Our company is a platform that combines LLM observability, user intent analytics, explainable AI, and embedded AI Ethics — empowering companies to scale Generative AI with transparency, trust, and traceable responsibility. We turn every AI response into a safe, explainable, and auditable decision, ensuring ethical alignment from prompt to impact. NON-INVASIVE ARCHITECTURE FULL FEATURE LIST 1. LLM Observability Engine What it does: Detects hallucinations, contradictions, ambiguity, or timeouts Back-End: FastAPI, Prompt Log DB, Anomaly Classifier Front-End: Table view, risk icons, filters 2. User Behavior & Friction Analysis What it does: Detects frustration, reprompt loops, abandonment Back-End: Event tracker, heatmap aggregator Front-End: Heatmaps, UX breakdown, friction flags 2.1 Failure Detection & Alert System What it does: Real-time alerting for broken behavior Back-End: Classifier (LLM + rules), notifier API Front-End: Risk graphs, alert logs, admin config 3: AI Ethics & Risk Monitoring (Comprehensive) Multi-layer ethics detection pipeline Toxicity detection (OpenAI Moderation API + Detoxify fallback) AI European act / ISO IEC 42001 Advanced bias detection algorithm / Custom ethics taxonomy system Policy compliance checking with rules engine Ethics risk aggregation and scoring and Ethics replay and audit trail Complete database schema and API endpoints for ethics analysis Frontend components (Risk Dashboard, Event Details, Taxonomy Editor, Ethics Replay)