Foundry

Govern the audience datasets and models your AI depends on.

Foundry turns asked, acquired, and observed audience data, plus scoring, population, and predictive models, into documented, validated, AI-ready intelligence foundations.

Foundry organizes audience data and models.

It keeps audience datasets, population models, and score models in one governed place.

Each asset keeps the basics attached: source, definitions, lineage, caveats, version, validation notes, and status.

What Foundry governs

The three building blocks inside Foundry.

Audience datasets

Datasets that hold the raw audience signals.

Survey responses, panel files, voter or customer records, CRM fields, behavioral observations, enrichment tables, and other structured sources.

  • Field definitions
  • Value meanings
  • Source and lineage notes
Population models

Models that define who an audience represents.

Universe definitions, weighting schemes, segments, cohorts, sample frames, population estimates, and adjustment logic.

  • Universe and sample rules
  • Weights and adjustments
  • Segment definitions
Score models

Models that turn audience data into usable intelligence.

Propensity scores, fit scores, priority rankings, affinity measures, risk indicators, classifications, and predictive outputs.

  • Model purpose and version
  • Validation and caveats
  • Interpretation rules

Connectors

Bring audience assets into Foundry from wherever they already live.

Apps

Connect to the operational and marketing systems where audience activity, customer records, and campaign context are already being created.

Warehouses

Sync governed tables, modeled outputs, and structured audience records from the warehouse environments teams already trust.

Cloud Storage

Pull files and folders from cloud storage so source extracts, partner drops, and recurring deliveries can be governed in one place.

Local files

Upload the spreadsheets, codebooks, survey exports, model files, and one-off research artifacts that still carry critical context.

Make every audience dataset and model ready before analysis begins.

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