LLM Guardrails & Observability Platform
MVP in Development
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