Go From Zero To Insights with Precog

Ask AI questions of your business data and get fast, accurate, auditable answers from the systems your organization relies on.

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Semantics and Intent

The business blueprint for your AI

Precog combines your use cases, source-system knowledge, and user feedback to build a robust context layer, so your AI answers from understanding.

01Knowledge Base 02Semantic Layer 03Continuous Feedback

Knowledge Base

Business definitions that ground your AI

Precog builds a knowledge base of definitions, corrections, and context that teaches your AI assistant how your organization thinks and talks about its data. It starts from what Precog knows about the source system, layers on an understanding of how the data is used, and gets sharper as users interact with it.

HR book icon in center linked to KPI, Business Property, Definition, and Corrections boxes with related terms.

Semantic Layer

Live semantic models, built and maintained automatically

Precog automatically creates a robust, live semantic model of your data. Metrics, dimensions, hierarchies, and business context, across multiple sources and data sets, unified into a single layer for LLMs or dashboards.

Diagram showing tables time_recording, emp_job, fodepartment, fojob_code, folocation, emp_employment linked to user table.

Continuous Feedback

Your AI gets smarter with every conversation

Business users can start asking questions immediately. When an answer is off, they say so in the chat, and the semantic model is updated with their correction. The data team reviews and approves every change before it takes effect. The model improves continuously, and your data team stays the source of truth.

Enterprise-Grade Governance

Auditability and control built in from day one

AI users can see how every answer is derived. And the data team stays in control, approving every model change before publish.

01Auditability 02Version Control

Auditability & Explainability

Every answer is transparent and verifiable

With each answer your AI provides, you'll see the exact data sets referenced, the last refresh date, and the SQL used to produce the result. When a CFO asks how a number was calculated, or a compliance team asks which data set was queried, you have a precise, verifiable answer. Confidence in AI output starts with knowing exactly where it came from.

Screens showing queried database tables and SQL code calculating employee overtime and total hours by department.

Version Approval & Control

The data team approves every change to the context model

Every update to the context model, whether triggered automatically or submitted by a business user, goes through the data team before it takes effect. Full version history. Clear audit trail. Your data team remains the source of truth for how your enterprise data is defined and described.

Table with versions v1, v2, and v3 marked semantic changes; published dates are yesterday and today.

View-Level Permissions

Your existing governance practice, extended to AI

Precog respects the view-level permissions your data team already has in place. The governance practice you have built carries forward, automatically, into every AI interaction.

Intelligent Ingest

Access all your data from any SaaS source

Precog connects to the critical systems your enterprise runs on — 2,000+ and counting.

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Universal Connectors

No-code integration, no maintenance

Precog covers any SaaS application you need, including difficult-to-integrate ERPs, procurement systems, and operational platforms. For sources not yet in our catalog, Precog's Universal Connector AI generates a new connection in hours, not weeks of engineering work.

Any Data Type

All your data, regardless of format

Move and query structured, semi-structured, and unstructured data in a single platform. Whether it's simple data, nested JSON or a PDF contract, Precog brings every data type into your data warehouse.