Disclaimer

About the Data, Models and Methods

The insights, indices, scores, and recommendations provided on this website are generated using a technology-enabled, data-driven and statistical modelling framework. These outputs are intended to assist users in understanding market trends and rationalising the home selection and evaluation process. They should not be construed as financial, legal, or investment advice.

Data Sources

• Data is collected from a combination of primary surveys and publicly available sources.
• Rental estimates are derived from prevailing rentals of nearby properties, using publicly available data sources such as IGR-registered rental agreements and other market references.

Data Processing and Limitations

• Real estate data is large-scale, sourced from multiple origins, and is often unstructured, inconsistent, and noisy.
• To address this, the data undergoes multiple stages of processing, including standardisation, cleaning, outlier removal, and geocoding.
• Machine learning techniques and statistical methods are used to structure and refine the data.
• Geocoding is carried out using third-party services (such as Google APIs), which may occasionally result in inaccuracies.

Despite rigorous processing, data discrepancies may still exist, which can impact model outputs.

Model Assumptions and Market Behaviour

• Certain market phases or time periods may deviate from established economic or real estate theories.
• In such instances, model outputs may appear inconsistent with short-term market behaviour.
• While the models have been tested and found reliable in most scenarios, particularly over the long term, no model can fully capture all market dynamics at all times.

Use of Regression and Data Augmentation

• Transaction, supply, and rental data are often limited at any given point in time and may not fully represent the entire city or regional market.
• Advanced regression and statistical models are therefore used to augment and populate datasets, including price estimation, household density, rental values, and land price indicators.

Potential Reasons for Inaccurate Predictions

1. 1. Geocoding Errors:

   Property locations are geocoded using third-party mapping APIs. As real estate valuation is highly location-sensitive, any error in geocoding may lead to incorrect outputs

2. 2. Infrastructure Impact Assumptions:
   • Upcoming infrastructure projects are mapped using GIS tools, and travel-time improvements are estimated accordingly.
   • These estimates do not fully account for future traffic patterns, congestion, or behavioural changes, which may affect actual outcomes.
3. 3. Rental Yield Estimation:

   Rental yield calculations are based on average rentals within the surrounding micro-market and do not factor in project-specific quality attributes, amenities, or management standards.

Developer and Project Ratings

• Developer and project ratings are derived from a structured grading model based on the performance of ongoing projects.
• The model assigns weighted scores to defined performance parameters.
• Data is sourced through quarterly primary surveys and public information.
• Ratings are dynamic in nature and may change as new or updated information becomes available.

Liability Disclaimer

This platform is a technology- and statistics-driven decision-support tool. By using this website, the user acknowledges and accepts the inherent limitations of data, models, and assumptions used.

Liases Foras, along with its promoters, directors, employees, and associates, does not assume any financial, legal, or other liability for errors, omissions, or inaccuracies in recommendations or outputs, whether arising from data discrepancies, modelling assumptions, third-party services, or any human, system, or automated (bot) error.

Users are advised to independently verify information and seek professional advice before making any financial or investment decisions.

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Terms and Conditions of Use

Welcome to https://www.propertyscience.com (the "Site"). This Site is owned and operated by Liases Foras Real Estate Ratings and Research Pvt. Ltd. ("Company," "we," "us," or "our"). By accessing or using this Site, you ("User," "Visitor," or "Subscriber") agree to be bound by these Terms and Conditions.

1. 1. Acceptance of Terms

   By using the Site, you represent that you have read, understood, and agree to these Terms. If you are using the Site on behalf of a company or legal entity, you represent that you have the authority to bind such entity to these terms. If you do not agree, you must immediately cease all use of the Site.

2. 2. Scope of Services

   The Site provides access to real estate research, data analytics, project risk ratings, and market reports ("Services"). These Services are for informational purposes only and do not constitute financial, legal, or investment advice.

3. 3. Intellectual Property Rights
   • Ownership: All content, including but not limited to data, text, graphics, logos, algorithms (such as the Urban Price Setting Model), and software, is the exclusive property of Liases Foras.
   • Limited License: Users are granted a non-exclusive, non-transferable, revocable license to view and download information for personal or internal business use only.
   • Prohibitions: Users shall not copy, modify, reverse engineer, distribute, or sell any information obtained from the Site. Automated data scraping, "crawling," or use of any bot to extract data is strictly prohibited.
4. 4. Nature of Information (Disclaimer)
   • "As Is" Basis: All materials and data are provided "as is" and "as available." While we strive for accuracy through primary surveys and "mystery shopping" techniques, Liases Foras does not warrant that the information is error-free, complete, or current.
   • Independent Research: Liases Foras is a non-broking, independent research firm. Recommendations are based on unbiased data and are not influenced by developers or brokers.
   • No Professional Advice: The Site does not provide legal vetting, title checks, or structural quality assessments. Users are advised to engage qualified legal and technical professionals for due diligence.
5. 5. Membership & Payments
   • Subscription: Access to detailed project information requires a mandatory subscription.
   • Refund Policy: Once a membership is activated, no refunds will be processed under any circumstances. Users are encouraged to view the "Catchment Summary" to assess available options before paying.
   • Account Security: Users are responsible for maintaining the confidentiality of their login credentials and all activities occurring under their account..
6. 6. Limitation of Liability

   To the maximum extent permitted by law, Liases Foras, its directors, and employees shall not be liable for any:

   • Direct, indirect, incidental, or consequential damages arising from the use or inability to use the Site.
   • Losses resulting from investment decisions made based on the data provided.
   • Technical failures, malware, or loss of data resulting from downloading materials from the Site.
7. 7. Indemnification

   The User agrees to indemnify and hold harmless Liases Foras against all claims, losses, and damages (including legal fees) arising from the User's breach of these terms or misuse of the Site’s information.

8. 8. Privacy & Data Collection

   By using the Site, you consent to the collection of general data (IP address, domain name, time spent) and personal information (email, phone number) as outlined in our Privacy Policy.

9. 9. Third-Party Links

   The Site may contain links to third-party websites. Liases Foras has no control over, and assumes no responsibility for, the content or practices of these external sites.

10. 10. Termination

    Liases Foras reserves the right to terminate or suspend access to the Site at its sole discretion, without notice, for conduct that violates these Terms or is harmful to the Company’s interests.

11. 11. Governing Law & Jurisdiction

    These Terms are governed by the laws of India. Any disputes arising out of the use of this Site shall be subject to the exclusive jurisdiction of the courts in Mumbai.

Disclaimer: Reasons Why Desktop Valuation May Vary from Actual Market Value

Desktop Valuation (DV) is a technology-driven tool designed to provide an indicative property value based on user inputs and Liases Foras’ proprietary algorithms. While reasonable care is taken in data processing and modelling, the accuracy of the valuation depends significantly on the quality of inputs and availability of comparable data. The following factors may lead to variations or inaccuracies in the output:

1. 1. Property Location on the Map

   After selecting the property address, the system displays the location on a map.

   • Users must ensure that the property is accurately pinned on the map.
   • If the displayed location is incorrect, the marker should be manually adjusted to the correct position.
   • Since comparable properties are selected based on proximity, incorrect geolocation may result in irrelevant comparables, thereby affecting valuation accuracy.
2. 2. Apartment / Land Size
   • The relevance and selection of comparable properties are highly dependent on the constructed area / land size entered by the user.
   • Any change in size alters the set of applicable comparables and directly impacts the base price and overall valuation.
3. 3. Insufficient Comparable Data
   • Certain locations or property types may have limited or insufficient comparable transaction data.
   • In such cases, the valuation may rely on a smaller dataset or interpolated estimates, which may reduce accuracy.
4. 4. Selection of Property and Surrounding Attributes
   • After computing the base price, DV allows users to input additional property and locality attributes such as road access, water supply, electricity, and surrounding infrastructure.
   • While some attributes are optional, they can materially influence valuation outcomes for certain properties.
   • Incorrect or incomplete selection of these attributes may lead to deviations in the estimated value.
5. 5. Data Limitations and Quality Issues

   Despite multiple layers of data cleaning and validation, inaccuracies may still arise due to:

   • Incorrect or predicted coordinates of comparable properties that fall outside the true catchment area.
   • Inconsistencies, omissions, or errors in data sourced from public or third-party domains.
6. 6. Market Behaviour and Price Irrationality
   • In certain market conditions, actual transaction prices or quoted values may deviate significantly from model-based valuations due to speculative behaviour, urgency-driven transactions, or short-term market inefficiencies.
   • Desktop Valuation follows scientific, statistical, and urban price-setting models based on available comparables and historical patterns, which may not always reflect such irrational or exceptional pricing instances.

Privacy Policy

Effective Date: December 23, 2025

This Privacy Policy describes how Liases Foras Real Estate Rating and Research Private Limited ("Liases Foras", "we", "us", or "our") collects, uses, stores, discloses, and protects information of users ("you", "your") who access or use https://www.propertyscience.com and related digital platforms, applications, products, and services (collectively, the "Platform").

By accessing or using the Platform, you agree to the terms of this Privacy Policy.

1. 1. Scope and Applicability

   This Privacy Policy applies to all visitors, registered users, customers, and other persons who access or use the Platform. It is governed by:

   • The Information Technology Act, 2000 and rules made thereunder;
   • The Information Technology (Reasonable Security Practices and Procedures and Sensitive Personal Data or Information) Rules, 2011;
   • Applicable data protection and privacy laws in India.
2. 2. Information We Collect
   • 2.1 Personal Information:

     We may collect personal information that can identify you, including but not limited to:

     • Name
     • Email address
     • Mobile number
     • Organisation name and designation
     • Login credentials (username and encrypted password)
   • 2.2 Property & Usage Information:
     • Property-related details provided by you (such as location, size, configuration, attributes)
     • Search queries and preferences
     • Desktop valuation inputs and outputs
     • User interactions with tools, dashboards, and reports
   • 2.3 Technical and Device Information
     • IP addres
     • Browser type and version
     • Device identifiers
     • Operating system
     • Date, time, and duration of access
     • Pages visited and referring URLs
   • 2.4 Cookies and Tracking Technologies

     We use cookies and similar technologies to:

     • Improve platform performance and user experience
     • Understand usage patterns and analytics
     • Enable security and session management

     You may manage or disable cookies through your browser settings; however, certain features of the Platform may not function optimally.

3. 3. Purpose of Data Collection and Use

   We collect and process information for the following purposes:

   • To provide, operate, and improve the Platform and its features
   • To generate analytics, indices, scores, ratings, and valuation outputs
   • To authenticate users and manage accounts
   • To communicate with users regarding services, updates, or support
   • To monitor usage, detect fraud, and ensure platform security
   • To comply with applicable laws and regulatory requirements
4. 4. Data Processing and Analytics

   The Platform uses technology-enabled statistical models, algorithms, and automated processing systems to analyse data and generate outputs. Such processing is intended solely for informational and decision-support purposes and does not involve automated decision-making that produces legal or similarly significant effects on users.

5. 5. Data Sharing and Disclosure

   We do not sell or rent personal information. We may share information only in the following circumstances:

   • Service Providers:With third-party vendors, cloud service providers, analytics partners, or technology providers engaged to support Platform operations, subject to confidentiality obligations
   • Legal and Regulatory:When required by law, court order, regulatory authority, or governmental request.
   • Business Transfers:In connection with a merger, acquisition, restructuring, or transfer of assets, subject to continued data protection safeguards.
6. 6. Data Retention

   We retain personal information only for as long as necessary to:

   • Fulfil the purposes outlined in this Policy;
   • Comply with legal, regulatory, or contractual obligations;
   • Resolve disputes and enforce agreements.

   Data may be anonymised or aggregated for analytical and research purposes.

7. 7. Data Security

   We implement reasonable security practices and procedures to protect information against unauthorised access, alteration, disclosure, or destruction, including:

   • Access controls and authentication mechanisms
   • Encryption and secure storage practices
   • Periodic security reviews

   While we strive to protect data, no method of transmission over the internet or electronic storage is completely secure.

8. 8. User Rights

   Subject to applicable law, you may have the right to:

   • Subject to applicable law, you may have the right to:
   • Request correction or updating of inaccurate data
   • Withdraw consent where applicable
   • Request deletion of personal information, subject to legal retention requirements

   Requests may be made by contacting us at the details provided below.

9. 9. Third-Party Links and Services

   The Platform may contain links to third-party websites or services. Liases Foras is not responsible for the privacy practices or content of such third parties. Users are encouraged to review the privacy policies of those websites independently.

10. 10. Children’s Privacy

    The Platform is not intended for use by individuals under the age of 18. We do not knowingly collect personal information from minors.

11. 11. Cross-Border Data Transfer

    Information collected may be stored or processed on servers located in India or other jurisdictions. In such cases, we ensure that reasonable safeguards are in place consistent with applicable laws.

12. 12. Changes to This Privacy Policy

    We may update this Privacy Policy from time to time. Any changes will be posted on this page with a revised effective date. Continued use of the Platform after such changes constitutes acceptance of the updated Policy.

13. 13. Compliance with the Digital Personal Data Protection Act, 2023 (DPDP Act)

    This Privacy Policy is intended to comply with the Digital Personal Data Protection Act, 2023 (India) and related rules, as and when notified.

• 13.1 Data Principal and Data Fiduciary
  • Under the DPDP Act, you are the Data Principal.
  • Liases Foras Real Estate Rating and Research Private Limited acts as the Data Fiduciary in relation to personal data collected and processed through the Platform.
• 13.2 Lawful Purpose and Consent
  • Personal data is collected and processed only for lawful purposes that are clearly specified in this Privacy Policy.
  • Where required, personal data is processed based on your free, specific, informed, unconditional, and unambiguous consent, provided through affirmative action.
  • By using the Platform and submitting your information, you consent to the collection and processing of your personal data in accordance with this Policy.

  You may withdraw consent at any time, subject to applicable legal and contractual restrictions. Withdrawal of consent may impact your ability to access certain features of the Platform.

• 13.3 Deemed Consent

  In certain circumstances permitted under the DPDP Act, personal data may be processed under deemed consent, including for:

  • performance of lawful functions;
  • compliance with legal obligations;
  • responding to user-initiated requests;
  • prevention and detection of fraud or misuse of the Platform.
• 13.4 Data Principal Rights

  As a Data Principal, you have the right to:

  • Obtain confirmation on whether your personal data is being processed;
  • Access a summary of personal data being processed;
  • Request correction, completion, updating, or erasure of personal data;
  • Withdraw consent for processing, where applicable;
  • Nominate another individual to exercise rights in the event of death or incapacity;
  • Grievance redressal in accordance with the DPDP Act.

  Requests may be made using the contact details provided below.

• 13.5 Accuracy and Reasonable Efforts

  Liases Foras shall make reasonable efforts to ensure that personal data processed is accurate, complete, and up to date, having regard to the purpose for which it is processed. Users are responsible for ensuring the accuracy of information provided by them.

• 13.6 Data Retention and Erasure

  Personal data shall be retained only for as long as necessary to fulfil the stated purpose or as required under applicable law. Upon withdrawal of consent or when the purpose is no longer served, personal data shall be erased, unless retention is required by law.

• 13.7 Grievance Redressal Officer

  In accordance with the DPDP Act, a Grievance Redressal Officer has been designated to address user concerns relating to personal data.

  Grievance Redressal Officer
  Liases Foras Real Estate Rating and Research Private Limited
  Email: privacy@liasesforas.com

  Users may escalate unresolved grievances to the Data Protection Board of India, in accordance with applicable law.

14. 14. Contact Information

    For any questions, concerns, or requests relating to this Privacy Policy or data practices, please contact:

    Liases Foras Real Estate Rating and Research Private Limited
    Email: privacy@liasesforas.com
    Website: https://propertyscience.com

Terms and Conditions for Desktop Valuation, Property Science

Effective Date: December 23, 2025

1. 1. Acceptance of Agreement

   By accessing and using www.propertyscience.com (the "Website"), you agree to comply with and be bound by these Terms and Conditions. If you do not agree, you must immediately discontinue use of the Website and its services.

2. 2. Nature of Services (AVM Disclaimer)
   • Automated Valuation Model (AVM): Property Science provides "Desktop Valuations" based on a proprietary predictive algorithm (Urban Price Setting Model).
   • Not a Physical Appraisal: You acknowledge that a Desktop Valuation is performed without a physical inspection and relies on available primary and secondary data.
   • Reliability:While we strive for high accuracy using K-mean clustering and regression models, valuations are estimates. Factors such as unusual site conditions, internal renovations, or rapid micro-market shifts may affect accuracy. For high-risk transactions, a "Full Valuation" by a certified professional is recommended.
3. 3. Intellectual Property and Proprietary Rights
   • Ownership: All data, reports, layouts, trademarks, and valuation models are the exclusive property of Liases Foras.
   • Restrictions on Use: You are strictly prohibited from:
     • Copying, duplicating, or reselling any reports or data points.
     • Using automated means (bots, scrapers, or spiders) to access our resources.
     • Reverse-engineering the valuation algorithms or recommendation engines.
   • Commercial Use:Unauthorized commercial distribution of our data is a violation of these terms and may lead to criminal or civil liability.
4. 4. User Conduct and Account Security
   • Accuracy of Information:You agree to provide accurate data (address, unit size, age, etc.) when requesting a valuation. Inaccurate inputs will result in unreliable reports.
   • Account Responsibility:You are responsible for all activities occurring under your account and for maintaining the confidentiality of your login credentials.
5. 5. Payment, Taxes, and Refunds
   • Service Fees:Prices for valuations (e.g., ₹499 or ₹799 per report) are as stated on the Website and are subject to change.
   • Taxes:All purchases are subject to applicable GST
   • Refund Policy:Once a valuation report is generated and delivered to your dashboard or email, no refunds will be issued. The service is considered consumed upon the provision of the data.
6. 6. Limitation of Liability
   • "As-Is" Basis:Services are provided without any express or implied warranties.
   • Financial Decisions:Property Science and Liases Foras are not liable for any financial losses, investment failures, or lending defaults resulting from the use of our valuation reports. The data is for informational purposes and does not constitute a recommendation to buy, sell, or lend.
   • Validity:Desktop Valuations are typically valid for 90 days. We are not liable for inaccuracies caused by market volatility beyond this period.
7. 7. Privacy and Data Usage

   Your use of the Website is also governed by our Privacy Policy. By providing your contact details, you consent to receive communications regarding your reports and occasional service updates from Liases Foras, unless you follow our "Opt-Out" procedure.

8. 8. Third-Party Links and Solicitation

   The Website may contain links to third-party sites or advertisements. Liases Foras does not endorse or assume responsibility for the content or practices of these external entities.

9. 9. Indemnification

   You agree to indemnify and hold harmless Liases Foras, its directors, and employees from any claims, damages, or legal fees arising from your breach of these terms or unauthorized use of the Website’s proprietary data.

10. 10. Termination of Use

    Liases Foras reserves the right to suspend or terminate your access to the Website at any time, without notice, if we suspect "unethical or unconventional" use of our resources or a breach of these Terms.

11. 11. Governing Law and Jurisdiction

    These Terms shall be governed by the laws of India. Any legal proceedings arising from these terms shall be subject to the exclusive jurisdiction of the courts in Mumbai, Maharashtra.