Woodwide

Wood Wide AI, Inc. is a Delaware-incorporated machine learning infrastructure company based in Pittsburgh, Pennsylvania. It offers a cloud-based API that lets platform teams reason over structured and time-series data. Customers upload or connect tables, logs and metrics — from a single table to multiple related datasets — and supply context such as column and row descriptions, units, constraints, schemas and business rules so that numeric values are handled as constrained, meaningful objects. The system then learns a single reusable latent representation of the dataset, which can be called through endpoints for prediction, segmentation, anomaly detection, explanation and what-if analysis inside applications or agent workflows, without task-specific ML pipelines, model fitting or continuous retraining.

The documented product exposes seven model types for tabular data: prediction (supervised classification and regression on a target column), clustering with human-readable cluster descriptions, anomaly detection, row-level embeddings, similarity search against the training set, factor analysis of latent variance drivers, and causal effect estimation of a treatment on an outcome column. All capabilities follow a common three-step workflow — upload a CSV or Parquet dataset, train a model with a dataset ID and model type, then run inference on a CSV file. Access is available through the REST API, a typed Python SDK, a `wwai` command-line tool and a web console for dataset upload, training and API-key management. Training a second model on an already-processed dataset is stated to be significantly faster than the first run.

A third-party private-market profile characterizes the company as an enterprise software / AI infrastructure business with a B2B model spanning subscription and usage-based SaaS, data-as-a-service and services, and lists an employee range of 2 and a founding year of 2025.

Business model

B2B sale of cloud-based API access to pre-built machine learning models for data analysis. Accounts are created online, API keys are issued per authorized user upon account creation and payment of applicable fees, and usage is governed by rate limits and technical restrictions set by the company. A third-party profile categorizes the customer profile as subscription SaaS, usage-based SaaS, data as a service, and services and consulting.

Access to the Services is conditioned on payment of applicable fees, with API keys issued on a per-user basis; a free trial and early-access/beta features are offered for evaluation.

Traction

A third-party private-market profile reports total funding raised of $1.25M, an employee range of 2, and places the company in the top 25% of tracked companies by its momentum index.