Hallucination Shield

The Problem

AI models are being asked about your company, products, and services millions of times per day. Without monitoring, you have no idea what they’re saying — or how often they’re wrong.

A single hallucination reaching a prospect can cost you a deal. A hallucination reaching a journalist can cost you a news cycle. A hallucination in a regulated domain can cost you a compliance audit.

And if you’re building AI-powered products, every response your chatbot generates is a liability. You need fact-checking in the pipeline, not after the damage is done.

The Solution

Hallucination Shield gives you complete visibility and control over how AI represents your organization — both externally and internally.

External Monitoring

Upload your ground truth once, and we continuously query 9+ AI models across OpenAI (GPT-4o, GPT-4 Turbo, GPT-3.5 Turbo), Anthropic (Claude 3.5 Sonnet, Claude 3 Opus, Claude 3 Haiku), and Google (Gemini 1.5 Pro, Gemini 1.5 Flash, Gemini 1.0 Pro) — detecting inaccuracies using AI-powered verification. When we detect a hallucination, we don’t just alert you — we help you fix it. Our automated correction pipeline deploys updates to your truth corpus, improving future responses across all monitored models.

Internal API

Building your own AI app? Drop our verification API into any LLM pipeline. Every response is scored against your truth corpus before it reaches users. Available from Starter ($349/mo) at 1,000 API calls/month, scaling to 100,000+ at Enterprise ($8,999/mo).

Overage beyond your plan’s included quota is billed at $0.03 per call — no surprises.

Why TruthVouch

Built by a veteran architect with 25 years of enterprise software experience. Our AI-powered detection engine goes far beyond keyword matching to understand semantic meaning and context, catching subtle inaccuracies that rule-based systems miss.

For developers, we offer a first-class integration experience: Python and Node.js SDKs, an interactive playground, webhook integrations, and a RAG proxy for zero-code verification at the retrieval layer. The platform runs on .NET 9 and Python 3.11+ with gRPC inter-service communication, delivering reliable API performance and a 99.9% uptime SLA at Enterprise tier.