By accessing and using this site, you acknowledge that you do so at your own initiative and that you understand the material is general information about AI enabled factor model construction, maintenance, and governance. We do not promise that the site or its content is suitable or lawful for use in every jurisdiction, nor that it addresses every nuance relevant to your organisation. You remain responsible for complying with any laws, rules, internal policies, or regulatory expectations that apply to you when interpreting or acting on information presented here.

Because this site focuses on complex topics such as AI supported factor models and financial market research, it is important to be transparent about what we are and are not responsible for. The limitations in this section apply to the fullest extent permitted by law and are intended to sit alongside, not replace, any statutory rights you may hold.

• We do not accept responsibility for any loss or damage, whether direct, indirect, incidental, consequential, or special, arising from your access to or use of this site, your inability to use it, or your reliance on any content, except where such exclusion is not allowed by law. This includes, without limitation, loss of data, interruption of business, or reputational impact.
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• Where the site includes examples, scenarios, or illustrations of AI factor model behaviour, these are hypothetical and may not reflect actual results. You should not treat them as predictions or promises. Any decisions you make based on such material are taken at your own discretion and risk.
• If, despite the limitations above, we are found to be liable to you under applicable law, that liability will be limited to the extent allowed in that jurisdiction and will not extend to losses that were not reasonably foreseeable at the time you accessed the site or used the relevant content.

We try to keep the information on this site about AI supported factor model construction, diagnostics, and governance accurate, current, and useful, but we cannot promise that every detail is complete, up to date, or appropriate for your specific situation. Markets, regulations, and technical practices change, and written material can lag behind real world developments. You should treat all content as general information and not rely on it as the sole basis for any financial or technical decision.

Nothing on this site is intended to replace personalised advice from qualified professionals who understand your specific circumstances. This includes, as relevant, financial professionals, legal advisers, tax specialists, technology experts, or compliance officers. Our content is high level and general by design, and should be one input among many in your decision making, not a stand alone directive.

Our site may contain links or references to external websites, tools, or resources that we believe are relevant to AI factor modelling or financial market research. These are provided for convenience only. We do not control, endorse, or regularly monitor third party content, and we are not responsible for its accuracy, legality, or availability. Visiting any external site is at your own discretion and subject to that site’s own terms and privacy notices.

Any references on this site to performance, outcomes, or the behaviour of factor models over time are illustrative only and do not describe what you should expect in your own environment. Your data, implementation choices, governance processes, and market conditions will differ, and so will your results. Past performance does not guarantee future results, and results may vary even when similar analytical approaches are used.

Content on this site discusses financial markets, factor models, and related analytical approaches. It is written for informational and research oriented audiences and should not be interpreted as a recommendation to buy or sell any security, adopt any particular financial plan, or pursue a specific course of action. We do not know your objectives, constraints, or regulatory obligations.

• Nothing on this site constitutes personalised financial advice, investment advice, or a solicitation to engage in any specific transaction. Any examples, scenarios, or thought experiments are illustrative only and may not reflect current market conditions or the circumstances of any particular person or organisation.
• Discussions of factor models, return drivers, or market behaviour are inherently uncertain and may not reflect how markets behave in the future. Past performance does not guarantee future results, and results may vary even when similar methods or data are used in different settings or time periods.
• Before making any financial decision, including changes to research workflows or analytical frameworks, you should consider speaking with appropriately qualified professionals who understand your specific context, regulatory environment, and risk tolerance. Our material is not a substitute for such independent advice.

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To the extent permitted by applicable law, you agree to indemnify and hold harmless Ivamelora, its team members, and collaborators from and against any claims, liabilities, damages, losses, or costs arising from your use of this site, your reliance on its content, or your breach of this disclaimer or related site terms. This does not affect any non waivable rights you may have under local consumer or privacy laws.

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We may revise this disclaimer from time to time to reflect changes in law, regulatory expectations, or how we present information about AI factor models and related topics. Updated versions will be posted on this page with a new effective date. We encourage you to review the disclaimer periodically, especially if you return after a gap or if you are relying on the material for important decisions.