Leading brands rely on Precog
Today's organizations are deeply invested in their data platforms and in AI rollouts, but it remains difficult to get accurate answers.
The problem isn't the LLM; it's that AI doesn't know what your data means.
Precog gives your AI a deep understanding of your data and your business context. It's the missing layer between your sources, existing data platform and LLMs, that delivers live ontologies of your company's data with your definitions, logic, and relationships so your teams can start asking questions right away.
Define what matters and questions you need to answer and Precog guides you through a series of prompts to build the bigger picture. No sprawling discovery projects, no guesswork about where to begin.
Precog connects to your SaaS applications, learning the data during delivery and detecting relationships between systems automatically. What used to require manual development work happens autonomously.
Precog adds your organization's definitions, calculations, and relationships onto the data during ingestion, generating custom semantic models without months of manual defining, mapping and building.
Business users can immediately start asking questions of your data with Claude, Google Gemini, ChatGPT or Microsoft Copilot. No backlog of IT tickets standing between teams and the insights they need.
See exactly which sources were queried, when data was last updated, and the SQL used to produce each result so everyone has confidence in the responses that AI returns.
When an answer misses the mark, Precog captures the feedback and routes it to your data team for review. Approve the correction and the model updates automatically, so accuracy improves continuously without additional manual work.
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