Pattern

Prepare business data and run AI agents across company databases and

Pricing model

Demo

Time to value

Requires Expertise

You can use Pattern to connect company data sources and deploy autonomous agents on governed business records. The system links your data warehouses, databases, customer relationship management software, emails, and call recordings. It builds a shared semantic model so every agent works from consistent business definitions. Automated pipelines materialize calculations directly inside your warehouse, reducing repetitive database queries. You can run deep analysis across customer interactions, cross-check answers with lineage back to raw records, and deliver insights directly to Slack or existing work apps.

What Pattern does

Connect data warehouses and databases to autonomous agentsDefine business entities and metrics in a central semantic modelMaterialize analytical calculations as tables in the warehouseAudit agent reasoning and query plans against raw data recordsPush notes, notifications, and alerts into sales and support softwareAnalyze unstructured customer call transcripts and support ticketsSemantic business model that standardizes metric definitions for all agentsPre-computed agent pipelines that save calculated records directly to your warehouseQuery engine that translates business questions into parallel SQL and code executionAutomated cross-checking of outputs with lineage back to raw database recordsRead and write capabilities across CRM, ticketing, and messaging toolsPrebuilt integrations with over 1,500 external enterprise toolsDirect delivery of insights into Slack, custom apps, or external assistants