On this page
- Executive Trust Summary
- Trust Principles & Control Pillars
- Policies
- Data Processing Agreements
- Shared Responsibility Model
- Enterprise AI Data Controls
- What We Send to AI Providers
- Data Minimization & PII Redaction
- US & Canadian Messaging Compliance Support
- Consent Evidence & Audit Trail
- Security Posture
- Subprocessors & Service Providers
- Security & Compliance Documentation
- DPA Requests & Compliance Questions
Executive Trust Summary
VisQuanta is built for businesses that handle customer conversations, lead records, appointment data, CRM-connected workflows, SMS outreach, and voice activity at scale.
Our trust model is based on five principles: collect only what is needed, keep customer data inside controlled workflows, minimize what is sent to AI providers, maintain clear consent and opt-out controls, and provide audit visibility for messaging, voice, and CRM activity.
We support customers with documented controls across AI data handling, SMS compliance, data minimization, access control, subprocessor review, and security documentation. Customers remain responsible for their own campaign configuration, consent sources, message content, legal review, and customer relationship decisions.
Trust Principles & Control Pillars
Data Minimization
We design workflows to collect and process only the information needed to deliver the configured service.
AI Data Controls
AI workflows are configured to minimize the data sent to model providers and apply enterprise controls where available.
Consent & Opt-Out Handling
Supported workflows include consent visibility, opt-out detection, suppression checks, and campaign-specific messaging controls.
CRM & Workflow Security
Customer records, workflow activity, and integrations are managed through controlled systems with role-based access and audit visibility.
Audit Readiness
We preserve operational records that help customers review consent events, opt-outs, blocked sends, redactions, and workflow activity.
Policies
Core policy documents and compliance materials for VisQuanta customers and their legal teams.
Privacy Policy
How we collect, use, and protect personal data.
Read PolicyTerms & Conditions
The terms governing use of the VisQuanta platform.
Read PolicyTCPA Compliance
Suppression, opt-out, consent, and audit controls for business-operated SMS workflows.
Read PolicyCookie Policy
How and why we use cookies on our websites.
Read PolicyData Processing Addendum
Our customer-facing DPA, available on request for enterprise clients.
Request DPAData Processing Agreements
We can support enterprise customers and vendor review teams with appropriate data-processing documentation, including a customer-facing Data Processing Addendum where required.
Where our service providers process personal data on our behalf, we require appropriate contractual protections, such as a Data Processing Addendum or equivalent data-processing terms.
Shared Responsibility Model
VisQuanta provides the platform, controls, workflow infrastructure, and audit visibility used to operate SMS, voice, CRM, and AI-assisted communication workflows.
Our customers remain responsible for deciding who they contact, why they are contacted, what consent basis applies, what campaign language is used, and whether a particular campaign is appropriate for their business, jurisdiction, and customer relationship.
VisQuanta helps support responsible operation through configurable controls such as opt-out detection, suppression checks, consent capture, quiet-hours configuration, role-based access, audit logs, AI data minimization, and workflow-level guardrails.
VisQuanta provides
- Platform, workflow infrastructure, and audit visibility
- Configurable consent, opt-out, and suppression controls
- AI data minimization and workflow-level guardrails
- Role-based access and operational audit logs
Customer remains responsible for
- Who they contact and why
- Consent basis and consent source
- Campaign language and message content
- Legal review for their jurisdiction and customer base
Enterprise AI Data Controls
VisQuanta uses enterprise-grade AI model infrastructure for supported messaging, voice, and workflow automation use cases.
For eligible enterprise AI workflows, customer content is not used to train model-provider systems by default. Where configured and supported, Zero Data Retention controls can be applied so eligible customer content is excluded from model-provider abuse monitoring logs.
AI data controls are applied based on the workflow, endpoint, model capability, feature set, and customer deployment configuration. Some files, images, tool calls, application state, third-party integrations, or non-AI systems may have separate retention behavior.
Because of this, VisQuanta designs each deployment to minimize the data sent to AI providers and to avoid sending unnecessary CRM fields, sensitive personal information, or full customer records where they are not required.
Important
ZDR and regional processing controls are workflow and endpoint dependent. They should not be described as applying automatically to every system, feature, or integration.
For SMS conversational agents, OpenAI processes conversations under a Zero Data Retention agreement. See where customer texts go and how long each system keeps them.
What We Send to AI Providers
For standard SMS campaign workflows, VisQuanta minimizes the data sent to AI model providers. The default configuration is designed to pass only the conversation context required to generate a useful response, such as the prospect's first name, the messages they provide, and limited workflow instructions required for the campaign.
We do not intentionally send full CRM records, unnecessary contact fields, payment information, government identifiers, financial account data, or sensitive personal information to AI model providers.
Lead routing, dialing, CRM storage, consent records, suppression records, customer account administration, and operational reporting occur outside the AI model layer.
Examples of data we avoid sending where not required
- Full CRM records
- Payment information
- Government identifiers
- Financial account data
- Sensitive personal information
- Internal customer notes not required for the workflow
- Unnecessary contact fields
- Full lead history where limited context is sufficient
Data Minimization & PII Redaction
For supported SMS workflows, messages pass through a redaction layer designed to detect and replace regulated personal data before downstream storage, CRM sync, or AI processing.
This redaction layer is designed to identify data types such as Social Security numbers, credit and debit card numbers, bank account numbers, routing numbers, driver's license numbers, and dates of birth. When a redaction event occurs, the platform records the type and count of the redaction for audit purposes without retaining the original regulated value.
Ordinary business conversation context, such as names, vehicle details, appointment information, prices, mileage, and general inquiry details, may be preserved where needed to keep the workflow useful for the customer.
US & Canadian Messaging Compliance Support
VisQuanta supports business-operated SMS and voice workflows across the United States and Canada.
Our platform is designed to support responsible messaging operations through consent visibility, sender identification, opt-out handling, suppression controls, quiet-hours configuration, campaign-specific disclosures, and audit records.
United States — TCPA-aware
- Consent review and capture
- Opt-out handling
- Do Not Contact suppression
- Contact cadence controls
- Call & text auditability
Canada — CASL-aware
- Evidence of consent
- Sender identification in messages
- Unsubscribe mechanisms in communications
- Suppression and opt-out logging
VisQuanta does not replace legal counsel. Customers remain responsible for confirming that their campaigns, consent sources, message content, and operating procedures meet the requirements that apply to their business.
Consent Evidence & Audit Trail
VisQuanta is designed to preserve evidence around how communication workflows were configured and operated.
Where consent is captured through supported VisQuanta forms or workflows, the platform can record the disclosure text shown to the consumer, timestamp, IP address, user agent, consented channels, linked policy URLs, and related submission metadata.
Operational audit records may include opt-out events, suppression decisions, blocked sends, redaction events, delivery status, call recording configuration, and workflow activity. These records help customers review how a campaign was configured and how platform controls were applied.
Security Posture
VisQuanta applies technical and organizational controls designed to protect customer workflows, platform access, and operational data.
Controls may include
- Encryption in transit using TLS
- Encryption at rest where supported by infrastructure providers
- Role-based access control
- Limited internal access based on operational need
- Environment-level access controls
- Audit logging for key operational events
- Secure integration handling
- Internal incident escalation procedures
- Subprocessor review for key infrastructure providers
VisQuanta does not currently claim to hold its own SOC 2 or ISO 27001 certification. We rely on vetted infrastructure and service providers with established security programs while maintaining internal policies, operational controls, and customer-facing documentation appropriate to our current stage.
Subprocessors & Service Providers
VisQuanta relies on a small set of vetted infrastructure, AI, messaging, and CRM service providers to operate the platform. The summary below describes the categories and what types of data are typically processed by each.
- Provider CategoryAI model providersPurposeGenerate AI-assisted responses and workflow outputsExample Data ProcessedLimited conversation context and workflow instructions
- Provider CategoryCloud hosting providersPurposeHost application services and infrastructureExample Data ProcessedApplication traffic, logs, and platform data
- Provider CategoryDatabase providersPurposeStore platform records and workflow dataExample Data ProcessedCustomer records, message metadata, audit records
- Provider CategoryMessaging and voice providersPurposeSend SMS, route calls, manage phone numbersExample Data ProcessedPhone numbers, message/call metadata, delivery status
- Provider CategoryCRM and integration providersPurposeSync records into customer systemsExample Data ProcessedLead records, conversation summaries, appointment data
- Provider CategoryAnalytics and monitoring providersPurposeMonitor site and platform performanceExample Data ProcessedUsage events, diagnostics, error logs
We rely on a small set of vetted sub-processors to operate our platform, process AI requests, and deliver messaging. Documentation for any specific vendor is available on request: compliance@visquanta.com. See the full subprocessor list.
Amazon Web Services (AWS)Cloud InfrastructureVendor DPA
OpenAILLM ProcessingDPA ExecutedGoogle GeminiLLM ProcessingVendor DPA
VercelHosting & DeploymentVendor DPA
SupabaseDatabase ProviderVendor DPA
StripePayment ProcessingVendor DPA
TwilioSMS & MessagingVendor DPA
TelnyxSMS & MessagingVendor DPA
Auth0Identity ManagementVendor DPA
Google WorkspaceBusiness OperationsVendor DPA
TekionDMS IntegrationCustomer-Controlled
ProMaxCRM IntegrationCustomer-Controlled
AuthenticomData IntegrationVendor DPA
n8nWorkflow AutomationSelf-HostedZapierWorkflow AutomationVendor DPA
Security & Compliance Documentation
Enterprise customers, dealership groups, and vendor review teams can request supporting documentation where appropriate.
Available materials may include
- Data Processing Addendum
- Subprocessor list
- Security controls summary
- SMS PII handling policy
- Access control policy
- Incident response overview
- AI data handling summary
- Messaging compliance controls summary
- Vendor/security questionnaire responses
Certain documents may be provided under NDA or as part of an enterprise onboarding process.
DPA Requests & Compliance Questions
For DPA requests, vendor review, security questionnaires, privacy questions, AI data handling reviews, or subprocessor documentation, contact: