside the customer's cloud.

Getting started

  1. Visit https://chalk.ai/.
  2. Choose a web, API, or self-hosted deployment route.
  3. For self-hosting, deploy in AWS, GCP, or Azure.
  4. Contact Chalk for pricing and deployment details.

Verdict

Chalk combines feature serving, model runtime, and model-improvement tools in one platform. Teams should consider its on-request pricing and choose between a customer-cloud deployment and the hosted option.

Questions

How much does Chalk cost?

Pricing is available on request.

Which platforms does Chalk support?

Chalk lists web, API, and self-hosted platforms. Self-hosting is available in AWS, GCP, or Azure.

Can Chalk be self-hosted?

Yes. Chalk says data-plane workloads can run inside a customer’s AWS, GCP, or Azure cloud.

Which model providers does the Model Gateway support?

Provider kinds include OpenAI, Anthropic, Gemini, Vertex, Bedrock, Cohere, Mistral, and OpenAI-compatible endpoints.

What tools does Chalk include for improving models and agents?

It lists evaluations, traces, notebooks, and fine-tuning.

Does Chalk offer a SOC 2 report?

Chalk announced completion of a SOC 2 Type I audit and says the report is available by request.

Facts from Chalk's own pages

Company location
Chalk lists offices in San Francisco and New York. · chalk.ai, 3 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
Data sources
Chalk says it can resolve features using data from streams, databases, and APIs at query time. · 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
Feature store
Chalk lets teams define features and manage versions, then serve computed context at inference time. · chalk.ai, 3 Oct 2026
Headquarters
San Francisco, California, United States · chalk.ai, 28 Sept 2026
Integrations
The CLI documentation lists integration kinds including PostgreSQL, Snowflake, BigQuery, Kafka, MySQL, Redshift, and Databricks. · docs.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
Learning tools
The platform includes evaluations, traces, notebooks, and model fine-tuning. · 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
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
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
Product
Chalk describes its data platform as providing building blocks for machine learning, with an experience for developers. · 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
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
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
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

Where Chalk stands on Freedom251

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