2026.1 Major Release Notes
Learn about new features and enhancements introduced in this 2026.1 release.
- Reltio Multidomain MDM delivers scalable master data management across multiple domains, with built-in governance, survivorship, reference data management, and relationship views.
- Reltio Intelligent 360™ goes beyond MDM to add segmentation, derived attributes, interaction management, and conversational data exploration via Reltio Intelligent Assistant (RIA).
- 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 deliver governed, real-time data that supports efficiency, compliance, and AI-driven experiences.
Release timeline and access
Explore what's new in the Reltio Context Intelligence Platform release of 2026.1. Key milestones for this release are outlined below:
| Date | Phase | Details |
|---|---|---|
| April 17, 2026 | Preview | Join the 2026.1 Release webinar. |
| April 24, 2026 | General Availability (GA) | All new features and enhancements in this release are fully available. |
| Early Access (EA) program: You can join Reltio's EA program by contacting your Customer Success Manager (CSM) before GA. Enrollment closes at that point. Note: Documentation updates for the 2026.1 release features will be published on April 17, 2026, with the DEV and TEST deployment.
| ||
For a complete schedule, see Release Notes at a glance. After GA, check our bi-weekly release notes for minor updates and enhancements.
Highlights of this release
The 2026.1 release introduces major updates in agentic automation, data and context unification, and data and context activation. Together, these enhancements improve real-time performance, unify trusted data with richer business context, and make it easier to turn that data into action across Reltio products.
The following table shows which Reltio products include the key features introduced in the 2026.1 release.
| Key features | Reltio Multidomain Master Data Management (MDM) | Reltio Intelligent 360™ |
|---|---|---|
|
Reltio AgentFlow™ Unstructured | ||
|
Reltio AgentFlow™ Agent Builder | ||
|
Reltio AgentFlow™ Prebuilt agents: Profiler, Segmenter | ||
|
Reltio AgentFlow™ Fully automated agents (EA) | ||
|
Reltio AgentFlow™ Usage dashboard | ||
|
Reltio AI-Ready Content | ||
|
Reltio Identity Builder™ [Limited Availability - AWS] | ||
|
Grouping (EA) | ||
|
Reltio Zero Copy Interaction Integration from Databricks | ||
|
I360 Availability in China [Coming Soon - EA]1 | ||
|
Materialized hierarchy | ||
| RDM intelligent mapping | ||
| Reltio Integration with Confluent Cloud Kafka | ||
Notes:
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Key features and enhancements
Learn about key new features and enhancements introduced in this 2026.1 release.
The following features and enhancements are included in this release to improve product capabilities, configuration workflows, and overall user experience.
Reltio AgentFlow™ Unstructured
Reltio AgentFlow™ Unstructured is a new capability in AgentFlow™ that automates transforming documents, transcripts, and other unstructured content into governed context in Reltio Data cloud. Using LLM-powered extraction, it processes PDFs, Word files, scanned documents, HTML, and more — automatically mapping extracted data to Reltio entities with intelligent matching and human-in-the-loop validation.
Unlike traditional Intelligent document processing tools that stop at extraction, this capability is purpose-built for enterprise core data, delivering 80%+ field-level accuracy while eliminating manual data entry. Organizations can process documents at scale, achieve value, and turn static files into actionable context for AI agents, analytics, and operations — reducing manual effort and errors significantly.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | Included in AgentFlow Plus |
| Find out more | — |
Reltio AgentFlow™ Agent Builder
Reltio AgentFlow™ Agent Builder extends AgentFlow™ with this new governed authoring experience for creating and managing custom agents directly in AgentFlow™. It brings draft creation, in-product testing, governed publishing, prompt security scanning, and auditability into one workflow — helping your teams move from agent design to approved runtime use with less engineering dependency and lower production risk.
AgentFlow™ Builder combines lifecycle controls with role-based access, separating authoring and approval responsibilities through Agent Author, Agent Approver, and Agent Admin roles managed in Reltio Console. Publishing follows a mandatory request, review, and approval flow, while prompt security scanning runs at test and publish time to help prevent unsafe or unreviewed agents from reaching your end users.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | AgentFlow™ |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | Included in AgentFlow™ Plus |
| Find out more | — |
Reltio AgentFlow™ fully automated agents
Reltio AgentFlow™ Task Management lets you create long-running tasks that enable agents to operate in autonomous mode, resulting in fully automated agents. In Task Management, you can create tasks and schedule them to run once or on a recurring basis, so you can automate repeatable work without manual intervention.
Each execution runs as a separate job with its own status, runtime details, execution metrics, and outcome. Each job also has its own conversation, so you can review progress, inspect results, and continue follow-up interactions for that specific run.
| Get going with this feature | |
|---|---|
| Availability | EA |
| Products | All Reltio products |
| Target roles | |
| Configuration required | No |
| Additional subscription required | Included in AgentFlow™ Plus |
| Find out more | — |
Reltio AI-Ready Documentation on GitHub
Reltio AI-Ready Documentation is a new public GitHub repository that provides the complete Reltio documentation corpus in Markdown, ready for use with AI tools. The repository includes a full documentation corpus covering every published Reltio topic, and a contextual index that helps AI tools retrieve the right information faster and more accurately. No authentication is required, and both files are updated weekly every Friday to reflect the latest published documentation. It is designed for immediate use with AI assistants, coding tools, and automation workflows.
Starting April 24, 2026, the repository will also include a generation workflow that allows anyone to create how-to guides on any Reltio topic using AI and the reference documentation as the knowledge source, along with a set of example guides covering common Reltio workflows.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | All Reltio products |
| Target roles | |
| Configuration required | No |
| Additional subscription required | No |
| Find out more | — |
AgentFlow™ usage dashboard
AgentFlow™ usage dashboard gives you visibility into AgentFlow agents credit consumption against your annual entitlement. Credits are allocated at contract start with no monthly resets, and all tenants under the same Base Package share a common credit pool. Notifications are triggered at 75%, 90%, and 100% usage, and new messages are blocked when credits are exhausted.
A new usage dashboard, accessible to users with the required permissions, displays credit balances, contract details, and consumption by Base Package and tenant.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | All Reltio products |
| Target roles | |
| Configuration required | Yes. Assign ROLE_AGENT_BILLING to users who need usage dashboard access. |
| Additional subscription required | Yes. AgentFlow Plus package (Essentials only include the Data Explorer and Profiler agents). |
| Find out more | AgentFlow billing and credit usage |
Reltio AgentFlow™ Segmenter for Reltio Intelligent 360™
The Reltio Agentflow™ Segmenter is now available in AgentFlow™ for Reltio Intelligent 360™, providing a prebuilt AI-driven interface for creating, refining, and managing segments through conversational interactions. The agent enables segment definition, rule updates, schedule management, job execution, and result review within a guided workflow that operates on governed, real-time data.
This capability extends the segmentation experience into AgentFlow™ by validating user requests against tenant schema and metadata, identifying invalid inputs, and suggesting corrections before execution. It supports previewing results for smaller queries and running larger segmentation jobs asynchronously, ensuring efficient processing at scale, simplifying segment management while maintaining accuracy, governance, and role-based access control.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | No |
| Additional subscription required | No |
| Find out more | — |
Reltio Identity Builder™
Reltio Identity Builder™ 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. It is available for U.S. based tenants hosted in AWS.
This 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 | Limited availability to 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 | — |
Grouping
Grouping is now available as a unified capability that supports two modes: Basic and Advanced, enabling flexible grouping strategies based on scale and complexity requirements. Basic mode, available for general use, provides the functionalities for standard grouping scenarios, while Advanced mode, available as an early access functionality, extends this capability to support larger-scale and more complex use cases.
Advanced mode introduces support for larger group sizes, multi-level grouping scenarios, and more advanced aggregation behavior, using a dedicated grouping processor and group-level matching to improve scalability. This dual-mode approach allows organizations to apply grouping strategies that align with their data complexity, supporting both standard and hierarchical use cases such as corporate, healthcare, and retail structures, while enabling early access to advanced capabilities.
| Get going with this feature | |
|---|---|
| Availability | Basic mode - GA, Advanced mode - EA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | Yes |
| Find out more | — |
Reltio Zero Copy Interaction Integration from Databricks for Reltio Intelligent 360™
Reltio Zero Copy Interaction Integration from Databricks enables Reltio Intelligent 360™ to access and use interaction data stored in Databricks without replicating data into Reltio, connecting securely through public-private key authentication and querying data in place while linking it to Reltio profiles through crosswalks.
This capability extends Intelligent 360™ by incorporating externally stored interaction data into the profile view, allowing interaction datasets from Databricks to appear alongside mastered profile data in the Hub. By eliminating data replication and relying on live access, the integration supports data governance requirements, reduces infrastructure overhead, and ensures that the interaction timeline reflects near-real-time activity, enabling more accurate customer insights.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | No |
| Find out more | — |
Materialized Hierarchy
Materialized hierarchy is a new feature in Profile view that introduces a centralized way to create, view, and manage hierarchies. A dedicated hierarchy view in Hub shows how records are connected within a hierarchy, helping you work with complex structures more clearly and consistently.
Hierarchy instances can be created from scratch or imported into the UI. As data changes over time, nodes can be moved or copied to keep hierarchies aligned with current business structures.Built in versioning and effective dating provide a reliable way to manage hierarchy changes over time, helping ensure the correct structure is available for each point in time.| Get going with this feature | |
|---|---|
| Availability | Early Access (EA) |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | No |
| Find out more | — |
Automate unmapped value resolution with RDM Autopilot
Autopilot now evaluates unmapped source values in transcode operations based on similarity and frequency. It automatically generates mappings when confidence is high or provides suggested mappings for review, helping you reduce manual effort and maintain consistent reference data.
This capability supports more efficient handling of new or unexpected source values by identifying patterns across existing mappings and frequently occurring values. It helps improve data standardization and reduces delays in transcode processing caused by unmapped entries.
Autopilot is applied only when enabled through Autopilot configuration. When it is not enabled, unmapped values continue to require manual review and mapping. This capability is available in Reference Data Management (RDM) when Autopilot is enabled.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | No |
| Find out more | — |
Reltio Integration with Confluent Cloud Kafka
Reltio Integration with Confluent Cloud Kafka enables outbound event streaming directly from Reltio to Confluent Kafka, supporting native connectivity with Kafka-based data platforms without requiring intermediate queue services or connectors. This integration works with your Confluent Kafka account, allowing Kafka to be configured only as an outbound streaming destination within Reltio, supporting event delivery from Reltio to Kafka only.
By eliminating the need for intermediary queues and connectors, this integration reduces event propagation latency and operational overhead, providing a more streamlined and reliable model for outbound Kafka streaming use cases.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | No |
| Find out more | — |
Reltio Zero Copy integration with Snowflake: Enhanced authentication and segmentation in Reltio Intelligent 360™
Reltio Zero Copy integration with Snowflake for Reltio Intelligent 360™ now includes enhanced authentication, connectivity, and segmentation capabilities, extending how external data can be securely accessed and used within Intelligent 360™.
Updated support for Snowflake authentication and connectivity aligns the integration with Snowflake's recommended models, including OAuth and external identity provider integration, along with support for Connected Application Mode. Access controls are enforced through Snowflake's native role-based permissions, ensuring that Zero Copy data access follows existing enterprise governance policies — enabling secure, compliant integration without introducing additional access management layers.
Segmentation capabilities now extend to interaction data stored in Snowflake, allowing segment conditions to be evaluated directly against external data without replication. This approach ensures that segmentation reflects the most current interaction data while maintaining governed access to the source system — enabling more accurate audience definition and analysis based on real-time data.
| Get going with this feature | |
|---|---|
| Availability | EA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | Yes |
| Find out more | — |
Additional features and enhancements
Learn about any additional features and enhancements introduced in this 2026.1 release.
BCE coverage extended to Reference Data Management (RDM) on AWS
Business Critical Edition (BCE) now extends high availability and disaster recovery capabilities to Reference Data Management (RDM) tenants on AWS. It enables cross-region failover for RDM data and services, helping ensure resilience and operational continuity.
This update improves reliability for RDM workloads by maintaining data availability and supporting failover scenarios across regions.
This update applies to RDM tenants hosted on AWS as part of Business Critical Edition.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | No |
| Additional subscription required | No |
| Find out more | — |
LCA Lambda Function support for other languages
Life Cycle Actions (LCAs) now support AWS Lambda run-times beyond Java 21, enabling implementation in multiple programming languages while preserving a consistent execution model for triggering, responses, logging, and error handling. This expansion aligns LCA development with existing cloud standards and allows teams to use preferred run-times without changing integration behavior.
Existing Java-based LCAs continue to operate without modification, while run-time selection is now included as part of LCA configuration. Guidance for non-Java implementations follows the same request and response patterns, ensuring consistent interoperability across run-times and reducing effort when extending or standardizing LCA implementations.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | No |
| Find out more | — |
Healthcare VP to Salesforce Sales Cloud Integration
The Reltio Integration Hub (RIH) now supports integration between Reltio Healthcare VP and Salesforce Sales Cloud, extending existing integration patterns to Healthcare-specific entities, attributes, and relationships. This integration follows the same architectural model, dispatch mechanisms, and synchronization logic used in the existing B2B Velocity Pack integration, while extending support to Healthcare-specific entities, attributes, and relationship types.
Bidirectional synchronization is supported through Salesforce to Reltio Single Dispatch, Reltio to Salesforce Single Dispatch, Reltio to Salesforce Batch Dispatch, and Search Before Create (SBC), ensuring controlled data movement and duplicate prevention across systems. Healthcare-specific mappings and relationship validation logic enable accurate exchange of HCO and HCP data, supporting consistent profile creation and maintenance across platforms.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | No |
| Find out more | — |
Configure RDM lookup values for cleanser input
The new cleanseLookupInputStrategy parameter gives you more control over how cleansing works for attributes that use RDM lookup data. Cleansing can now use the raw value, the resolved lookup value, or the lookup code as input, supporting more flexible cleansing for lookup attributes.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | |
| Target roles | |
| Configuration required | Yes |
| Additional subscription required | No |
| Find out more | — |
Unified entitlement and usage dashboard
The new Entitlement and Usage Summary page in Console provides a unified view of entitlement and usage data across your contracts, base packages, and tenants. It provides visibility into entitlement allocation of API, Consolidated Profiles (CPs), Reltio Storage Units (RSU), and Reltio Integration Hub (RIH) usage across packages and tenants.
The dashboard helps you monitor usage, proactively plan for approaching limits and potential overages, and adjust as usage patterns or entitlement needs change.
| Get going with this feature | |
|---|---|
| Availability | GA |
| Products | Pre-Commerical Pharma Reltio Context Intelligence Platform I360 Reltio Context Intelligence Platform MDM |
| Target roles | ROLE_API |
| Configuration required | No |
| Additional subscription required | No |
| Find out more | — |
AWS support for Reltio Intelligent 360™ interaction storage and management
Reltio Intelligent 360™ now supports interaction storage and management on Amazon Aurora as an alternative to Google Cloud Spanner, expanding infrastructure options for environments where Spanner is not available or where AWS is the preferred cloud platform due to regulatory, compliance, or strategic requirements.
The capability integrates with existing Intelligent 360™ interaction workflows, enabling interaction data to be stored and managed on AWS while maintaining compatibility with segmentation, reindexing, and historical data retrieval, supporting flexible deployment choices without disrupting existing data operations.
| Get going with this feature | |
|---|---|
| Availability | EA |
| Products | |
| Target roles | |
| Configuration required | No |
| Additional subscription required | Yes |
| Find out more | — |