AI-Enabled Data Warehouse

You already have dbt models, tested pipelines, and business logic in your warehouse. We build the layers that make all of it queryable by AI agents and your team.

Schedule Demo
Claude Desktop analyzing Jaffle Shop revenue data with charts and insights Chat Cowork Code Jaffle shop sales over time analysis ⌄ Break down Jaffle Shop revenue by location Visualized data and prepared analytical breakdown › Now I can see the full picture — that March inflection point was Brooklyn opening up. Philadelphia Revenue $451K Orders 39,931 Avg order $11.29 Gross margin 80.4% Brooklyn Opened Mar 2025 Revenue $220K Orders 22,017 Avg order $10.01 Gross margin 80.3% Philadelphia Brooklyn $100K $80K $60K $40K $20K $0K Sep 24 Oct 24 Nov 24 Dec 24 Jan 25 Feb 25 Mar 25 Apr 25 May 25 Jun 25 Jul 25 Aug 25 Products by location ↗ Customer types by location ↗ That March mystery is solved — Brooklyn opened in March 2025, instantly explaining the near-doubling in total revenue.

Your dbt project is the starting point

Most organizations have already invested heavily in dbt: curated models, tested transformations, documented metrics. The problem isn't the data — it's that only people who know SQL can access it, and no AI agent can use it safely.

We take your existing dbt project as-is and build the intelligence and access layers on top of it. No migration. No rip-and-replace. Your models stay where they are.

Frontier Ops ❤ dbt

DEPLOY FASTER, DEPLOY SAFELY

Everything you need to deploy AI

Two ways to work. One platform.

Your team asks questions through Claude Desktop. Your agents run workflows on autopilot. Both use the same connectors, the same semantic layer, with robust permissions.

9:41 C Claude Frontier Ops Warehouse What's our MRR this quarter? Based on your dbt models: $1.24M ↑ 18% vs last qtr Recurring revenue · verified against orders model Break it down by segment Revenue by customer segment: Enterprise $680K Mid-market $420K SMB $140K Scoped to your RBAC role · Analyst Ask about your data…

Data Warehouse & Product Connectors

Connect your data sources, APIs, and enterprise systems into a coherent data fabric.

Snowflake Databricks BigQuery Redshift Amazon S3 Elasticsearch Neo4j Firebolt ClickHouse Shopify HubSpot

Security

Enterprise-grade role-based access control that governs who and what can interact with your AI systems — ensuring compliance, auditability, and data protection.

Semantic Layer

A shared business logic layer that ensures every AI model and workflow speaks the same language.

semantic.yml
# Your data, described in business terms
tables:
  - name: orders
    columns:
      - name: rev_amt
        business_name: "Revenue"
      - name: cust_id
        business_name: "Customer"
      - name: status
        business_name: "Order Status"

metrics:
  - name: mrr
    business_name: "Monthly Recurring Revenue"
    sql: "SUM(rev_amt) WHERE type = 'recurring'"
  - name: avg_order_value
    business_name: "Average Order Value"
    sql: "SUM(rev_amt) / COUNT(order_id)"