2025.2 major release notes
Learn about new features and enhancements introduced in this 2025.2 release.
Reltio powers trusted data for every user, system, and decision. As a cloud-native, AI-enabled master data management (MDM) platform, Reltio unifies core data across silos to deliver a real-time, complete, and trusted view of customers, products, suppliers, and more.
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Reltio Entity Resolution applies AI and LLM-based models to match and merge records across disparate systems, creating a universal ID with high precision and speed.
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Reltio Multidomain MDM delivers scalable master data management across multiple domains, with built-in governance, survivorship, reference data management, and relationship views.
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Reltio Intelligent 360 goes beyond MDM to add segmentation, derived attributes, interaction management, and conversational data exploration via Reltio Intelligent Assistant (RIA).
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Reltio AgentFlow™ enables autonomous AI agents built on the Model Context Protocol (MCP) server, empowering secure, key data stewardship, governance automation, and conversational interaction across roles.
Together, these products support efficiency, compliance, and AI powered experiences with real time governed data.
Release timeline and access
Explore what's new in the Reltio Connected Data Platform release of 2025.2. Key milestones for this release are outlined below:
| Date | Phase | Details |
|---|---|---|
| September 19, 2025 | Preview | Join the 2025.2 Release Overview Webinar on September 22, 2025. |
| October 24, 2025 | General Availability (GA) | All new features and enhancements in this release are fully available. |
| Early Access (EA) program: To join Reltio's Early Access program, contact your Customer Success Manager (CSM). | ||
For a complete schedule, see Release Notes at a glance. After GA, check our weekly release notes for minor updates and enhancements.
Highlights of this release
The 2025.2 release introduces major updates that enhance real-time performance, data unification, and operational intelligence across Reltio products. It also marks the launch of Reltio AgentFlow™, a suite of prebuilt AI agents that automate key data stewardship tasks such as match resolution, profiling, and data exploration.
The following table shows key features across Reltio products.
| Reltio Entity Resolution | Reltio Multidomain MDM | Reltio Intelligent 360 |
|---|---|---|
| — | — | Reltio Zero Copy Integration with Snowflake |
| — | Unstructured Data Studio | |
| — | Reltio AgentFlow Suite | |
| — | Prebuilt Agents: Resolver, Profiling, Data Explorer | |
| — | Reltio Integration with Veeva Vault CRM | |
| — | Real-time Email & Phone Validation | |
| — | Observability Hub | |
| Reltio Data Sharing with Databricks | ||
| Referential Matching for Identity | ||
| Enhanced Discovery and FERN for Data Steward | ||
Key features and enhancements
Learn about key new features and enhancements introduced in this 2025.2 release.
The following features and enhancements are included in this release to improve product capabilities, configuration workflows, and overall user experience.
Reltio Agent Flow™
AgentFlow is Reltio's new agentic operations suite that delivers prebuilt AI agents designed to automate data governance and business workflows. These agents operate on governed, real-time data in your Reltio tenant and inherit access, policies, and lineage from the Reltio Data Cloud™.
Each agent is designed to execute a specific task, from match resolution to workflow load balancing. AgentFlow ensures security, auditability, and role-based access (RBAC) by default, requiring no setup or scripting to get started.
- Data Explorer Agent - Explore entity profiles and relationships in read-only mode.
- Match Resolver Agent - Review and resolve potential duplicates using match recommendations and optional external enrichment.
- Intelligent Workflow Assignment Agent - Redistribute workflow tasks across active stewards to maintain balanced queues
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes (MCP Server and AgentFlow setup) |
| Additional subscription required | Yes (Data Explorer Agent included; other agents require credits) |
| Find out more | Reltio AgentFlow™ at a glance |
Data Profiler Agent
The Data Profiler Agent allows you to assess source data quality before loading it into Reltio. The agent profiles datasets across multiple dimensions — including completeness, uniqueness, and consistency — and ranks issues by match impact.
It recommends fixes using your existing cleanse rules, or standardization logic. After approval, you must load the validated dataset into your tenant using Data Loader (UI or API). The agent does not support direct handoff.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes (via AgentFlow setup) |
| Additional subscription required | Yes (credit-based AgentFlow add-on) |
| Find out more | Check back at GA |
Reltio Integration for Veeva Vault CRM™
Reltio Integration for Veeva Vault CRM™ enables a single, trusted view that improves engagement quality, speeds decisions, and reduces compliance risk without the cost and complexity of custom pipelines. It enables bi-directional sync of HCP/HCO profiles and relationships using production-grade Reltio Integration Hub (RIH) recipes.
Whether triggered by real-time events or scheduled jobs, it synchronizes creates, updates, merges, and deletes across platforms. Support for reference lookups and relationship sync keeps commercial data accurate, timely, and compliant.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | Yes |
| Find out more | Check back at GA |
Reltio Data Sharing with Databricks
Using Reltio Data Sharing with Databricks you can securely access AI-ready and trusted data from Reltio in near real time directly within Databricks, without moving or copying data; no ELT required
This zero-copy integration enables you to build and consume analytics, BI solutions, and AI applications with trusted, governed data, while reducing compliance risks and avoiding the cost and complexity of data replication. It also enables you to access data in a simplified schema or a flattened format.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | Yes |
| Find out more | Check back at GA |
Zero Copy integration from Snowflake
Zero Copy integration from Snowflake enables Reltio's Intelligent 360 to deliver real-time, composite views of profiles by integrating behavioral, interactions and transactional data in Snowflake without copying or storing the data. Secure, read-only access ensures governance and compliance, without duplicating sensitive data.
You can explore unified customer profiles as well as interaction time lines all within the Reltio UI. This approach lowers storage costs and simplifies integration while maintaining always-fresh insights.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | No |
| Find out more | Check back at GA |
Unstructured Data Studio
The Reltio Unstructured Data Studio™ unlocks the value of unstructured data, which lets you ingest documents like PDFs , extract entities with AI, and map them directly into Reltio's intelligent data graph. Here are some key features:
- AI-powered extraction - Ingest individual file(s) from sources like Google Drive, or S3. Automatically extract relevant entities, so stewards focus on review, not retyping.
- Mapping to Reltio profiles - Extracted data is intelligently mapped to Reltio's data model.
- Approval workflows - All changes are routed through configurable approval steps through DCR workflows.
- Document lineage - Source files are stored and deep-linked directly within profiles if required . for regulatory and operational traceability.
- Batch or real-time processing - Run document processing on a schedule or trigger it on demand .
| Get going with this feature | |
|---|---|
| Availability | EA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | Yes |
| Find out more | Check back at GA |
Address Auto Complete
With the new Address Auto Complete feature, capture clean, standardized addresses at source.This API capability improves data quality at the point of entry by providing type-ahead address suggestions and returning complete, standardized addresses.
This feature reduces manual errors, accelerates form completion, and ensures consistent global formatting.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | Yes |
| Find out more | Address autocomplete |
Real time Email and Phone Validation
With Reltio's real time Email and Phone Verification, you can validate contacts as they're captured or clean them up in bulk before usage.
Verify and write results to Reltio, or use stateless mode to check data without persisting in Reltio. Whether you're onboarding new customers or cleansing legacy records, you'll improve reach, reduce compliance risk, and cut manual cleanup.
Built-in flexibility for any workflow inside or outside Reltio.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | Yes |
| Find out more | Check back at GA |
Referential Matching for Identity™
Reltio Referential Matching for Identity links individual records to a curated U.S. referential dataset to increase match accuracy, reduce duplicates, and support enrichment with attributes like verified contact information, aliases, birth date, deceased indicator and other marketing signals.
The capability runs continuously in the background and is delivered through a governed Data Tenant subscription. You'll receive only the matched results, not the full referential dataset. It complements existing rule-based and AI-based matching without requiring rule rewrites.
| Get going with this feature | |
|---|---|
| Availability | EA (U.S. based tenants hosted in AWS) |
| Products | |
| Target roles | |
| Configuration required | Yes (Data Tenant entitlement and provisioning) |
| Additional subscription required | Yes (Premium add-on product) |
| Find out more | Check back at GA |
FERN 2.0 - Advanced Discovery, Enhanced Bulk Match
FERN now supports multiple matching modes to give you greater control and precision when resolving your data. You can choose from three pre-configured modes — Enhanced Discovery, Data Steward, and Full Mode — to tailor match behavior to specific business needs.
These AI-powered options help you identify additional matches missed by rules, prioritize steward review queues based on confidence scores, or do both. You can activate a mode through the AI Matching tab in the Data Modeler without changing your existing match rules or retraining any models.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles |
|
| Configuration required | Yes (FERN must be enabled and modes selected in Data Modeler) |
| Additional subscription required | Yes (FERN is a licensed add-on) |
| Find out more | FERN with Modes |
Customer Observability Hub
Built on Reltio Data Cloud™, the Customer Observability Portal gives you live operational insights and an intuitive interface for independent monitoring of platform performance, usage, and data quality. Observability dashboards display API throughput, error rates, and latency using RED metrics. Historical views help you compare trends over time and detect performance changes. You can drill down by user, API, or request type to identify problematic workloads and resolve issues faster. Role-based access supports operations, governance, and analytics teams.
Observability APIs will be available soon enabling customers to integrate Reltio platform metrics into their observability tool of choice, such as Datadog, Splunk, Grafana Enterprise, or any system that supports ingestion of time-series data.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | Yes |
| Find out more | Observability Hub at a glance |
Additional features and enhancements
Learn about any additional features and enhancements introduced in this 2025.2 release.
New simplified UI configuration
You can now convert multiple UI configuration files into a single, unified configuration that's easier to manage. On the Import/Export page of the UI Modeler, when the old configuration format is detected, a message prompts you to convert. With one click of a button, the configuration is transformed into the new format using predefined logic — without losing any of your current settings.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | No |
| Additional subscription required | No |
| Find out more | |
Survivorship defaults and fallback handling
We've enhanced the Survivorship capability to give you more control over how winning values are selected across your tenant. The following key enhancements expand what you can configure:
- Configurable default survivorship strategies - Set the default survivorship strategy at the tenant or object type level (entity or relationship). Object-level settings override tenant-level, with Last Updated Date (LUD) used as the fallback for backward compatibility.
- Dedicated fallback for zero values - Define separate fallback logic when no values exist, instead of treating "zero" and "more than one" the same. In other words, you can apply different fallback logic when no values are available versus when multiple values exist.
- Added optional
ignoreCase: trueparameter for Min, Max, Frequency, and Value-Based Priority strategies to treat case-variant values (e.g., "USA" vs "usa") as equal. Defaults tofalsefor backward compatibility.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | No |
| Additional subscription required | No |
| Find out more | Check back at GA |
Keep traffic private on Azure
You can now route tenant traffic privately over Azure Private Link — extending our zero-exposure model from AWS to Azure. With this capability, create a Private Endpoint in your Azure Virtual Network (VNet) and connect to Reltio using the provided service alias.
All traffic stays entirely within Azure's private IP space in the same region, never touching the public internet — enhancing security, reducing attack surface, and simplifying compliance with internal and regulatory policies.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | Yes |
| Find out more | Configuring Azure Private Link |
Setup the Reltio Data Pipeline for Snowflake (Direct Connect) in Console UI
The Console UI now supports configuring Snowflake data pipelines using the new Direct Connect architecture. Previously, this setup was only possible through APIs. With this update, users can create and fully manage Snowflake data pipelines directly in the Console UI.
This new experience will be available in Preview Tenants starting October 10, 2025, and will roll out to all tenants at GA. Moving forward, Direct Connect will become the default setup option for Snowflake pipelines in the Console UI. The staging pipeline setup will no longer be available in the Console UI, though pipelines based on the staging architecture will continue to be supported via APIs.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | No |
| Find out more | Check back at GA |
Track Interaction updates
We are introducing an enhancement that allows easier visualization and management of interaction data when updates are managed through append transactions . This feature allows users to track changes to interactions (e.g. hotel reservation updates) without modifying existing records — ensuring history is preserved and the latest state is always visible. Here are some key highlights:
- Append only model - Each update creates a new interaction with a unique URI
- GroupKey support - Use a simple attribute as the primary key and set it in the data model
- Streamlined UI - Shows only the latest interaction, and logs previous versions
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes ( For GroupKey) |
| Additional subscription required | No |
| Find out more | Check back at GA |