Privacy Policy

Welcome to SynIntel (“SynIntel”, “we”, “our”, or “us”), an Enterprise Intelligence Platform developed to help organizations transform enterprise data, business knowledge, and operational context into trusted, explainable, and decision-ready intelligence.

SynIntel combines Artificial Intelligence (AI), enterprise search, business intelligence, knowledge management, AI assistant, dashboards, contextual insights, and governed decision intelligence into a unified platform designed for enterprise environments.

Protecting the privacy, confidentiality, integrity, and security of customer information is fundamental to how SynIntel is designed, developed, and operated.

This Privacy Policy explains how SynIntel collects, processes, stores, secures, uses, shares, and protects information when customers, users, administrators, partners, and visitors access our platform, websites, APIs, applications, and related services.

Our approach to privacy is guided by the following principles:

Privacy by Design
Security by Design
Customer Data Ownership
Responsible AI
Enterprise Governance
Transparency
Explainability
Compliance

Whether SynIntel is deployed as a cloud service, private cloud solution, virtual private cloud (VPC), or customer-managed deployment, we are committed to protecting customer information using enterprise-grade technical and organizational safeguards.

By accessing or using SynIntel, you acknowledge that you have read and understood this Privacy Policy and agree to the collection and processing of information as described herein.

1. Scope of Policy

This Privacy Policy applies to all SynIntel products, services, websites, applications, APIs, AI services, and enterprise deployments unless a separate agreement explicitly supersedes this Policy.

This Policy applies to:

SynIntel Cloud Platform
Private Cloud Deployments
Customer-Managed Deployments
On-Premises Deployments (where applicable)
SynIntel AI Assistant
SynIntel Insights
SynIntel Dashboards
SynIntel Knowledge Hub
SynIntel APIs
Mobile Applications
Administration Portal
Support Portal
Customer Success Services
Professional Services
Product Demonstrations
Trial Environments

This Policy applies to:

Customers
Tenant Administrators
Platform Administrators
End Users
Business Users
Developers
Implementation Partners
Resellers
Website Visitors
API Consumers

Some enterprise customers may enter into separate contractual agreements such as a Data Processing Addendum (DPA), Master Services Agreement (MSA), or industry-specific privacy agreement. Where such agreements exist, they will supplement this Privacy Policy.

2. Definition of Personal Data

To ensure clarity throughout this Privacy Policy, the following definitions apply.

Personal Data

Any information that directly or indirectly identifies an individual, including but not limited to names, email addresses, phone numbers, IP addresses, device identifiers, authentication credentials, online identifiers, and other information defined as personal data under applicable privacy laws.

Customer Data

All information uploaded, connected, imported, synchronized, or otherwise provided by customers while using SynIntel. Customer Data may include:

Enterprise databases
Business documents
Reports
Dashboards
AI conversations
Prompts
Responses
Knowledge repositories
Business metadata
Configuration data
Connected application data

Customer Data remains the property of the customer.

Enterprise Knowledge

Documents, policies, procedures, manuals, contracts, knowledge articles, presentations, spreadsheets, websites, wikis, FAQs, and other information uploaded or synchronized into SynIntel for enterprise search and AI-assisted retrieval.

AI Processing

The automated processing of prompts, enterprise knowledge, connected data sources, and contextual information by one or more Artificial Intelligence models to generate responses, summaries, dashboards, insights, recommendations, or other requested outputs.

AI Models

Large Language Models (LLMs), Machine Learning models, embedding models, reranking models, reasoning models, and other AI technologies configured within SynIntel.

Supported models may include cloud-hosted, private, or customer-managed models.

Tenant

A logically isolated customer environment within SynIntel that contains its own users, configurations, permissions, AI settings, knowledge repositories, dashboards, insights, and business data.

Platform Administrator

Authorized SynIntel personnel responsible for platform operations, maintenance, support, monitoring, and administration.

Platform administrators do not access customer information unless authorized by the customer or required to deliver contracted services.

Tenant Administrator

A customer-designated administrator responsible for configuring users, permissions, authentication, AI settings, integrations, and other tenant-specific configurations.

End User

Any authorized individual accessing SynIntel on behalf of a customer organization.

Knowledge Repository

Any repository connected to SynIntel that contains enterprise information, including SharePoint, Confluence, Notion, Google Drive, file systems, websites, APIs, databases, and document management systems.

Processing

Any operation performed on information including collection, recording, organization, storage, indexing, retrieval, querying, analysis, generation, sharing, deletion, or destruction.

Services

All products, features, applications, APIs, AI services, integrations, support services, and related offerings provided under the SynIntel platform.

3. Data We Collect

SynIntel collects only the information necessary to provide, secure, improve, and support the Services requested by our customers. The type and amount of information collected depends on how the Services are configured, deployed, and used.

We classify collected information into the following categories.

3.1 Account & Registration Information

When users create or access a SynIntel account, we may collect information required to establish and manage user identities. This may include:

Full name
Business email address
Phone number
Organization name
Job title
Department
Country or region
Preferred language
Time zone
Username
Profile photo (optional)

This information is used for account creation, authentication, user management, communication, and platform administration.

3.2 Authentication Information

To protect enterprise environments, SynIntel may collect authentication-related information including:

Login timestamps
Authentication provider
SSO identifiers
Identity provider attributes
Multi-factor authentication status
Session identifiers
Password policy compliance
Device trust information

Authentication credentials are managed according to the selected authentication provider and are never stored in plain text.

3.3 Enterprise Configuration Information

Tenant administrators configure SynIntel according to organizational requirements. Configuration information may include:

Tenant settings
AI model preferences
Authentication settings
Role definitions
Security policies
Notification preferences
Branding
Regional settings
Compliance configurations
Feature enablement
Integration configurations

This information enables SynIntel to provide customer-specific platform behavior.

3.4 Customer Data

Customers may upload, synchronize, or connect business information to SynIntel. Examples include:

Enterprise databases
Business reports
Dashboards
Documents
Knowledge repositories
Policies
SOPs
Contracts
Product catalogs
Operational data
Financial data
Customer records
Metadata
Configuration data

Customer Data is processed solely to provide the Services requested by the customer.

3.5 Enterprise Knowledge

Organizations may upload or synchronize enterprise knowledge from internal repositories. Supported knowledge sources may include:

Microsoft SharePoint
Confluence
Notion
Google Drive
Local file systems
Websites
Wikis
PDF documents
Microsoft Word
Excel
PowerPoint
Emails
Images (OCR)
Audio transcripts
Video transcripts

Enterprise Knowledge enables SynIntel to provide contextual AI responses and enterprise search capabilities.

3.6 AI Interaction Data

When users interact with AI capabilities, SynIntel may process information including:

User prompts
Conversation history
AI responses
Generated insights
Generated dashboards
Suggested actions
Feedback ratings
Regenerated responses
Selected AI models
Confidence scores

This information helps deliver AI-powered functionality and improve customer experience.

3.7 Connected System Information

Customers may connect SynIntel with enterprise systems. Examples include:

ERP systems
CRM platforms
Data warehouses
Business applications
APIs
Cloud storage
SaaS applications
Ticketing systems
Collaboration platforms

SynIntel only accesses information explicitly authorized by the customer.

3.8 Technical Information

To maintain platform reliability and security, SynIntel automatically collects technical information including:

Browser type
Device type
Operating system
IP address
Language
Session information
API usage
Error logs
Performance metrics
Network information

3.9 Usage Analytics

We collect operational analytics to understand how the platform is used. Examples include:

Pages visited
Features used
Dashboards viewed
Insights generated
Search queries
AI requests
Knowledge searches
Report exports
Session duration

Usage analytics help improve product performance and usability.

3.10 Support Information

When customers contact SynIntel Support, we may collect:

Support tickets
Email communications
Diagnostic logs
Screenshots
Error messages
Configuration information
Troubleshooting data

Support information is used solely to resolve customer issues.

4. Purpose of Data Usage

SynIntel processes information only for legitimate business purposes necessary to deliver, secure, govern, and improve the Services. We do not process Customer Data for purposes inconsistent with this Privacy Policy or applicable contractual agreements. Information may be processed for the following purposes.

4.1 Service Delivery

To provide the capabilities requested by customers, including:

AI Assistants
Dashboards
Insights
Enterprise Search
Knowledge Retrieval
Analytics
Decision Intelligence
Reporting
Workflow Automation

4.2 Authentication & Identity Management

To:

Authenticate users
Manage sessions
Verify identities
Prevent unauthorized access
Enforce security policies

4.3 AI Processing

To generate:

AI responses
Summaries
Business insights
Dashboard recommendations
Root cause analysis
Trend analysis
Suggested actions
Business narratives

AI processing occurs only using customer-authorized data sources.

4.4 Enterprise Search & Knowledge Retrieval

To locate and retrieve relevant enterprise knowledge across connected repositories while respecting customer-defined access permissions.

4.5 Platform Security

To:

Detect fraud
Detect suspicious activity
Prevent unauthorized access
Monitor platform health
Investigate incidents
Protect customer environments

4.6 Customer Support

To provide:

Technical assistance
Implementation guidance
Troubleshooting
Service restoration
Product recommendations

4.7 Product Improvement

To improve:

Platform usability
AI quality
Search relevance
Performance
Reliability
User experience

Where possible, analytics are aggregated or anonymized.

4.8 Compliance

To comply with:

Applicable laws
Regulatory obligations
Court orders
Lawful governmental requests
Contractual obligations

4.9 Billing & Subscription Management

To:

Process subscriptions
Manage invoices
Calculate usage
Monitor AI consumption
Enforce licensing

4.10 Communications

To communicate:

Product updates
Maintenance notifications
Security advisories
Service announcements
Renewal notices
Customer support responses

Marketing communications are sent only where permitted by applicable law and customer preferences.

5. Customer Data Ownership

One of SynIntel's core principles is that customer data belongs to the customer. SynIntel does not acquire ownership rights over Customer Data simply because it is processed through the platform.

5.1 Ownership

Customers retain full ownership of:

Enterprise data
Documents
Knowledge repositories
Dashboards
Reports
Insights
AI prompts
AI conversations
Generated content
Configuration
Metadata

5.2 Processor Role

Unless otherwise agreed in writing, SynIntel acts as a data processor or service provider, processing Customer Data solely on documented customer instructions. Customers remain responsible for determining:

What information is uploaded
Which users have access
Which AI models are enabled
Data retention settings
Compliance configurations

5.3 No AI Model Training

SynIntel does not use Customer Data, prompts, enterprise knowledge, dashboards, reports, or AI conversations to train public or shared AI models without explicit customer authorization. Where third-party AI providers are used, processing is governed by the selected provider's enterprise offerings and customer configuration.

5.4 Customer Control

Customers maintain control over:

Connected systems
Knowledge repositories
User permissions
Data retention
Regional deployment
Export
Deletion

5.5 Data Portability

Customers may export their information in supported formats, subject to technical capabilities and contractual terms.

6. AI Processing & Enterprise Intelligence

SynIntel uses Artificial Intelligence to help organizations transform enterprise data, knowledge, and business context into trusted, explainable, and decision-ready intelligence. Unlike traditional AI chat applications, SynIntel processes enterprise information within customer-configured governance and security boundaries.

6.1 AI Services

AI capabilities may include:

Enterprise AI Assistant
Contextual Search
Dashboard Generation
Insight Generation
Report Summarization
Root Cause Analysis
Trend Identification
Business Recommendations
Enterprise Search
Decision Intelligence

6.2 Enterprise Context

AI responses may incorporate:

Structured enterprise data
Business rules
Enterprise knowledge
Organizational terminology
Customer-defined context
User permissions
Historical conversations

This enables responses tailored to the customer's business environment rather than generic AI outputs.

6.3 Retrieval-Augmented Generation (RAG)

Where enabled, SynIntel may retrieve relevant information from authorized enterprise knowledge sources before generating AI responses. This approach helps improve response relevance while respecting customer-defined access controls.

6.4 AI Processing Boundaries

SynIntel processes only information that customers explicitly configure or authorize. The platform does not independently access systems, repositories, or data sources outside the permissions granted by the customer.

6.5 Human Oversight

AI-generated outputs are intended to assist users in making informed decisions. Customers remain responsible for reviewing and validating AI-generated content before relying on it for legal, financial, medical, regulatory, or other high-impact decisions.

AI Model Providers & LLM Usage

SynIntel is designed to support multiple Artificial Intelligence (AI) providers and deployment models, enabling customers to choose AI technologies that best meet their business, security, regulatory, and operational requirements. Unlike platforms that rely on a single AI provider, SynIntel provides a flexible AI architecture that allows organizations to configure, manage, and govern AI models according to their enterprise policies.

8.1 Supported AI Models

Depending on the customer's subscription, deployment model, and configuration, SynIntel may support integration with one or more AI providers, including:

OpenAI
Microsoft Azure OpenAI
Anthropic Claude
Google Gemini
Amazon Bedrock
Meta Llama
Mistral AI
Ollama
Customer-hosted Large Language Models (LLMs)
Other supported enterprise AI providers

Availability of specific AI models may vary based on customer subscription, deployment architecture, geographic region, and licensing agreements.

8.2 Customer Control Over AI Models

SynIntel.AI maintain control over AI model configuration within their SynIntel environment. Subject to platform capabilities, synintel may configure:

Default AI model
Department-specific AI models
AI model routing
Model failover
AI provider preferences
AI model version
AI temperature settings
Token limits
Response length
AI reasoning options
Enterprise prompt templates

These configurations allow organizations to align AI behavior with their governance, compliance, and operational requirements.

7.3 AI Processing

When a user submits a request, SynIntel may process:

User prompts
Conversation history (where enabled)
Enterprise knowledge
Connected business data
Metadata
Business context
User permissions

This information is processed solely for generating the requested output, such as answers, summaries, insights, dashboards, recommendations, or other platform functionality.

7.4 Customer Data and AI Training

SynIntel does not use Customer Data to train public or shared AI models unless:

The customer has explicitly enabled such functionality; or

The customer has entered into a separate written agreement authorizing such use.

Customer Data includes, but is not limited to:

Enterprise documents
Databases
Knowledge repositories
Dashboards
Reports
AI prompts
AI conversations
AI-generated content
Business metadata

Where third-party AI providers are used, data processing is subject to the customer's configuration, contractual arrangements, and the applicable enterprise service terms of the selected provider.

7.5 AI Model Selection

Customers are responsible for selecting AI models that are appropriate for their intended business use cases, regulatory obligations, and risk profile.

Certain AI providers may process information in different geographic regions or under different contractual terms. Customers should review the documentation and contractual commitments associated with the AI providers they choose to enable.

7.6 AI Limitations

Artificial Intelligence technologies may generate responses that are incomplete, inaccurate, outdated, or otherwise unsuitable for a particular purpose.

Accordingly:

AI-generated content should be reviewed before use.

AI responses should not be considered legal, financial, medical, tax, or regulatory advice.

Customers remain responsible for validating AI-generated outputs before making business decisions or taking operational actions.

8. AI Model Availability

The availability of AI providers and models may change over time due to technological advancements, vendor updates, licensing changes, service availability, or customer subscription plans.

SynIntel may introduce, update, or retire AI integrations as part of normal product evolution.

9. Knowledge Repository Processing

One of SynIntel's core capabilities is enabling organizations to securely access enterprise knowledge through Artificial Intelligence.

Customers may connect or upload enterprise knowledge repositories so that authorized users can discover information, generate insights, and receive context-aware responses.

9.1 Supported Knowledge Sources

Depending on the deployment and configuration, SynIntel may integrate with various enterprise knowledge sources, including:

Microsoft SharePoint
Confluence
Notion
Google Drive
OneDrive
Local file systems
Websites
Wikis
PDF documents
Microsoft Office documents
Image repositories
Email archives
File shares
APIs
Other supported enterprise repositories

9.2 Knowledge Processing

To enable enterprise search and AI-assisted retrieval, SynIntel may perform processing activities such as:

Document ingestion
Text extraction
Optical Character Recognition (OCR)
Metadata extraction
Language detection
Classification
Chunking
Vector embedding generation
Index creation
Search optimization

These processing activities are performed solely to provide the Services requested by the customer.

9.3 Access Control

Knowledge retrieval respects the permissions configured by the customer.

Users may only access information that they are authorized to view based on:

Role
Department
Group membership
Tenant policies
Connected system permissions
Customer-defined access controls

SynIntel is designed to prevent unauthorized retrieval of enterprise information.

9.4 Synchronization

Where configured by the customer, SynIntel may periodically synchronize connected repositories to ensure that enterprise knowledge remains current.

Customers control:

Synchronization frequency
Connected repositories
Synchronization scope
Scheduling
Repository credentials

9.5 Knowledge Retention

Customers remain responsible for determining:

Which repositories are connected
Which documents are synchronized
Retention periods
Deletion policies
Archive policies

When customer content is removed from connected repositories, SynIntel may update or remove associated indexes according to customer configuration and system processing schedules.

10. Data Integrations & Connected Systems

SynIntel enables customers to connect enterprise systems to support AI-assisted analysis, dashboards, insights, and enterprise search.

Integrations are established only with customer authorization and are subject to the permissions granted by the customer.

10.1 Supported Integrations

Depending on the deployment, SynIntel may integrate with:

Databases

Microsoft SQL Server
PostgreSQL
Oracle
MySQL
MariaDB
Snowflake
BigQuery
Amazon Redshift
Databricks
MongoDB
Azure Cosmos DB
DynamoDB
Other supported databases

Enterprise Applications

SAP
Salesforce
Microsoft Dynamics
ServiceNow
Workday
Jira
Zendesk
HubSpot
Other supported applications

Cloud Storage

Amazon S3
Azure Blob Storage
Google Cloud Storage
OneDrive
SharePoint

10.2 Customer Authorization

SynIntel accesses connected systems only after the customer has:

Configured the integration
Provided appropriate credentials
Granted necessary permissions

Customers remain responsible for ensuring that connected systems are configured in accordance with their internal security and compliance policies.

10.3 Read-Only Access

Where supported, SynIntel is designed to use read-only access for analytical workloads to reduce operational risk and help protect customer systems. Customers may configure additional restrictions and permissions based on their deployment requirements.

10.4 API Usage

Customers may access SynIntel functionality through APIs. API usage may be subject to:

Authentication
Rate limiting
Usage monitoring
Logging
Security policies
Subscription limits

10.5 Integration Security

Integration credentials are handled using secure configuration mechanisms supported by the platform.

Customers are responsible for managing credentials, rotating secrets, and maintaining appropriate security controls for integrated systems.

11. AI Governance & Guardrails

Responsible AI is a foundational principle of SynIntel.

SynIntel provides configurable governance capabilities that help organizations operate AI safely, transparently, and in accordance with enterprise policies.

Governance capabilities may vary depending on deployment model, subscription, and customer configuration.

11.1 Prompt Validation

SynIntel may validate user prompts before processing to detect malformed requests, policy violations, or potentially unsafe instructions.

11.2 Prompt Injection Protection

The platform may implement mechanisms designed to detect attempts to manipulate AI instructions, bypass system controls, or access unauthorized information.

11.3 SQL/MQL Validation

Where AI generates SQL or MQL queries, SynIntel may validate generated queries against configurable security and governance rules before execution.

11.4 Read-Only Query Enforcement

SynIntel restricts AI-generated queries to read-only operations, helping prevent unauthorized modifications to enterprise data.

11.5 Output Validation

AI-generated responses may be evaluated against configured policies before being presented to users.

Validation may include:

Formatting checks
Policy compliance
Business rule verification
Sensitive information review

11.6 Sensitive Data Protection

SynIntel may support capabilities to identify and help protect sensitive information, including:

Personally Identifiable Information (PII)
Protected Health Information (PHI)
Payment Card Information (PCI)
Confidential business information
Customer-defined sensitive data classifications

11.7 Role-Based AI Access

Customers may configure AI capabilities based on user roles and permissions.

Examples include access to:

AI Assistants
Insights
Dashboard generation
Knowledge repositories
Administrative functions

11.8 Explainability

Where supported, SynIntel may provide information about AI-generated outputs.

including:

Source references
Supporting evidence
Executed queries
Confidence indicators
Reasoning metadata

This helps users better understand and evaluate AI-generated responses.

11.9 Audit Logging

SynIntel may maintain audit logs of AI interactions to support governance, troubleshooting, compliance, and security investigations.

Audit records may include prompts, model usage, timestamps, executed queries, and administrative actions, subject to customer configuration and applicable law.

12. Security & Technical Safeguards

SynIntel is designed using a Security by Design approach that incorporates technical, administrative, and organizational safeguards intended to protect customer information throughout its lifecycle.

While no system can guarantee absolute security, SynIntel is designed to implement appropriate measures based on industry-recognized security practices.

Security capabilities may include:

Encryption in transit (TLS)
Encryption at rest
Role-Based Access Control (RBAC)
Multi-Factor Authentication (MFA)
Single Sign-On (SSO)
Secure API authentication
Least-privilege access
Audit logging
Security monitoring
Vulnerability management
Secrets management
Backup and recovery
Network security controls
Infrastructure monitoring
Security incident response procedures

Customers remain responsible for configuring and operating the platform in accordance with their own security, compliance, and governance requirements.

13. Multi-Tenant Security

SynIntel is designed to support secure multi-tenant deployments while maintaining logical isolation between customer environments.

Each tenant operates within its own logical boundary, ensuring that customer configurations, users, permissions, AI settings, dashboards, insights, knowledge repositories, and business data remain isolated from other tenants.

Depending on the deployment model, customers may also choose dedicated infrastructure, private cloud, virtual private cloud (VPC), or customer-managed deployments to meet specific security or regulatory requirements.

13.1 Tenant Isolation

SynIntel is designed to maintain logical separation between tenants through configurable security controls.

Isolation may include:

Tenant-specific authentication
Dedicated tenant configurations
Tenant-specific encryption keys (where supported)
Separate AI configurations
Independent role definitions
Segregated audit logs
Independent storage allocations

13.2 Access Control

Users may access only the information that they are authorized to view based on:

Organization
Tenant
Department
Role
Group membership
Customer-defined permissions

Tenant administrators are responsible for configuring user access in accordance with their organization's security policies.

13.3 Customer Configuration

Customers remain responsible for configuring:

Authentication
User permissions
Knowledge access
AI permissions
Network restrictions
Data retention
Compliance settings

Improper configuration by customers may affect platform security and compliance.

14. AI Audit & Traceability

SynIntel is designed to provide enterprise-grade traceability to help organizations understand, monitor, investigate, and govern AI-assisted activities.

Where enabled, audit information may be retained for operational, compliance, and security purposes.

14.1 AI Activity Logging

Audit logs may include:

User identity
Tenant
Session information
Prompt submitted
AI model used
Connected data sources
Knowledge repositories referenced
Generated SQL/MQL
Retrieved documents
AI responses
Timestamps
Execution duration

14.2 Administrative Activities

Administrative actions may also be recorded, including:

Configuration changes
User management
Permission updates
AI policy modifications
Connector configuration
Authentication changes
Security settings
Knowledge synchronization events

14.3 Audit Usage

Audit information may be used to:

Investigate incidents
Troubleshoot issues
Monitor platform health
Support regulatory audits
Validate AI behavior
Improve platform reliability

14.4 Customer Access

Depending on subscription and deployment, customers may access audit logs through the SynIntel Administration Portal or export audit records for use with enterprise SIEM and compliance systems.

15. Data Sharing & Sub processors

SynIntel does not sell Customer Data or Personal Data. Information may be shared only when necessary to provide the Services or when required by law.

15.1 Authorized Service Providers

SynIntel may engage trusted third-party providers to support services including:

Cloud infrastructure
Identity management
Payment processing
Email delivery
Customer support
Monitoring
Security
AI providers
Analytics

These providers are contractually required to protect customer information and process data only on documented instructions.

15.2 Legal Requirements

Information may be disclosed where required to:

Comply with applicable law
Respond to lawful governmental requests
Protect the rights or safety of customers, users, or SynIntel
Prevent fraud or security incidents

15.3 Business Transfers

If SynIntel undergoes a merger, acquisition, corporate restructuring, or sale of assets, customer information may be transferred as part of that transaction, subject to applicable legal requirements.

16. International Data Transfers

SynIntel may process information in Indian jurisdictions. Where information is transferred across borders, SynIntel implements appropriate contractual, technical, and organizational safeguards consistent with applicable privacy laws.

Customers may select deployment regions or customer-managed environments where supported.

17. Data Retention & Secure Deletion

SynIntel retains information only for as long as necessary to provide the Services, satisfy contractual obligations, comply with legal requirements, and support customer-configured retention policies.

Retention periods may vary based on:

Customer configuration
Subscription
Deployment model
Applicable law
Contractual requirements

17.1 Secure Deletion

Upon expiration of retention periods or termination of Services, SynIntel may securely delete or anonymize customer information in accordance with contractual commitments, legal obligations, and applicable data destruction procedures.

Backup copies may remain for a limited period where required for disaster recovery or legal compliance.

18. Compliance & Regulatory Support

SynIntel is designed to support enterprise compliance programs through configurable security, governance, audit, and privacy capabilities.

Support for specific regulatory frameworks depends on customer deployment, configuration, contractual agreements, and operational practices.

18.1 Supported Compliance Programs

Depending on deployment and implementation, SynIntel may support customer compliance initiatives related to:

GDPR
UK GDPR
CCPA / CPRA
HIPAA
PCI DSS
ISO/IEC 27001
SOC 2
NIST Cybersecurity Framework
India Digital Personal Data Protection Act (DPDP)
Industry-specific regulatory requirements

18.2 Shared Responsibility

Compliance is a shared responsibility. SynIntel provides platform capabilities that support compliance; however, customers remain responsible for:

Configuring security controls
Managing user access
Classifying data
Selecting AI models
Meeting industry-specific obligations
Operating the platform in accordance with applicable laws

19. User Rights

Where applicable under law, individuals may have rights regarding their Personal Data, including:

Access
Correction
Deletion
Restriction of processing
Objection to processing
Data portability
Withdrawal of consent (where consent is the legal basis)

Requests may be submitted using the contact information provided in this Policy.

For enterprise customers, requests may also be directed through the customer's designated administrator where appropriate.

20. Cookies & Similar Technologies

SynIntel websites and applications may use cookies and similar technologies to:

Authenticate users
Maintain sessions
Remember preferences
Improve website performance
Analyze usage
Enhance security

Depending on applicable law, users may manage cookie preferences through browser settings or available consent mechanisms.

21. Customer Responsibilities

Customers play an important role in maintaining privacy and security.

Customers are responsible for:

Managing user accounts
Assigning appropriate permissions
Protecting credentials
Reviewing AI-generated outputs
Configuring retention policies
Securing connected systems
Maintaining regulatory compliance
Classifying sensitive information
Selecting appropriate AI models
Monitoring authorized usage

Customers should ensure that only authorized users have access to Customer Data and that integrations are configured securely.

22. Responsible AI Principles

SynIntel is committed to developing and operating AI capabilities responsibly. Our approach is guided by the following principles:

Transparency

Provide meaningful information about how AI capabilities operate and how responses are generated.

Explainability

Where supported, provide references, reasoning, and supporting evidence to improve trust in AI-generated outputs.

Privacy by Design

Protect customer information through privacy-focused architecture and configurable controls.

Security by Design

Incorporate security throughout the software development lifecycle and platform operations.

Human Oversight

AI is designed to assist human decision-making rather than replace professional judgment.

Accountability

Maintain governance, auditability, and traceability for AI-assisted activities.

Continuous Improvement

Continuously evaluate and improve platform quality, security, reliability, and AI performance.

23. Children's Privacy

SynIntel is designed for business and enterprise use and is not intended for children under the age required by applicable law.

We do not knowingly collect Personal Data directly from children through the Services.

If we become aware that such information has been collected without appropriate authorization, we will take reasonable steps to delete it in accordance with applicable law.

24. Changes to This Privacy Policy

Technology, laws, and our Services evolve over time.

Accordingly, SynIntel may update this Privacy Policy periodically to reflect:

New platform capabilities
Changes in applicable laws
Security enhancements
New AI services
Operational improvements
Customer feedback

Material changes will be communicated through the Services, our website, or other appropriate communication channels.

The “Last Updated” date at the beginning of this Policy indicates when the most recent revisions became effective.

Continued use of the Services after the effective date of an updated Privacy Policy constitutes acceptance of the revised Policy, except where applicable law requires additional notice or consent.

25. Contact Information

If you have questions about this Privacy Policy, privacy practices, data protection, security, or your rights, please contact us using the details below.

SynIntel Privacy Team

SynGrow Consulting Services Pvt. Ltd.

Email: contact@syngrowconsulting.com

Website: https://synintel.ai/

For enterprise customers, privacy and data protection requests may also be submitted through your designated Customer Success Manager, Account Manager, or contractual support channel.

Final Statement

At SynIntel, privacy, security, governance, and responsible AI are fundamental principles that shape how our platform is designed, developed, and operated.

Our goal is to empower organizations with trusted enterprise intelligence while ensuring that customer information remains secure, protected, explainable, and under the customer's control.

By combining enterprise-grade security, configurable governance, transparent AI, and customer ownership of data, SynIntel enables organizations to confidently adopt AI while maintaining the privacy, compliance, and trust expected in modern enterprise environments.

This Privacy Policy was last reviewed and updated on 6th July, 2026.