Power Data Science & Analytics

Build Models That Learn from the Right Signals

For data science teams, everything starts with the input. And too often, models are built on incomplete profiles, questionable identifiers, or enrichment data that adds more noise than value.

AtData helps data teams shortcut the cleanup and focus on what matters: building models that reflect real people, real behaviors, and real potential.

Whether you’re scoring risk, predicting churn, modeling lifetime value, or segmenting audiences, our structured datasets supply the foundational identity signals and behavioral context your models need to perform.

Where Our Data Fits in Your Stack

• Pre-Model Prep

  Use verified email, name, and postal data to deduplicate records and resolve identities before they enter your pipeline.

• Feature Engineering

  Enrich datasets with alternate email pairings, recency signals, or demographic context to create smarter, more predictive features.

• Segmentation + Modeling

  Classify and segment more accurately with real-world indicators of responsiveness, household attributes, and identity confidence.

• Post-Model Activation

  Match outputs back to real, deliverable email addresses for use in campaigns, workflows, or partner activation.

Signals That Matter to Data Teams

• Verified Identity Anchors
  Ground your models in validated emails tied to real names and postal data — ideal for deduplication, resolution, and entity linking.
• Alternate Email Mapping
  Identify cross-platform users with billions of alternate email pairings that strengthen match logic and reduce fragmentation.
• Open Score + Engagement Recency
  Build engagement-based models or prioritize responsive contacts using signals scored across a vast partner ecosystem.
• Demographic + Household Data
  Add inferred household traits like income and age range to support classification, targeting, or scoring — without PII.
• Real-World Confirmed Linkages
  Use high-confidence match data validated through e-commerce and behavioral sources for cleaner training and sharper analysis.

Why It Delivers Real Value

AtData gives data science and analytics teams a reliable foundation to build on: clean inputs, strong signals, and scalable delivery. You spend less time wrangling data and more time driving results.

• Cleaner inputs = better model performance
  Verified email, name, and postal data reduce duplication and ensure consistency across records.
• Smarter features from real-world behavior
  Open Score, alternate emails, and inferred demographics provide meaningful signals—not just enrichment for enrichment’s sake.
• Less noise, more accuracy
  High-confidence linkages and structured formatting help your models learn faster and perform more reliably.
• Flexible delivery, easy integration
  Our datasets are built for enterprise use—ready to slot into your existing workflows, pipelines, or platforms.

Whether you’re segmenting customers, scoring leads, or training AI, AtData helps your data science team deliver value faster with fewer blockers along the way.

Built for Teams That Deliver Insight at Scale

• Data science and AI/ML teams
• Marketing analytics and segmentation leads
• Business intelligence and customer insights
• Risk modeling and fraud prevention groups
• Analytics engineers and platform owners

Build smarter, cleaner, and more confident models with data you can trust.