Disclaimer

Last updated: July 9, 2026

This Disclaimer applies to the use of ClusterVault Analytics (ClusterVault Analytics Limited) and its content. We provide information and analytical tools for general informational and educational purposes only. By accessing and using our services, you acknowledge that you have read, understood, and agree to be bound by this Disclaimer in its entirety.

General Disclaimer

The information provided on our platform regarding clustering algorithms, client segmentation, and unsupervised learning methodologies is presented "as is" without warranties of any kind, either express or implied. We make no representations or warranties regarding the accuracy, completeness, or reliability of any content, data, analyses, or recommendations offered through our services.

We do not guarantee that our platform will be error-free, uninterrupted, or free from viruses or harmful components. Your use of our services is at your own risk. We shall not be liable for any damages arising from the use of or inability to use the materials or services provided, including but not limited to direct, indirect, incidental, consequential, or punitive damages.

No Professional Advice

The content on our platform, including analytical insights, algorithmic recommendations, and fund categorization results, should not be construed as professional financial, legal, investment, or business advice. We are not licensed financial advisors, and nothing on our platform should be interpreted as professional guidance or recommendations for any specific financial decisions.

Before making any business decisions based on analyses from our platform, we strongly recommend consulting with qualified professionals, including financial advisors, legal counsel, and industry experts. Your organization remains solely responsible for evaluating the appropriateness and applicability of any information to your specific circumstances.

Liability Limits

To the fullest extent permitted by applicable law, we disclaim all liability for any loss, damage, or expense arising from the use of our clustering algorithms, segmentation models, or analytical outputs. This includes losses resulting from reliance on inaccurate data, incorrect algorithmic results, or misinterpretation of analytical findings.

We are not responsible for third-party content, external links, or services accessed through our platform. Our total liability for any claims arising from your use of our services shall not exceed the amount you have paid to us, if any. Some jurisdictions do not allow limitations of liability, so this provision may not apply to you in full.