Agentic Data Curation
Agentic data curation brings together AI agents with human-in-the-loop oversight to streamline data curation, resolve difficult data issues, and help organizations deliver trusted data with greater speed and efficiency.
From Manual Curation to Mission Control
Tamr's Curator Hub is a command center for data stewardship—giving users a guided, explainable way to review and resolve data scenarios that require attention. It transforms curation from a manual, ad-hoc task into a streamlined, auditable process.
Curation Headquarters
Curator Hub surfaces duplicates, anomalies, and gaps—prioritized by Tamr AI—so stewards can focus on the most challenging data issues. Visual dashboards track data quality and activity trends, giving teams real-time feedback on system health and curation progress.
Customizable Workflows
Define how data issues are routed and put into queues, when agents are triggered, and which scenarios require human review. Tamr logs every change with full audit history—ensuring data governance, compliance, and collaborative transparency across teams.
Decision-Ready Curation Experience
Side-by-side views show curators exactly why records were flagged as potential matches and allow you to preview golden records before merging. Users can also reassign or regroup source records to ensure accurate entity resolution, increasing confidence and reducing rework.
“Bring Your Own Agent” Architecture
Use Tamr’s built-in agent library to tap into a starter set of prebuilt AI agents, with more on the way, including industry-specific tools and reusable logic templates. You can also integrate custom-built agents into Tamr’s workflow using a supported low-code approach.
Tamr’s AI-Native Advantage in Action
In the startup world, change is constant. But one thing remains consistent: our values. We believe there’s a strong link between happy people and healthy startups, and we’re committed to building a safe and nurturing environment for our team. We do this through:
Boost Productivity
Guided workflows surface what matters most, helping data stewards resolve issues faster and focus their time where it matters.
Improve Accuracy and Trust
Transparent recommendations and previewable actions build confidence across data, business, and IT teams.
Deliver Measurable Impact
Visual dashboards and metrics let curators track progress and demonstrate measurable business benefits.
Agentic Data Curation FAQs
Agentic data curation is a data management innovation that uses LLM-based AI agents with human-in-the-loop oversight to automate a greater portion of the data curation process—including merging, cleaning, and enriching data—by capturing and acting on the contextual insights needed to make confident decisions.
Agentic curation helps to improve data quality by intelligently cleaning, curating, managing, and refining the last mile of enterprise data—the part that addresses the idiosyncrasies and complex edge cases that are close to consumption and difficult to decipher—with minimal human intervention.
Tamr employs AI agents to compare the outputs of entity matches and explain the reasoning behind why records are (or are not) a match, providing the preliminary analysis humans need to determine if they trust the AI’s output or if they need to tune the model further. The agents also suggest edits to golden records (clusters of resolved records) based on changes that occur.
Curator Hub improves data stewardship efficiency by flagging duplicates, anomalies, and gaps in the data and presenting the information in a dashboard view so that data stewards can quickly and efficiently monitor the data, review it, and take action to improve its quality.
Tamr’s AI agents are triggered by change events (e.g., records created, updated, or mastered) in the mastering pipeline and orchestrated through Curator Hub, which acts as an always-on monitoring and triage layer for curation. Background agents continuously scan for outliers, duplicates, inconsistencies, and common discrepancies that rules may miss, then escalate exceptions into prioritized suggestion queues so data stewards can route and resolve issues efficiently within governance policies.
Yes, Tamr’s “bring-your-own-agent” (BYOA) architecture makes it easy for organizations to integrate their own AI agents into MDM workflows, enabling flexible, low-code automation that’s tailored to their business’s domain-specific needs. Using Tamr’s built-in agent library as a starting point, businesses can plug in custom agents to further expand their data curation capabilities.
How Agentic Data Curation is Transforming Data Mastering: Perspectives from the Tamr Co-Founders
You Don’t Need an App for That
Introducing Tamr's New Curator Hub & Vision for the Agentic Data Curation
See for yourself
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