LLM Guardrails & Observability Platform

MVP in Development

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Overview

LLM Guardrails & Observability Platform provides real-time monitoring, security enforcement, and telemetry tracking for enterprise LLM deployments. It enables organizations to detect prompt injection attempts, estimate hallucination risk, monitor latency and token usage, and stream AI metrics into Datadog dashboards for automated alerting and incident management.

Technical Core

Built with FastAPI deployed on Google Cloud Run, integrated with Gemini via Vertex AI. Implements explainable heuristic guardrails for injection and hallucination detection, structured telemetry streaming, and enterprise-ready observability integration using Datadog.

Real World Use Cases

Enterprise AI compliance monitoring, secure generative AI deployment, production LLM risk management, AI audit logging, and automated incident response workflows.

Strategic Vision

To become a standard AI observability layer embedded into every enterprise LLM architecture, ensuring trust, transparency, and production-grade governance.

Tech Stack

Python, FastAPI, Google Cloud Run, Vertex AI (Gemini), Datadog, Docker, React