Customer Stories

Built for the world’s fastest-growing teams. Chalk helps enterprises power cutting-edge AI with fresh, real-time data.

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Fraud detection, Recommendations

MoneyLion uses Chalk’s real-time data platform to unify ML development, accelerate feature delivery, and reduce time-to-production. By centralizing experimentation, serving, and governance, MoneyLion scales AI applications across fraud prevention, budgeting, and personalization.

Case Study

Recommendation Systems

Apartment List leverages Chalk’s real-time feature platform to deliver an individualized and intuitive apartment search experience. By unifying fresh data from SQL, streams, Python UDFs, Expressions, and APIs in real time, Apartment List runs sub-10ms queries for its dynamic recommendations as renters refine their search.

Case Study

Our customers use Chalk for

Credit Scoring

Risk Decisioning

Semantic Search

Recommendation Systems

Dynamic Pricing

Routing and Optimization

Predictive Maintenance

Resource Forecasting

Anomaly Detection

Transaction Scoring

Contextual Decisioning

Content Scoring

Threat Monitoring

Credit Scoring

Risk Decisioning

Semantic Search

Recommendation Systems

Dynamic Pricing

Routing and Optimization

Predictive Maintenance

Resource Forecasting

Anomaly Detection

Transaction Scoring

Contextual Decisioning

Content Scoring

Threat Monitoring

Credit Scoring

Risk Decisioning

Semantic Search

Recommendation Systems

Dynamic Pricing

Routing and Optimization

Predictive Maintenance

Resource Forecasting

Anomaly Detection

Transaction Scoring

Contextual Decisioning

Content Scoring

Threat Monitoring

Credit Scoring

Risk Decisioning

Semantic Search

Recommendation Systems

Dynamic Pricing

Routing and Optimization

Predictive Maintenance

Resource Forecasting

Anomaly Detection

Transaction Scoring

Contextual Decisioning

Content Scoring

Threat Monitoring

Credit Scoring

Risk Decisioning

Semantic Search

Recommendation Systems

Dynamic Pricing

Routing and Optimization

Predictive Maintenance

Resource Forecasting

Anomaly Detection

Transaction Scoring

Contextual Decisioning

Content Scoring

Threat Monitoring

We’re applying AI and ML at scale across key areas of our energy business with Chalk’s feature platform. It enables high-performance computation over diverse data sources using clean, reusable code. The ability to mix Python and SQL gives our team the flexibility we need, while shared feature logic across projects improves consistency and accelerates development.

Edward LiStaff AI/ML Engineer

Chalk is a key component of our underwriting pipeline, increasing velocity across our engineering, risk, and data science teams. Chalk branches let us test new code against production pipelines without disrupting them, enabling us to quickly iterate on new features and enhancements without a PR. This allows us to offer unmatched capital products with more flexibility than other offerings in the market.

Nate WigerCTO

Chalk has become a powerful addition to our machine learning infrastructure at Mission Lane. Chalk has enabled us to unify and streamline our feature calculations across both offline/batch-eval and online/live-decisioning use cases. We continue to be impressed by the flexibility and scalability of the system, and by the willingness of the Chalk team to work with us to get even more value out of it.

Mike KuhlenData Science & Machine Learning Solutions and Strategy

Chalk helps us manage a rapidly growing set of Python features computed over our large-scale, fast-growing lakehouse. Chalk brings structure and observability to what would otherwise be a complex, hard-to-maintain system. Running it in our AWS account is also a huge win for our security and compliance teams.

Mike ZhouChief Data Officer

Mike KuhlenData Science & Machine Learning Solutions and Strategy

Fraud Detection

Verisoul leverages Chalk’s real-time feature platform to combat evolving fake account threats, shipping detection updates 10x faster and using fresh inference-time data for 4x more accurate fraud detection. With complete auditability and reduced engineering overhead, Verisoul maintains speed, accuracy, and transparency—keeping critical platforms secure at scale.

Case Study

Wait-Time Predictions

Using advanced AI, Vital transforms complex health record data into easy-to-use, personalized interfaces that inform and engage over one million patients per year. After deploying Chalk, Vital was able to stop wrangling infrastructure and focus on improving its models, launching new products, and delivering a world-class patient experience.

Case Study

We fully replaced our legacy URL candidate suspiciousness scoring model with a more powerful in-house one, shipped in record time! We're optimistic our feature ideation-to-production cycles will only get faster as we 10x our scale this quarter. Huge thanks to the Chalk team for your amazing support—this wouldn’t have happened so quickly without them!

Justin D'SouzaMachine Learning Engineering

Chalk helps us deliver financial products that are more responsive, more personalized, and more secure for millions of users. It’s a direct line from infrastructure to impact.

Meng Xin LohTechnical Product Manager

Chalk has transformed our ML development workflow. We can now build and iterate on ML features faster than ever, with a dramatically better developer experience. Chalk also powers real-time feature transformations for our LLM tools and models — critical for meeting the ultra-high freshness standards we require. Beyond the product, the Chalk team has been a great partner: responsive, deeply knowledgeable, and committed to helping us move faster.

Jay FengML Engineer

Chalk’s performance directly affects the quality of our search and discovery models, which power everything from price flexibility to apartment ranking. The ability to call real-time features without dealing with stream complexity has been huge for us.

Matt WealeSoftware Engineer

Chalk has become a critical component of our Risk Intelligence Platform. It expanded Ramp's capabilities with online machine learning and enabled us to scale safely by powering our transaction fraud model and credit underwriting process.

Ryan DelgadoDirector of Engineering, Data Platform

Jay FengML Engineer