Platform Transparency
Real-time metrics from our data intelligence platform. Updated automatically as Forge, Excalibur, and Bellows process data.
Excalibur learns from privacy-preserving patterns extracted from public API schemas via Bellows. These patterns teach the model to recognize common data structures without ever seeing real customer data.
Bellows ingests thousands of public OpenAPI specifications from APIs.guru and generates synthetic training data. This creates realistic test scenarios for schema classification without using any real customer data.
Forge compiles dbt models that run natively in your warehouse. Each job analyzes table schemas, detects sensitive fields, and generates SQL transformations—all without moving data out of your environment.
Our hybrid approach combines deterministic rules, machine learning, and crowd-sourced validation to achieve high accuracy while maintaining full transparency into how each field was classified.
Last updated: 2/8/2026, 1:00:11 PM