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Wood Wide AI is an API-first numeric intelligence layer for structured data. It transforms tables and time series into reusable, context-aware representations that power forecasting, anomaly detection, segmentation, and what-if analysis across products and agent workflows, without rebuilding pipelines or training a bespoke model for every new dataset. As data and requirements evolve, general-purpose models and custom pipelines do not always stay consistent. LLMs excel at language reasoning, but decision-grade quantitative work typically requires more predictable behavior. Without a reusable approach, numeric ML can become a growing set of one-off models that take significant time and effort to maintain. What you get with Wood Wide:
  • API-first integration: ship working capabilities quickly without heavy ML infrastructure.
  • Reusable representations: build once, apply across workflows, teams, and use cases.
  • Adaptive analysis: stay accurate as business conditions change, with less retraining and maintenance.
  • Production-ready outputs: consistent behavior you can test, monitor, and iterate on.