Climb

Databricks Brickbuilder Partner Network

Production AI built
on the platform
enterprises trust

Climb is a Databricks-native AI consultancy. We help enterprises build, migrate, and scale on the Databricks Data Intelligence Platform - from lakehouse foundation to agentic AI in production.

Our Partnership

Here's why we chose Databricks from day one.

Climb was built for the agentic era, choosing Databricks for its unique ability to unify the data and AI layers. Every Climb engagement runs on the Databricks Data Intelligence Platform. Our delivery team is certified across core Databricks features. We are a specialized partner, dedicated to leveraging Databricks for fast, production-ready AI, rather than supporting multiple general platforms.

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What we build on

The full Databricks product surface

Lakehouse

One open platform for data, analytics, and AI. A single governed foundation instead of separate warehouses, lakes, and ML stacks.

Unity Catalog

Unified governance for every table, model, and AI asset, with fine-grained access, lineage, and audit across your entire data estate.

Lakebase

Postgres-compatible transactional databases built into the lakehouse, so your operational apps and AI agents run on the same governed data.

AI/BI Genie

Conversational analytics that lets business teams ask questions in plain language and get answers grounded in your governed data.

Databricks Apps

Secure data and AI applications built and deployed where your data already lives. Governance is inherited, with no new infrastructure to manage.

Lakewatch

Continuous observability for your data and AI that surfaces drift, quality issues, and pipeline failures before they reach dashboards or models.

Agent Bricks

Agent Bricks delivers auto-optimized, production-grade AI agents using your enterprise data, handling evaluation, tuning, and deployment without rebuilding.

Lakeflow

Declarative pipelines that manage their own quality, dependencies, and scheduling so your data arrives clean and AI-ready every time.

How it works

The Path to Production

  1. Week 1

    Scoped, Not Sold

    One call to map your Databricks footprint and identify the use case worth building first.

  2. Weeks 2–3

    Your Basecamp, Built

    Fixed scope. Defined deliverables. A team that has built this use case in your industry.

  3. Month 2

    Production, Not Pilot

    Your first production workload is live, governed through Unity Catalog, and delivering measurable business value.

  4. Month 3+

    Scale

    With production AI proven, we extend into new use cases and compound your platform investment.

Ready to putDatabricks to work?

Tell us where you are on the Databricks journey and we will tell you exactly what it takes to get to production AI this quarter.