Precog

Precog, operating as Precog Data, Inc., sells what it calls a "context engine" for enterprise AI: a layer that sits between an organization's source applications, its existing data platform and large language models. The platform ingests both structured data (for example ERP tables and SaaS application records) and unstructured content (such as contracts and transcripts) and produces live semantic models, or ontologies, that carry the organization's own definitions, calculations and relationships.

The company frames the core enterprise problem as data fragmentation across dozens of source applications, loss of context during extraction, and business logic that lives in documents and institutional knowledge rather than in systems. Its stated workflow runs through six stages — identify the use case and data sources, connect and deliver data from SaaS sources while automatically detecting cross-system relationships, model the data by attaching business logic during ingestion, ask questions through assistants such as Claude, Google Gemini, ChatGPT or Microsoft Copilot, audit answers by exposing the sources queried, data freshness and generated SQL, and learn by capturing user feedback that data teams approve to update the model.

Earlier company materials describe Precog as a data integration company delivering automated ELT, positioning itself against the practice of adding data engineering headcount to handle complex object schemas from APIs, SaaS applications, IoT platforms and NoSQL databases.

Business model

Precog sells software to enterprises, offering a published pricing page, a self-service free trial, documentation and a demo request path alongside a direct sales function led by a senior vice president of sales.

Traction

Precog states that leading brands rely on its platform and maintains an extensive catalog of application data sources; it also reports using its own context engine internally to build an agentic customer support system for ticket triage, deduplication and diagnosis.

Latest developments

Precog promotes a free trial of its context engine and publishes content on giving AI models business context, building an agentic AI support system on its own platform, and operational data questions for manufacturing finance leaders.