Privacy Policy

1. Introduction

Auton (“we,” “our,” or “us”) respects your privacy and is committed to protecting your personal data. This Privacy Policy describes how we collect, use, disclose, and safeguard your information when you use our AI-powered customer relationship management platform and related services (collectively, the “Services”).

This Privacy Policy applies to all users of our Services, including visitors to our website, customers who use our platform, and individuals whose data is processed through our Services.

2. Information We Collect

2.1 Information You Provide Directly

• Account Information: Name, email address, phone number, company name, job title, and billing information
• Profile Data: User preferences, settings, and profile information
• Customer Data: Contact information, communication history, and interaction data you upload or enter into our platform
• Communication Data: Messages, emails, call recordings, and other communications processed through our Services
• Support Data: Information provided when you contact our support team

2.2 Information We Collect Automatically

• Usage Data: How you interact with our Services, including features used, time spent, and navigation patterns
• Device Information: IP address, browser type, operating system, device identifiers
• Log Data: Server logs, error reports, and performance metrics
• Location Data: General geographic location based on IP address

2.3 AI-Generated Information

• Conversation Insights: AI-generated summaries, sentiment analysis, and conversation metrics
• Predictive Analytics: Lead scoring, pipeline forecasting, and behavioral predictions
• Automated Classifications: AI-categorized contact information and interaction data

3. How We Use Your Information

3.1 Primary Uses

• Provide and operate our Services
• Process customer communications and interactions
• Generate AI-powered insights and analytics
• Facilitate automated workflows and processes
• Provide customer support and technical assistance
• Process billing and manage subscriptions

3.2 AI and Machine Learning Uses

• Service Improvement: Train and improve our AI models to enhance platform functionality
• Personalization: Customize user experience and provide relevant recommendations
• Automation: Enable automated responses, lead qualification, and workflow triggers
• Analytics: Generate business insights, performance metrics, and predictive analytics

4. AI-Specific Data Processing

4.1 Artificial Intelligence and Machine Learning

Our platform uses advanced AI technologies, including large language models (LLMs), to provide intelligent automation and insights. Here's how we handle AI processing:

4.2 Automated Decision-Making

Our Services may use automated processing for:

• Lead scoring and qualification
• Conversation routing and prioritization
• Content recommendations and personalization
• Fraud detection and security monitoring

You have the right to request human review of any automated decision that significantly affects you.

5. Information Sharing and Disclosure

5.2 Sharing with Service Providers

We may share information with trusted third-party service providers who assist us in:

• Cloud hosting and data storage
• Payment processing and billing
• Customer support and communication tools
• Analytics and performance monitoring
• Security and fraud prevention

All service providers are bound by strict confidentiality agreements and data protection requirements.

6. Your Rights and Choices

6.1 Access and Control

You have the right to:

• Access your personal information
• Correct inaccurate or incomplete data
• Delete your personal information (subject to legal requirements)
• Export your data in a portable format
• Restrict processing of your information
• Object to certain uses of your data

6.2 AI-Specific Rights

• Opt out of AI processing for non-essential features
• Request human review of automated decisions
• Access information about AI logic used in decision-making
• Opt out of having your data used for AI model training

7. Data Security

We implement comprehensive security measures including:

• Encryption: AES-256 encryption for data at rest and TLS encryption for data in transit
• Access Controls: Role-based access controls and multi-factor authentication
• Network Security: Firewalls, intrusion detection, and regular security monitoring
• Regular Audits: Security assessments and penetration testing
• Employee Training: Regular security and privacy training for all staff

8. Contact Us

For questions about this Privacy Policy or to exercise your rights: