#1 Enterprise AI Enablement Platform

Strategic Data Control LayerTM for AI

Privacy Governance + AI Governance + Consent

Unify privacy governance, AI governance, and consent management in one enterprise control layer — And safely collect, govern, utilize, and prove compliant use of data across every system, channel, and AI workflow.

Trusted Backbone for the Fortune 500.   Proven at Massive Scale.

1T+
Trillion+ consent and privacy-related requests processed
Billions
of consent records retained in permanent Audit Trail
Acclaimed
Named Major Player in IDC MarketScape report
235%
ROI shown in Forrester study
7+
Years of enterprise customer retention. TRUSTED.
Fast
Implementation in weeks, not years
Architecture

The Control Layer Architecture

How Clarip sits between your data sources and the systems that activate them — governing purpose, permission, policy, risk, workflow, and audit evidence.

Cloud Services Cloud Databases On-Prem SaaS Apps Vendor APIs
aws
azure
googlecloud
snowflake
databricks
bigquery
sap
salesforce
hubspot
slack
jira
mongodb
oracle
servicenow
braze
adobe
openai
Business Activity Layer
Websites, apps, service systems, vendors, internal business systems
Customers Employees Visitors
Clarip Strategic Data Control Layer
Purpose, permission, policy, risk, data flows, audit evidence,
AI readiness, LLM Firewall
PrivacyAI GovernanceConsent
Enterprise Data Layer
CRM, CDP, marketing, data warehouse, AI models, vendors
Store Secure Connect Activate
The new enterprise data reality

Privacy, consent, and AI governance are now one strategic problem.

Enterprise data now moves across websites, apps, CRMs, CDPs, data warehouses, marketing platforms, service systems, vendors, and AI models. Most organizations still manage these requirements through disconnected systems, manual workflows, and fragmented records.

01 — Consent
Consent riskCan you prove what each person consented to, when, where, and for what purpose?
02 — AI
AI data-use riskCan you govern whether personal or sensitive data is being used appropriately in AI systems?
03 — Operations
Privacy operations riskCan you fulfill requests, assessments, notices, and obligations consistently across the enterprise?
04 — Audit
Audit riskCan you show regulators, customers, and internal stakeholders that governance is operationalized?
Clarip solves this with a unified Strategic Data Control Layer.

Across privacy, consent, and AI governance — shifting privacy from reactive compliance to governed data activation.

See How It Works
The Clarip Platform

One platform. Three enterprise control planes.

Clarip brings together the capabilities enterprises need to govern responsible data use: privacy governance, consent management, and AI governance.

Control Plane 01

Privacy Governance

Operationalize global privacy requirements with configurable workflows, assessments, data maps, request handling, policy management, and audit-ready reporting.

  • Privacy request management
  • Data subject rights workflows
  • Data inventory and mapping
  • Privacy impact assessments
  • Vendor and third-party workflows
  • Policy and notice management
One system for privacy, legal, compliance, and business teams across global obligations.
Control Plane 02

Consent Management

Capture, store, govern, and enforce consent across enterprise channels and systems at massive scale.

  • Web and mobile consent capture
  • Preference center management
  • Consent record storage
  • Consent history and auditability
  • Cross-channel orchestration
  • CRM, marketing, and data integrations
Make consent operational, provable, and available wherever the business needs decisions.
Control Plane 03

AI Governance

Govern how personal, sensitive, and regulated data is used in AI systems, models, copilots, and automated decisioning workflows.

  • AI system inventory
  • AI data-use governance
  • AI risk assessments
  • Consent-aware AI controls
  • Policy mapping for AI use cases
  • Documentation and audit trails
Know which AI systems exist, what data they use, and what controls are in place.
Why the control layer matters

The connective tissue between data, consent, privacy, and AI.

Clarip is not just another compliance workflow tool. It is an enterprise control layer that helps organizations answer the questions that determine whether data can be used responsibly.

Can we use this data? Understand whether use is permitted based on policies, regulations, consent, and context.
Do we have consent? Centralize consent records and make them available across enterprise systems.
For what purpose?Connect consent to purpose, channel, jurisdiction, and downstream use.
Where does it live?Map personal and sensitive data across applications, vendors, and environments.
Which AI uses rely on it?Identify where personal or regulated data may be used in AI workflows.
What obligations apply?Operationalize regulatory, contractual, and internal governance requirements.
Can we prove compliance?Maintain audit trails, histories, workflows, evidence, and documentation.
Can the business move?Enable responsible data activation across marketing, analytics, operations, and AI.
Enterprise Value

Govern data use without slowing the business down.

Modern enterprises need more than privacy compliance. They need a way to safely use data in a world of increasing regulation, customer expectations, and AI adoption.

Reduce regulatory and operational risk

Create consistent workflows, records, and evidence across privacy, consent, and AI governance.

Accelerate privacy operations

Automate manual processes and centralize request handling, assessments, reporting, and governance.

Enable responsible AI adoption

Document AI systems, assess risks, govern data use, and support emerging governance requirements.

Activate data with confidence

Help business teams understand when and how data can be used for personalization, analytics, marketing, and AI.

Strengthen customer trust

Honor preferences, respect consent, and demonstrate responsible data stewardship.

Improve audit readiness

Maintain the evidence needed for regulators, customers, auditors, and internal stakeholders.

AI Governance

Govern AI data use before it becomes enterprise risk.

Enterprises need to know which AI systems exist, what data they use, which risks they create, and whether personal or sensitive data is being used appropriately.

Explore AI Governance
AI system inventoryCentralized view of AI systems, tools, models, and use cases.
AI risk assessmentsEvaluate privacy, compliance, data-use, operational, and business risks.
Consent-aware controlsConnect AI use cases to consent, preferences, and purpose limitations.
Governance workflowsCoordinate reviews and approvals across privacy, legal, and security.
Audit-ready docsMaintain evidence of AI governance decisions, risks, and approvals.
Policy mappingMap AI usage to policies, regulations, and responsible data-use standards.
Consent Management

Make consent an enterprise data asset.

Consent is no longer a banner, checkbox, or legal record buried in a single system. Clarip helps organizations capture, store, manage, synchronize, and prove consent at enterprise scale.

Explore Consent Management
Web and mobile captureCollect consent and preferences across digital channels.
Preference centersLet users manage choices across brands, regions, and purposes.
Consent record storageMaintain historical evidence of consent and preference changes.
Enterprise syncConnect consent to CRM, marketing, analytics, and data platforms.
Purpose-based governanceTie consent to specific purposes, channels, and downstream uses.
Billions of recordsBuilt for high-scale enterprise consent environments.
Privacy Governance

Run privacy as an enterprise operating system.

Clarip helps privacy teams move from manual program management to scalable privacy operations across requests, regulations, systems, and business teams.

Explore Privacy Governance
Privacy rights automationManage access, deletion, correction, opt-out, and other rights requests.
Global workflowsConfigure privacy operations for jurisdictions, brands, and business units.
Data mappingUnderstand where personal and sensitive data lives and flows.
Privacy assessmentsAssess initiatives, systems, vendors, and processing activities.
Vendor reviewsManage third-party data risk and governance obligations.
Audit trailsPreserve evidence of decisions, actions, approvals, and reporting.
Enterprise Use Cases

Govern the moments where data risk and business value intersect.

Consent & Preference Management

Capture, store, manage, and synchronize consent and preferences across websites, apps, brands, regions, and systems.

Privacy Rights Automation

Manage access, deletion, correction, opt-out, and other privacy rights requests through configurable workflows and audit trails.

AI Governance & Risk Assessment

Create inventories, assessments, approvals, and documentation for AI systems and data-use cases.

Data Mapping & Governance

Understand where personal and sensitive data lives, how it flows, and which obligations apply.

Vendor & Third-Party Governance

Assess and manage third-party risk related to personal data, privacy obligations, and AI-related data use.

Regulatory Readiness

Support readiness for evolving privacy and AI governance requirements with structured processes and evidence.

How It Works

A control layer that connects policy, consent, data, and action.

Capture

Collect consent, preferences, requests, assessments, policies, inventories, and AI system information.

Govern

Apply workflows, rules, obligations, approvals, and controls across privacy, consent, and AI programs.

Connect

Integrate with websites, apps, CRMs, CDPs, marketing platforms, warehouses, ticketing, and AI workflows.

Prove

Maintain audit trails, records, reporting, and evidence for regulators, customers, partners, and stakeholders.

Activate

Enable teams to use governed data responsibly for personalization, analytics, operations, and AI.

Why Clarip

Enterprise data governance infrastructure for the AI era.

Unified control, not fragmented compliance

Clarip connects privacy governance, consent management, and AI data-use oversight in one operational platform.

Enterprise-scale consent infrastructure

Built to manage consent at massive scale, including billions of consent records.

Fast time to value

Enterprise implementation can be completed in weeks, not years.

Long-term enterprise adoption

Customers often remain customers for 6+ years, reflecting durable value and deep operational fit.

Business enablement

Help teams safely use data, support AI initiatives, personalize experiences, and maintain customer trust.

Strategic position in the data stack

Clarip sits at the intersection of privacy, consent, AI governance, data activation, and compliance.

Measurable Impact
235%+

ROI shown in Forrester TEI study

Designed to deliver enterprise value quickly, with deployment measured in weeks and durable adoption over years. Quantified ROI from this study is just from DSR automation! Up to $85M ROI for the platform!

Why Now

AI has made privacy and consent strategic again.

AI systems, personalization engines, data clean rooms, analytics platforms, and automation tools all depend on trusted data. Trusted data requires governance, permission, transparency, and evidence.

Can we use this data responsibly — and prove it?

Clarip gives organizations the control layer to answer yes.

Trusted Enterprise Foundation

Built for complex organizations with serious governance needs.

Clarip is designed for enterprises managing privacy, consent, and data governance across multiple systems, brands, jurisdictions, teams, and data environments.

Enterprise-grade scale

Support high-volume consent, request, workflow, and governance operations.

Flexible configuration

Adapt workflows, policies, assessments, and controls to your requirements.

Integration-ready

Connect governance processes to the systems your business already uses.

Audit-ready by design

Maintain histories, records, decisions, approvals, and evidence across the data lifecycle.

Get Started

Ready to deploy your Strategic Data Control Layer?

See how Clarip unifies privacy governance, consent management, and AI governance into one enterprise platform for responsible data use.