Customer data capabilities built for trust and control
Krenalis brings together customer data, resolves fragmented identities, and creates unified profiles directly in your data warehouse. Its warehouse-native architecture gives teams control over how customer data is collected, transformed, unified, and activated — for AI applications, analytics, personalization, marketing, and customer experiences.
Self-hosted or cloud. Same architecture. Full control.
Turn fragmented customer data into a consistent customer profile
Customer records and events often live across different systems, formats, and identifiers. Krenalis brings them together into a persistent, queryable customer profile while preserving the underlying data and its history.
Persistent customer profiles
Maintain unified, queryable profiles directly in your data
warehouse.
Customer history in one place
Keep events and profile data together to understand customer
behavior over time and make that history available to
downstream applications.
Structured customer data
Create a consistent customer representation that can be used
across analytics, personalization, marketing, customer
experiences, and AI applications.
Identity-first approach
Resolve customer identities with rules you can understand and control
The same customer can appear under different identifiers across systems, devices, and channels. Krenalis connects those records using deterministic, configurable identity resolution.Identity resolution remains part of your data infrastructure rather than becoming a black box inside a separate platform. As your data and business rules evolve, you can refine your matching logic and rerun resolution while preserving the underlying history.
Deterministic matching
Use identifiers such as email, customer ID, and device
ID together with configurable matching rules.
Business-specific identity logic
Adapt identity resolution to your customer model instead of
working around a fixed identity schema.
Reversible resolution
Rerun identity resolution as your data or matching rules
change without losing the underlying customer history.
Identity graph in your warehouse
Keep the relationships between identities available and
queryable alongside your customer data.
Unify and resolve customer data without moving it into another platform
Customer data is spread across web, mobile, CRM, legacy systems, offline interactions, and third-party platforms. Krenalis connects the identities, records, and events that belong to the same customer, creating a consistent and explainable profile across your data.Identity resolution is not a one-time cleanup process. As your data changes and your understanding of the customer evolves, you can refine your matching logic and rerun identity resolution while preserving the underlying history and source data.
A consistent customer profile is what makes customer data trustworthy and gives Customer AI a context it can rely on.
Zero data movement
Use customer data directly where it already lives, without
creating another copy for Krenalis.
No third-party customer data repository
Keep your customer data in your own warehouse rather than
moving it into a proprietary CDP environment.
Existing governance and controls
Apply the security, access, and governance mechanisms
already used across your data infrastructure.
No data lock-in
Your customer data remains accessible and queryable in your
own environment.
Data Ingestion
Bring customer data and events into the same customer foundation
Krenalis supports both batch and event-driven workflows, allowing customer records and behavioral events to become part of the same data architecture.
Batch ingestion
Bring customer records from databases, files,
and business systems into your customer data
environment.
Event ingestion
Collect customer interactions and behavioral
events in real time.
Source and destination connectors
Connect Krenalis to the systems already used
across your customer data stack.
Custom integrations
Extend Krenalis when your architecture requires
a connector that is not available out of the
box.
Shape customer data around your business
Customer data rarely arrives in exactly the form your organization needs. Krenalis provides multiple ways to transform and enrich data before it becomes part of your unified customer profile.
Visual Mapping
Map and transform customer fields through a
visual interface for straightforward data
workflows.
JavaScript
Use code-based transformations when you need
conditional logic and greater control.
Python
Apply Python-based processing for more advanced
transformations, enrichment, or existing team
workflows.
Flexible data models
Adapt data processing to your business
requirements instead of forcing customer data
into a rigid predefined model.
Put unified customer data to work
Use your customer data across the applications that matter
Once customer identities and profiles are unified, Krenalis
makes that data available to the systems and applications
that need it.
Because the underlying customer data remains in your warehouse, you can query, model, enrich, and use it across different workflows without creating a separate customer data silo for every use case.
One customer profile. Multiple use cases.
Because the underlying customer data remains in your warehouse, you can query, model, enrich, and use it across different workflows without creating a separate customer data silo for every use case.
One customer profile. Multiple use cases.
Analytics
Use unified customer data for reporting, analysis,
segmentation, and customer intelligence.
Personalization
Build experiences around a consistent understanding of
customer identity and behavior.
Marketing
Activate unified customer profiles across campaigns,
audiences, and downstream marketing systems.
Customer experience
Give customer-facing teams and applications a more
complete view of the customer.
AI applications
Give Customer AI applications access to consistent
customer identity, history, and business context.
Give Customer AI a customer context it can rely on
AI applications need more than access to customer data. They need a consistent understanding of who the customer is, what has happened across their interactions, and which information can be used for a given purpose.Krenalis provides the identity resolution, unified profiles, history, and data controls that allow Customer AI applications to work with a consistent customer context while keeping the underlying data in your existing infrastructure.
Why Customer AI has an identity problem ->
AI-ready customer profiles
Provide AI applications with unified customer identity and
history rather than fragmented records.
Reliable customer context
Give AI access to structured, queryable customer data from
your existing warehouse.
Your data, your controls
Keep customer data and governance within your existing
infrastructure.
Customer data you can build on
Krenalis gives your team the infrastructure to collect, connect, resolve, transform, and activate customer data without giving up control of where that data lives.
Self-hosted or Cloud. Same architecture. Full control.