Customer data in your own environment
Private customer data platform (CDP) you deploy and own
PrivyCDP is a customer data platform (CDP) you run in your own cloud or datacenter. Keep control of where customer data lives, who can use it and how it moves. Start with the guides, then review the design with your team.
Inside your datacenter or cloud account
1. Collect events
Bring data from your approved sources.
2. Connect records
Resolve identities and apply consent rules.
3. Run approved workflows
Send permitted actions to your tools.
Conceptual flow. Confirm connectors, access and audit evidence for your selected release.
Section 02 · Why Now
Why Enterprises Are Moving Beyond SaaS Marketing Stacks
Review five common reasons teams consider running customer data systems in their own environment.
Compliance pressure is increasing
Privacy, security and AI rules affect where teams store and use customer data. Map the rules that apply to your workflow.
AI governance requires explainable decisioning
Your team needs to explain and review decisions made with customer data. Record the inputs, rules and approvals.
Usage-based SaaS pricing creates unpredictable TCO
Fees can grow with profiles, events and channels. Model your expected use and test how costs change at peak load.
Customer data is fragmented across too many tools
Customer records, events and consent often live in separate tools. Map how data moves and who can use it.
Regulated organizations need infrastructure they can own
Some regulated teams need to keep customer data in their own systems. Assess hosting and access before choosing a shared service.
Section 03 · The Shift
From Fragmented SaaS Stack to Owned Customer Infrastructure
Compare shared services with software your team runs. Assess data flows, access, running costs and the work your team would own.
- CDP silos
- ESP
- Analytics tools
- CRM fragmentation
- Disconnected workflows
- Usage-based billing
- External dependency
- Unified first-party data
- Private AI operations layer
- Controlled customer decisions
- Enterprise-owned infrastructure
- Open APIs and webhooks
- Predictable economics
- Deployment control
Section 04 · Core Capabilities
Four Core Capabilities of the Infrastructure
Connect customer records, apply rules and run approved workflows in your own environment. Test each capability against the release you plan to use.
Unify First-Party Data
Connect records and events from your own systems. Match customer identities and check how consent follows each record.
Segment and Decide in Real Time
Use incoming events to update groups and apply decision rules. Test timing with your own workload and review the audit records.
Orchestrate Customer Journeys
Build steps that send approved actions to your tools. Confirm which APIs, webhooks and connectors your release supports.
Operate with AI Agents
Use AI to help review groups, workflows and reports. Limit access to approved data and keep human approval for consequential actions.
Section 05 · AI Operational Layer
AI for Customer Operations, Not AI Theater
Start with a specific task and approved data. Test the result and set clear limits on what an AI agent may do.
AI-Assisted Segmentation
Workflow QA
Campaign Recommendations
Anomaly Detection
Compliance Support
Reporting Summaries
Next-Action Recommendations
PrivyCDP does not promise AGI, autonomous campaign engines, or AI decision-making outside human oversight. The AI operational layer assists teams running customer operations — it does not replace customer governance, brand control, or human accountability.
Section 06 · Deployment Models
Built for Real Enterprise Deployment
Compare four hosting models for one customer. Plan cloud, hardware and operating work separately from the software licence.
On-Premise Deployment
Run the software in your own datacenter. Your team or a chosen partner operates it. Ask about the requirements for an isolated network.
Private Cloud (VPC)
Run the software in your AWS, Azure, GCP or OCI account. Check the network paths, access rules and any outbound requests.
Hybrid Deployment
Keep core records in your datacenter and selected services in your cloud account. Test data movement and timing across regions.
Sovereign / Air-Gapped
Assess a sovereign cloud or an isolated network. Agree how updates reach the system and test the rules for your workload.
Section 07 · Security & Control
Security, Ownership, and Control by Design
Review who owns access, keys and audit records. Request evidence for your chosen release and test the controls in your environment.
Customer-owned infrastructure
PrivyCDP runs inside the customer's cloud account, on-premise datacenter, or sovereign environment. No shared SaaS control plane.
No shared SaaS environment
Single-tenant by design. There is no multi-tenant control interface and no forced public endpoint exposing customer data.
Segmented architecture
Edge, core, and storage layers are independently scoped, audited, and operated under the customer's segmentation policy.
Customer-controlled data residency
Identity graph, event log, vector store, and audit ledger remain inside the residency boundary the customer defines.
"Client names are protected under strict NDA. Anonymized deployment references are available during enterprise evaluation."
Section 08 · Evaluation evidence
Evidence to Request Before Production
Six questions to verify during a bounded deployment evaluation. No customer counts, production throughput or business outcomes are established here.
Profile scale
Measure during evaluation
Event throughput
Test the actual workload
Source datasets
Inventory approved fields
Regulated workflows
Review applicable requirements
On-premise operation
Assign infrastructure owners
Private-cloud regions
Confirm deployment scope
Ask for configuration-specific evidence and permissioned references before relying on a customer or performance claim.
Section 09 · Predictable TCO
Predictable Enterprise Economics
Price the software, hosting, staff and support separately. Compare three or five years of costs using your own quotes and workload.
No profile-based billing
Pricing does not scale with the number of customer profiles, identities, or behavioral records ingested into the platform.
No hidden activation tax
Per-event, per-channel, or per-message fees are not used. Activation throughput is governed by deployed infrastructure, not metered billing.
No forced public SaaS dependency
The platform is not delivered through a shared multi-tenant cloud. Customer-owned deployment is the default operating model.
Infrastructure scoped separately
Compute, storage, networking, hardware, and managed services are scoped under separate engagements with transparent line-by-line cost.
Annual and perpetual licensing available
Procurement can select term-bound annual licensing or perpetual licensing paired with the Annual Version Extension & Update Entitlement.
Section 10 · Industries
Operating Where Customer Data Sensitivity Is Non-Negotiable
Six industry evaluation profiles. Review the data flow, access owners and applicable requirements for the workflow you intend to operate.
Financial Services
Evaluate bank-controlled access, retention, key custody and approved customer-data destinations.
Why ownership matters →Gaming & iGaming
Assess player identity, jurisdiction requirements, regional routing and responsible-gaming controls.
Why ownership matters →Healthcare
Map PHI, business associate responsibilities and safeguards across the complete care workflow.
Why ownership matters →Government-affiliated
Determine agency classification, authorization requirements and operating responsibilities for the actual service.
Why ownership matters →Legal & Professional
Review client and matter permissions, confidentiality and privilege with the firm’s responsible legal owner.
Why ownership matters →High-Load Commerce
Measure peak workloads and compare license, infrastructure and operating costs for approved commerce workflows.
Why ownership matters →Discuss your deployment with engineers.
Bring your data flow, operating owners and evaluation questions.
Further reading
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