FindWay uses a distributed moderation and verification architecture designed for operational resilience, explainability, and false-positive minimization in humanitarian and institutional environments.

Architecture with 8 models: The system is organized into four independent language contours (CIS, Europe, Baltics, West). Each contour uses two separate ML models: a semantic classifier and a specialized model for detecting slang, text distortions, and obfuscation. Hybrid filtering: The final decision is produced by a policy layer based on neural network scoring and deterministic rules. This approach ensures strict classification of content into Approved, Pending Review, and Blocked, without direct reliance on a single model. Dynamic thresholds: Sensitivity thresholds are configured independently for each language contour and can change at runtime depending on textual patterns, special characters, and the degree of input text distortion.