Legal Notes

Effective Date: June 22, 2026

These Legal Notes govern the use of the Paavis website, reports, analyses, services, content, and related materials. By accessing or using Paavis products, services, or website content, you acknowledge and agree to these notices.

General Information

Paavis Inc. provides Trust Intelligence products, research, analyses, reports, scores, estimates, benchmarks, and related services designed to help organizations better understand the relationship between customer trust and business outcomes.

All information provided by Paavis is intended for informational and decision-support purposes only.

No Guarantee of Results

Trust, customer behavior, conversion, and purchasing decisions are influenced by numerous factors beyond the scope of any analytical model.

Accordingly:

Trust Scores are estimates, not measurements of objective fact.
Trust Conversion Rates are modeled probabilities, not predictions or guarantees.
Trust Value calculations are analytical estimates based on available information.
Recommendations provided by Paavis may improve outcomes but do not guarantee increased revenue, conversion rates, profitability, or business performance.

Past performance does not guarantee future results.

AI and Analytical Methodology

Paavis uses a combination of:

Proprietary methodologies
Statistical modeling
Machine learning systems
Artificial intelligence technologies
Publicly available information
Customer-provided information
Third-party data sources

to generate Trust Intelligence outputs.

While we strive for accuracy and consistency, AI-generated analyses may contain inaccuracies, omissions, assumptions, or interpretations that differ from human judgment.

Customers should independently evaluate significant business decisions and not rely solely on Paavis outputs.

Trust Scores and Benchmarks

Trust Scores, benchmarks, rankings, comparisons, and related outputs represent Paavis's interpretation of trust-related signals at a specific point in time.

Scores may change due to:

Changes in customer behavior
Changes in content or digital experiences
New information becoming available
Model improvements
Competitive market conditions
Methodology refinements

A score should be viewed as an analytical indicator rather than a definitive assessment of an organization, product, service, or brand.

Customer Data and Ownership

Except where otherwise agreed in writing:

Customers retain ownership of their proprietary data.
Paavis retains ownership of its methodologies, models, algorithms, benchmarks, reports, and intellectual property.
Customer-specific data will not be sold to third parties.
Customer-specific data will not be used to train models for other customers without permission.

Paavis may use aggregated, anonymized, and non-identifiable information for research, benchmarking, methodology improvement, and industry reporting.

Third-Party Information

Paavis analyses may reference:

Public websites
Search engines
AI platforms
Reviews
Social media content
Industry publications
Publicly available business information

All trademarks, logos, brands, and intellectual property remain the property of their respective owners.

Reference to third-party organizations does not imply endorsement, affiliation, partnership, or approval.

Research and Benchmark Reports

Research reports, benchmark studies, Trust Intelligence findings, and industry analyses are based on the information available at the time of publication.

Such materials:

Reflect the opinions and methodologies of Paavis
May change as new information becomes available
Should not be interpreted as factual certifications or independent audits
Are not intended as legal, financial, accounting, compliance, investment, or regulatory advice

Beta Services and Early Products

Certain Paavis products, features, reports, dashboards, and methodologies may be designated as beta, pilot, proof-of-concept, preview, or experimental offerings.

Such offerings may:

Change without notice
Produce incomplete results
Experience interruptions or inaccuracies
Be modified or discontinued at any time

No Professional Advice

Paavis is not a law firm, accounting firm, investment advisor, auditor, consulting firm, or regulatory authority.

Nothing provided by Paavis constitutes:

Legal advice
Financial advice
Tax advice
Accounting advice
Compliance advice
Investment advice

Customers should consult qualified professionals regarding such matters.

Limitation of Liability

To the maximum extent permitted by law, Paavis shall not be liable for any indirect, incidental, consequential, special, exemplary, or punitive damages arising from:

Use of the website
Use of Paavis services
Reliance upon Trust Scores, Trust Conversion Rates, or Trust Value estimates
Business decisions based on Paavis analyses
Interruptions, delays, or inaccuracies in services

Customers assume responsibility for decisions made using Paavis outputs.

Intellectual Property

Unless otherwise stated, all content produced by Paavis, including:

Trust Intelligence methodologies
(Net) Trust Scores
Trust/Conversion Rates
Trust Value calculations
Benchmarks
Research reports
Visualizations
Software
Documentation
Written content

is the property of Paavis Inc. and protected by applicable intellectual property laws.

No content may be copied, distributed, modified, or commercially reused without prior written permission.

Future Statements

Any statements regarding future products, features, methodologies, benchmarks, capabilities, research programs, or company plans are forward-looking statements and may change without notice.

Paavis undertakes no obligation to update such statements.

Governing Law

These Legal Notes shall be governed by and interpreted under the laws of the State of Washington, United States, without regard to conflict of law principles.

Contact

Questions regarding these Legal Notes may be directed to:

Paavis Inc.
legal@paavis.com
privacy@paavis.com
paavis.com

Plain-English Summary

Paavis helps businesses understand trust, but trust remains a human judgment. Our scores, conversion models, and recommendations are designed to inform decisions—not replace them. We strive to be transparent about our methods, responsible with customer data, and clear about the limitations of AI-assisted analysis.