Search For Organics – OSINT Verification Framework Summary: This document defines the Open Source Intelligence (OSINT) verification framework used by Search For Organics to validate organic claims, assess supply chain credibility, and assign structured confidence scores based on multi-source corroboration and traceability analysis. 1. Purpose of the OSINT Framework The OSINT Verification Framework is designed to evaluate the credibility of sustainability and organic-related claims using publicly available data sources. Its primary function is to reduce uncertainty by replacing single-source certification reliance with multi-source validation logic. Core Objective To establish a transparent, repeatable, and scalable method for verifying organic systems through open-source intelligence methods. 2. Verification Philosophy Verification within Search For Organics is not binary (true/false). Instead, it is probabilistic and structured around confidence levels derived...
Search For Organics – Platform Architecture & Intelligence Layer Summary: This document defines the internal architecture of the Search For Organics system, including data ingestion pipelines, normalization processes, AI classification layers, OSINT verification logic, and structured output systems that transform raw sustainability data into usable intelligence. 1. Platform Architecture Overview Search For Organics is built as a modular intelligence system designed to process heterogeneous global data related to organic materials, certification systems, and sustainable supply chains. The architecture is structured as a multi-layer pipeline that transforms unverified, fragmented information into standardized and queryable intelligence outputs. System Design Principle The system is designed around a core principle: sustainability data must be treated as structured intelligence, not static documentation. 2. Data Ingestion Layer The ingestion layer collects raw...