Build Smarter AI With Real-Time Customer Data

Tealium’s Data Layer is the AI companion that gives your models consented, structured, enriched data so that you can activate your AI Initiatives everywhere.

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Your Models Are Only As Good As Your Data Pipeline

You've got compute. You've got talent. You've probably got a dozen models in production.

Predictions sit in tables. Scores age overnight. By the time a "high intent" signal reaches a customer touchpoint, the moment is gone. The gap isn't models. It's the infrastructure between inference and action Tealium keeps clean, real-time customer data flowing where you need it, when you need it, with the governance needed to stay compliant.

Five Pillars of Smarter AI

Real-Time Event Collection

Capture customer interactions across web, mobile, server-side. Schema validation at ingestion. Sub-100ms latency to your model endpoints or feature stores.

Compliance By Default

Consent signals travel with every event. Automatic PII filtering, encryption, and obfuscation. Full audit trail for every data point. GDPR/CCPA-ready out of the box.

Feature Engineering Pipeline

Transform raw events into model-ready features in-stream for Bidirectional Model Integration. Visitor profiles, behavioral aggregates, audience classifications available everywhere.

Contextual Data Labeling and Enrichment

Built-in tools to add relevance, metadata, and contextual information like visitor profiles, audience badges, calculated attributes, and other details to improve AI performance.

Integration for AI Activation

From real-time AI outputs to targeted audiences, to batch-based lists, activate AI models in any tool or channel - using our library of 1,300+ integrations, APIs, and Functions.

Native Integration With Your AI Stack

Works with the tools you're already using:
Cloud AI Platforms: AWS SageMaker, Bedrock | Azure ML, OpenAI | Google Vertex AI, Gemini | Data Warehouses: Snowflake, Databricks, BigQuery, Redshift | Model Serving: Custom endpoints via REST API | Real-time | Batch processing

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