A full technical overview of the Cannabis Data Aggregation Pipeline — including architecture diagrams, scraper design, normalization logic, database schema, and infrastructure — is being prepared.
Technical architecture brief available on request. See the Business Plan for an overview of CDAP.
The competitive advantage is not the UI — it's the data infrastructure. CDAP runs continuously, building a historical dataset that cannot be retroactively reconstructed. Every day it operates, the gap between COSINT and any potential competitor widens.
End-to-end data flow: source discovery, scheduled scraping, change detection, normalization, enrichment, and API delivery. Designed for horizontal scale across 38+ jurisdictions.
Per-source scraper modules, rate limiting, session management, JavaScript rendering for modern state portals, and automatic retry logic for transient failures.
Cross-jurisdiction schema mapping — the most defensible piece of IP in the stack. Handles inconsistent formats, naming conventions, and data structures across all sources.
Cloud-native deployment, scheduled job orchestration, monitoring, alerting, and disaster recovery. Built for 99.9% uptime SLA at Series A scale.