Search before create support for Veeva Vault CRM

The Reltio Integration for Veeva Vault CRM now supports the Search Before Create (SBC) feature, which helps prevent the creation of duplicate records. SBC searches for existing records across Veeva Vault CRM and Reltio Tenants before a new record is created.

If a match is found and the record is not already present in Veeva Vault CRM, the selected entity can be imported into Veeva Vault CRM instead of creating a duplicate. This enhancement improves data quality and reduces the effort required to resolve duplicate records manually.

For more information, see Search Before Create (SBC) for Veeva Vault CRM

Reltio AI-Ready HOWTOs on GitHub

Reltio AI-Ready HOWTOs is a public, open-source generator kit that enables Reltio customers, partners, and internal teams to produce accurate, task-based HOWTO guides for products in the Reltio Context Intelligence Platform with AI assistance. The public HOWTO guides repository is available at Reltio AI-Ready HOWTOs on GitHub. The kit is grounded in the official Reltio documentation corpus, synced twice weekly from Reltio Documentation Portal, and uses Claude Code as the generation engine. Every guide it produces traces every factual claim to the official corpus.

The model is fork-and-use: fork the repository, run npm install, open Claude Code, and generate HOWTOs tailored to your team's specific Reltio workflows. Guides are produced simultaneously in Markdown and self-contained HTML. A pre-commit hook validates and renders HTML automatically on every commit, and a scheduled GitHub Actions workflow keeps the corpus current without manual intervention.

Introducing Reltio Ontology Builder

Reltio Ontology Builder is a new agentic web experience on the Reltio website. It automates the heaviest phase of data model design by translating your existing schemas into a Reltio-ready canonical model in minutes — reducing discovery work.

This feature allows you to review available velocity packs through interactive visualizations, upload a source schema, inspect suggested mappings, and download generated schema output. It uses an AI agent and large language model (LLM) capabilities to analyze uploaded schemas and suggest mappings to Reltio model components. You can use the generated output as a starting point for model review and implementation planning.

For more information, see Reltio Ontology Builder.

Automatic sorting for pinned and ignored attribute values in Sources perspective

The Sources tab in the entity Profile page now automatically sorts attribute values in the following order:

Pinned > Unpinned > Ignored.

This updated ordering creates a consistent hierarchy across attribute values from multiple crosswalks, helping you focus on the most relevant values more quickly during comparison, validation, and operational value selection.

For more information, see Attribute Values Order.

Relevance scoring in _scoredMatches API

The _scoredMatches now returns optional relevance and actionLabel fields for matchGroups items when a matched rule produces a relevance value, including FERN-based rules. This enhancement gives you more context about why a candidate was returned when you compare records against external data. Existing matchScore behavior, candidate ordering, and other matchGroups fields remain unchanged.. For more information, see Search for potential matches for entity specified in JSON with scoring

Preserve customer attributes for group entities

Grouping-generated entities can now preserve customer-provided attributes that are attached through a crosswalk separate from the grouping service. Previously, recalculation could delete or recreate attribute values on the group entity because the grouping service fully managed that data. With this enhancement, grouping updates only grouping owned attribute values and preserves customer-enriched values from other source systems, allowing business data to persist through recalculations and membership changes. This option is available for grouping types configured through L3 tenant configuration, it isn't available in the Data Modeler UI.

For example, a Household entity can retain a head-of-household designation or externally calculated family income that was added by a customer system, even after the grouping service recalculates the household. If the group later dissolves, customer-managed data can remain on the retained entity instead of being removed with the grouping-managed values, helping preserve durable business context.

For more information, see Preserve customer attributes on group entities.

Amazon SQS payload support is increased from 256 KB to 1 MB

Reltio now supports Amazon SQS event payloads up to 1 MB for external queue streaming, increased from the previous 256 KB limit. The increase in the Amazon SQS event payload limit allows downstream consumers to receive larger event payloads through Amazon SQS more reliably. This update applies to Amazon SQS destinations configured in External queues in the Tenant Management application.

For more information, see Add an external queue configuration and Events API.

Google Cloud Private Service Connect for Reltio Private Link

Reltio Private Link now supports Google Cloud Private Service Connect (PSC) to access supported Reltio environments through a private endpoint. This feature provides a setup path for private connectivity from a Google Cloud VPC to Reltio services over a private network path.

This feature is available for Reltio Private Link on Google Cloud, subject to regional availability and Reltio approval for the environment.

For more information, see Configuring Google Cloud Private Service Connect.

Automate unmapped value resolution with RDM Autopilot

RDM Autopilot (Intelligent Mapping) 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.

This capability is available in Reference Data Management (RDM). You can enable Autopilot in the RDM UI through Autopilot configuration. When Autopilot is not enabled, unmapped values continue to require manual review and mapping.

For more information, see RDM Autopilot , RDM Autopilot API

Reltio Address Cleanser update

The Reltio Address Cleanser is updated with the latest data refresh and verification enhancements. These updates include data improvements and issue fixes across multiple countries. They improve verification results and cleansed address output.

Key improvements include postal code verification enhancements for Japan, corrected Address1, Address2, and Address3 splitting for CASS and SERP in the United States and Canada, and a fix for overpopulated output values. Together, these changes support more accurate and consistent address data and more reliable verification results.

For more information, see Reltio Address Cleanser update - April 2026