Description
Chalk is a cutting-edge AI data platform that provides real-time context and compute infrastructure for agents and machine learning models. Designed for speed and efficiency, Chalk allows developers to build, deploy, and monitor real-time features using Python. The platform is deployed in your cloud, ensuring high-volume workloads are handled with ultra-low latency.
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Chalk's infrastructure is powered by Rust, which enables complex streaming, scheduling, and caching to be defined in simple, composable Python. This eliminates the need for traditional ETL processes, allowing data to be fetched in real-time regardless of complexity. The platform supports the integration of deep learning and large language models into decision-making processes alongside structured business data.
Security is a core focus for Chalk, with customer data protected through best practices integrated into every aspect of operations and product development. The platform adheres to industry-standard security frameworks and is certified via SOC-2 Type 2 and ISO/IEC 27001:2022 assessments.
Chalk offers a range of engagement options, including on-demand expertise, managed sprints, and side-by-side capacity, allowing teams to extend their engineering capabilities. The platform is trusted by enterprises for powering real-time AI applications, including fraud detection, recommendation systems, and dynamic pricing.
For startups, Chalk provides preferred pricing, hands-on engineering support, and GTM amplification, helping early-stage teams scale their AI/ML products efficiently. The platform's real-time feature serving capabilities ensure that production features are served at inference time with single-digit millisecond latency, enabling decisions on the freshest data without the need for brittle ETL or stale caches.
- CategoryMachine Learning Platforms
- Pricing ModelContact for pricing
- DeploymentCloud
- PlatformsAWS, GCP, Azure
Chalk AI Data Platform's Core Features
Real-time context and compute infrastructure
Developer-first platform with Python support
High-volume workloads at ultra-low latency
Complex streaming and caching with Rust
Integration of deep learning and LLMs
SOC-2 Type 2 and ISO/IEC 27001:2022 certified
On-demand expertise and managed sprints
Real-time feature serving with millisecond latency
Deployment in AWS, GCP, or Azure
Native Python support with Pydantic, Numpy, Pandas
Declarative pipelines with Python signatures
Rust-powered runtime for native speed
Centralized ML logic with Python-to-Rust transpilation
Hands-on engineering support for startups
Preferred pricing and GTM amplification for startups
How to use Chalk AI Data Platform?
Configure: Set up Chalk in your cloud environment
Use: Deploy and monitor real-time features
Optimize: Integrate deep learning and LLMs
Scale: Extend engineering capacity with Chalk support
Chalk AI Data Platform's Use Cases
- Fraud Detection
- Recommendation Systems
- Dynamic Pricing
- Credit Underwriting
- Healthcare Staffing
