Eliminate AI hallucinations with lyzr's manager

Stop letting confident-sounding but incorrect AI outputs erode customer trust. Lyzr’s Hallucination Manager provides the guardrails to ensure your AI is not just smart, but verifiably accurate.

Trusted by leaders: real-world AI impact.
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Stop AI from costing you credibility

AI hallucinations are more than just errors; they're direct threats to your brand's reputation and operational integrity. When your AI fabricates facts, provides misleading analysis, or misinterprets data, it undermines user confidence and creates significant business risk.

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Proactive detection

Our algorithms actively detect and mitigate hallucinations before they ever reach your user.

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Data-driven verification

Lyzr's AgentEval cross-references every output against verified data sources, ensuring truthfulness.

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Automated reasoning

We leverage mathematical logic, not just probabilities, to check AI responses for factual accuracy.

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Intuitive control

Configure and enforce Responsible AI policies directly from the Lyzr Studio UI—no complex coding required.

What's live in action

From unreliable to unquestionable

Don't just hope your AI is accurate. Prove it. Lyzr provides the tools to deliver verifiably trustworthy AI at enterprise scale.

Verification Accuracy Achieve near-perfect accuracy, powered by AWS Bedrock Guardrails and Lyzr's proprietary verification layers.

Tokens Process up to 100 pages of documentation to ground AI responses in your specific domain knowledge.

Leaders Join the 43% of enterprises increasing their AI spend, but do it safely and responsibly with built-in guardrails.

Your central command for responsible AI

Lyzr gives you a comprehensive toolkit to manage, monitor, and guarantee the reliability of your AI agents.

Use Lyzr Studio's UI to directly configure safety, transparency, and accountability settings like Groundedness Value and Context Relevance.
Go beyond standard checks. Our truthfulness feature validates AI outputs against real-world data for an unmatched layer of assurance.
Leverage the full power of AWS Bedrock’s Automated Reasoning Checks, integrated natively within the Lyzr platform for maximum security and performance.
Deploy agents that maintain accuracy even with noisy or unexpected data, addressing common pitfalls like prompt injection and bias.

Hear it from the customers

Frequently asked questions

Lyzr uses a multi-layered approach, combining AWS Bedrock's Automated Reasoning Checks with our proprietary AgentEval, which cross-references outputs against verified data sources.

Our platform provides direct UI configurations for Responsible AI, a unique truthfulness feature in AgentEval for data verification, and deterministic planning to proactively avoid errors.

Yes. It supports processing up to 122,880 tokens (around 100 pages), enabling comprehensive knowledge integration to answer complex queries accurately.

They use mathematical logic and formal verification to check AI responses against defined rules, providing a provable, foundational layer of defense against factual errors.

Lyzr builds upon Bedrock's powerful guardrails by adding advanced hallucination control, data-driven verification, and robust error handling for an unparalleled level of reliability.

They erode customer and internal trust, can lead to severe operational risks, and damage brand reputation with the spread of incorrect information.

It's designed for simplicity. You can enforce safety, transparency, and accountability through direct, no-code UI configurations in Lyzr Studio.

We measure success by verification accuracy, aiming for up to 99%, and truthfulness scores generated by our AgentEval module.

Our framework specifically addresses common AI pitfalls, including bias detection and toxicity control, to ensure outputs are fair and responsible.

Absolutely. Click any "Book a Demo" button on this page, and our team will show you how to deploy AI you can trust.

Deploy AI you can actually trust

Stop worrying about AI errors and start leveraging its full potential with confidence.