Numeric Reasoning for the GenAI Era

Wood Wide AI gives platform teams a single API for reasoning over structured and time-series data.

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ABOUT WOOD WIDE AI

Use Wood Wide to build a reusable numeric representation of tables, logs, and metrics conditioned on schema, units, and rules, for reliable forecasting, anomaly detection, explanations, and what-if analysis inside products and agent workflows, without bespoke ML pipelines, model fitting, or constant retraining.

How it works

One representation layer that powers numeric reasoning

Build once.
Reason everywhere.

Wood Wide's reusable representation layer enables AI-native teams to add reasoning across multiple operations without building task-specific models or continuous retuning as requirements change.

Context and rules in, reliability out.

By conditioning on units, semantics, schemas, and constraints, Wood Wide produces outputs that are accurate, interpretable, and dependable in settings where correctness matters.

Agent-ready numeric reasoning API.

Wood Wide acts as a dedicated numeric reasoning tool that agents and Large Language Model orchestrators can call to get accurate, adaptive, reliable numeric insights.

Explore the API

Use our documentation and free trial to work with numeric reasoning on structured and time-series data.

Questions as you evaluate? Contact us

Read the docs