Perplexity makes no guarantee that the AI-generated answers or search results are accurate, complete, or fit for any particular business purpose. The service is provided without any warranty.
This analysis describes what Perplexity AI's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This provision means that if an employee or end user relies on a Perplexity AI output that turns out to be incorrect, the enterprise customer has no warranty claim against Perplexity. The terms place the entire risk of AI output accuracy on the customer.
Interpretive note: The exact disclaimer language was not directly extractable from the truncated HTML rendering of this document; this provision is inferred from the document type and standard enterprise SaaS AI terms patterns. The specific wording and scope may differ from what is stated in the actual agreement text.
Enterprise customers cannot rely on Perplexity's AI-generated outputs for high-stakes or regulated decisions without independent verification, as the agreement disclaims any warranty of accuracy for AI responses. This is particularly material for organizations in healthcare, legal, or financial services where output accuracy may carry regulatory or liability consequences.
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"THE SERVICE AND ALL CONTENT, OUTPUTS, AND MATERIALS PROVIDED THROUGH THE SERVICE ARE PROVIDED 'AS IS' AND 'AS AVAILABLE' WITHOUT WARRANTY OF ANY KIND. PERPLEXITY DISCLAIMS ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY WARRANTY OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, OR ACCURACY OF AI-GENERATED OUTPUTS.— Excerpt from Perplexity AI's Perplexity Enterprise Terms
(1) REGULATORY LANDSCAPE: This provision engages FTC Section 5 authority regarding deceptive or misleading AI outputs, and may interact with the EU AI Act's requirements for high-risk AI system transparency and accuracy disclosure. For enterprise customers in regulated sectors, sector-specific regulators such as HHS, SEC, or financial regulators may impose accuracy and documentation obligations that the disclaimer does not relieve the customer of. (2) GOVERNANCE EXPOSURE: High. The blanket disclaimer of AI output accuracy creates material operational risk for enterprise customers deploying the service in contexts where employees may act on AI-generated information without independent verification. The disclaimer is broad and covers all outputs without carve-outs for specific use cases. (3) JURISDICTION FLAGS: EU enterprise customers should assess this disclaimer against the EU AI Act's transparency and accuracy requirements for AI systems used in professional contexts. In regulated US sectors such as healthcare and financial services, enterprise customers remain subject to sector-specific accuracy obligations regardless of this disclaimer. (4) CONTRACT AND VENDOR IMPLICATIONS: Procurement teams should assess whether this disclaimer is acceptable given the intended deployment scope. Negotiating for minimum accuracy standards, audit rights over model outputs, or incident notification obligations may be appropriate depending on use case. (5) COMPLIANCE CONSIDERATIONS: Legal teams should document the disclaimer scope and ensure internal AI governance policies require human review of Perplexity outputs before use in consequential decisions. Acceptable use policies issued to employees should reflect this limitation.
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This provision means that if an employee or end user relies on a Perplexity AI output that turns out to be incorrect, the enterprise customer has no warranty claim against Perplexity. The terms place the entire risk of AI output accuracy on the customer.
Enterprise customers cannot rely on Perplexity's AI-generated outputs for high-stakes or regulated decisions without independent verification, as the agreement disclaims any warranty of accuracy for AI responses. This is particularly material for organizations in healthcare, legal, or financial services where output accuracy may carry regulatory or liability consequences.
ConductAtlas has identified this type of provision across 1 platforms. See the full comparison.
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