Hal9 for Web

Hal9 — Visual Builder for Machine Learning Apps

Hal9 is a visual-first application builder designed to accelerate the creation of machine learning-powered applications. It simplifies connecting authentication providers and data sources so non-web-developers can assemble functional apps quickly, while also producing code artifacts that development teams can extend and deploy.

Core strengths

• One-click shareable reports with built-in privacy safeguards and fast, on-demand insights.
• A catalog of ready-made templates for finance calculations, automated data extraction, and model execution.
• Deployment options that let organizations host the platform on their own infrastructure for stronger compliance and tighter data control.
• An intuitive drag-and-drop designer that keeps the focus on workflows while exposing the underlying code for customization.

Language and runtime compatibility

Hal9 supports a mix of mature and emerging languages, allowing teams to work in their preferred ecosystems:

• TypeScript
• Rust
• Julia
• JavaScript
• R
• Python

This multi-language backend makes it easy to combine libraries and tools from different communities in a single application.

Integration and extensibility

• Connectors for authentication and a variety of data sources remove the need for hand-coding integration layers.
• Generated code assets provide developers with a starting point for deeper customization or production hardening.
• The visual design surface and programmatic output together let product teams prototype quickly and engineers productionize reliably.

Try-before-you-buy and privacy controls

Organizations can request trial runs using their own internal datasets to evaluate accuracy and performance in a realistic setting. Trials produce rapid analyses and shareable outputs while keeping data processing local if required, helping teams validate value without exposing sensitive information.