$10M Seed Round to Accelerate ML

We’re proud to announce we’ve raised $10 million in seed funding led by General Catalyst, Unusual Ventures, and Xfund to build the data platform for machine learning and generative AI.

Announcing our $10M seed to accelerate machine learning

Apartment List uses Chalk’s real-time feature platform to power an individualized apartment search experience.

Apartment List | Chalk Customer Story

Hyperpersonalized apartment recommendations with Chalk

Discover how Chalk’s feature platform enables Apartment List to power dynamic, fast, low-latency recommendations, unify real-time data sources, and deliver a personalized apartment search experience—while reducing engineering overhead and accelerating ML development.

Apartment List Customer Story

CB Insights AI 100

Chalk and Databricks selected as leading Machine Learning / AI Development Platforms in 2024 CB Insights AI 100

Today we're proud to announce CB Insights recognized Chalk alongside Databricks in its 2024 AI 100 as one of the leading ML / AI Development Platforms globally.

April Events Recap

Chalk's team recaps their April 2025 tour across major AI conferences, sharing what they learnt on real-time ML infrastructure and LLM integration.

Chalk on the Move: April Events Recap | The Chalkboard

Chalk on the Move: April Events Recap

Feature Store at Work

Machine learning has long been deeply embedded in the field of fraud detection. A deep dive into how feature stores empower ML teams to build fraud models.

Feature Store at Work: A Tutorial on Fraud and Risk | The Chalkboard

A Tutorial on Fraud and Risk

A deep dive into how feature stores empower machine learning teams to detect fraud risk.

Chalk wins at GenAI Demo Day

This month, Chalk and Elliot Marx won Best Technology at The GenAI Collective's Demo Day by showing how Chalk's feature store can be used to unify traditional machine learning features with generative AI for parsing unstructured data.

Chalk wins Best Technology at The GenAI Collective's Demo Day | The Chalkboard

Chalk wins Best Technology at The GenAI Collective's Demo Day

Introducing Chalk NY

Today we’re thrilled to announce the opening of Chalk’s new expansion office in NYC.

Introducing Chalk NY | The Chalkboard

Today we’re thrilled to announce Chalk's expansion with the opening of a New York City office.

Serve up Some ML

Surprisingly, the majority of performance gains in machine learning are driven by feature engineering improvements. Consequently, the bulk of ML engineering effort tends to be spent iterating on feature pipelines: extracting new features from data, adding new data sources, and improving the implementation of existing features.

ML Serving for Beginners

How to Get Started

ML Training for Professional Engineers

MoneyLion powers real-time financial products with Chalk

Moneylion | Chalk Customer Story

Powering personal finance products with Chalk

MoneyLion uses Chalk’s real-time data platform to unify ML development, accelerate feature delivery, and reduce time-to-production.

MoneyLion Customer Story

Building PartiQL Support at Chalk

A deep dive into how we built support for PartiQL and DynamoDB on Chalk by using DuckDB's SQL parser

Deep Dive: Building PartiQL Support at Chalk | The Chalkboard

Deep Dive: Building PartiQL Support at Chalk

Quarterly Product Update: Spring

A roundup of Spring 2025’s latest product releases and feature updates. Chalk shipped major upgrades for ML in production—from compiling Python to C++ for faster inference, to new tools for managing features and understanding system performance.

Chalk Quarterly Product Update: Spring | The Chalkboard

This quarter’s updates help ML teams move faster in production with better performance, observability, and flexibility.

Quarterly Product Update: Winter

A roundup of the latest product releases, feature updates, and new documentation for the end of the year.

Chalk Quarterly Product Update: Winter | The Chalkboard

Quarterly Product Update: Summer

New product releases and changelog updates from Chalk for summer 2024.

Chalk Quarterly Product Update: Summer | The Chalkboard

Quarterly Product Update: Fall

A roundup of Fall 2024’s latest product releases, feature updates, and new documentation and tutorials.

Chalk Quarterly Product Update: Fall | The Chalkboard

Chalk Completes SOC 2 Type 1 Report

Chalk is proud to announce the availability of our SOC 2 Type 1 Report.

Chalk is proud to announce the availability of our SOC 2 Type 2 Report.

Chalk completes SOC 2 Type 2 Report

Symbolic Python Interpreter

Chalk’s Symbolic Python Interpreter transforms flexible Python code into high-performance Velox-native expressions—accelerating real-time ML workloads without compromising developer experience

Accelerating Real-Time ML with Symbolic Python Interpreter | The Chalkboard

To eliminate Python’s performance bottlenecks in real-time ML, Chalk built a Symbolic Python Interpreter that converts flexible Python resolver code into optimized Velox-native expressions.

Accelerating Real-Time ML with Symbolic Python Interpreter

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Discover how Chalk’s platform helped Verisoul increase detection accuracy with Chalk’s powerful, efficient, and secure platform.

Verisoul Chalk Customer Story

Eliminating fake accounts with Chalk

Discover how Chalk’s platform helped Verisoul increase detection accuracy, ship updates 10x faster, and reduce engineering overhead—all while keeping critical platforms secure at scale.

Verisoul Customer Story

Discover how Vital predicts hospital wait times with Chalk’s powerful, secure, and reliable feature platform.

Vital Chalk Customer Story

Predicting hospital wait times with Chalk

Discover how migrating to Chalk helped Vital dramatically increase the pace of its product development while giving it confidence its patient data would never leave its own cloud infrastructure.

Vital Customer Story

What is a Feature Store?

A feature store is more than a tool–it is a secret weapon that empowers teams to innovate faster, collaborate better, and deliver production grade machine learning.

Feature Stores: An Architectural Deep Dive | The Chalkboard

An Architectural Deep Dive

An introduction to the feature store: a powerful hub at the heart of machine learning platforms that every production machine learning team needs to innovate faster, collaborate better, and deliver high-performing models.

Why We Are Better

This is a custom blog post summary that doesn't actually match the content of the blog post. Mister Peanut and his peanut factory are our biggest customer when it comes to the metric of ...

The Chalkboard

Product updates, insights, and behind-the-scenes explorations from the team — all on the Chalk blog.