Lakehouse
One open platform for data, analytics, and AI. A single governed foundation instead of separate warehouses, lakes, and ML stacks.
Databricks Brickbuilder Partner Network
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
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.
Get started with our team
Book a Discovery CallWhat we build on
One open platform for data, analytics, and AI. A single governed foundation instead of separate warehouses, lakes, and ML stacks.
Unified governance for every table, model, and AI asset, with fine-grained access, lineage, and audit across your entire data estate.
Postgres-compatible transactional databases built into the lakehouse, so your operational apps and AI agents run on the same governed data.
Conversational analytics that lets business teams ask questions in plain language and get answers grounded in your governed data.
Secure data and AI applications built and deployed where your data already lives. Governance is inherited, with no new infrastructure to manage.
Continuous observability for your data and AI that surfaces drift, quality issues, and pipeline failures before they reach dashboards or models.
Agent Bricks delivers auto-optimized, production-grade AI agents using your enterprise data, handling evaluation, tuning, and deployment without rebuilding.
Declarative pipelines that manage their own quality, dependencies, and scheduling so your data arrives clean and AI-ready every time.
Industries we build for
Climb brings pre-mapped Databricks use cases tied to the workflows that move the needle in your industry - so your first engagement starts with a credible POV, not a blank whiteboard.
How it works
Week 1
One call to map your Databricks footprint and identify the use case worth building first.
Weeks 2–3
Fixed scope. Defined deliverables. A team that has built this use case in your industry.
Month 2
Your first production workload is live, governed through Unity Catalog, and delivering measurable business value.
Month 3+
With production AI proven, we extend into new use cases and compound your platform investment.
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.