HoundDog.ai is a privacy-focused code scanning platform that analyzes source code to detect sensitive data flows, prevent PII leaks, and automate GDPR compliance reporting. The company offers two primary products under one platform. The Privacy Code Scanner integrates directly into development workflows via IDE plugins (VS Code, IntelliJ, Cursor) and CI/CD pipelines to scan code as it is written or generated. It traces sensitive data flows across functions, APIs, third-party SDKs, and AI integrations, identifying risks such as sensitive data appearing in logs, local storage, or LLM prompts. The scanner auto-generates compliance artifacts including Records of Processing Activities (RoPA), Privacy Impact Assessments (PIA), and Data Protection Impact Assessments (DPIA), pre-populated with detected data flows. It supports alignment with GDPR, CCPA, HIPAA, and other regulatory frameworks. The API Context Engine is a newer product designed for AI coding agents. It analyzes both protobuf files and service code to produce live maps of gRPC API dependencies, consumers, and field usage across microservice architectures and large monorepos. It integrates with MCP-compatible AI coding agents such as Cursor, Claude Code, and GitHub Copilot. HoundDog.ai positions its approach as "shift-left," detecting privacy risks during development rather than after deployment, distinguishing itself from production-focused privacy platforms and GRC tools that rely on manual data mapping. The platform is used by Fortune 1000 enterprises across industries including healthcare and financial services.