Unify data, analytics and AI with Databricks

Databricks provides a lakehouse platform for data engineering, analytics, machine learning and AI. GoPomelo helps organizations design the architecture, integrate data and establish governance.

How we engage

What Databricks helps you do

Unify data and AI

Run engineering, analytics, machine learning, and AI on one governed foundation.

Build reliable data pipelines

Ingest, transform, and orchestrate batch and streaming data at scale.

Develop AI applications

Build, evaluate, deploy, and monitor models and agents on enterprise data.

Govern every data asset

Apply consistent discovery, lineage, access, and policy controls.

Why GoPomelo

Why GoPomelo

Platform Strategy

Define priority workloads, architecture, governance, and a phased adoption roadmap.

Data Engineering

Build repeatable pipelines and migrate workloads into a lakehouse architecture.

AI Delivery

Move models and agentic use cases from experimentation into governed production.

Operations & Enablement

Train teams and improve performance, cost, and platform standards over time.

How we work

4 stages from
kickoff to autonomy

One team from use-case discovery to rollout and
continuous improvement.

01/

Assess

Review data engineering, analytics, machine learning and AI workloads to define the implementation priorities.

01/

Assess

Review data engineering, analytics, machine learning and AI workloads to define the implementation priorities.

02/

Design

Define the lakehouse architecture, data products, access model and governance needed for trusted, scalable use.

02/

Design

Define the lakehouse architecture, data products, access model and governance needed for trusted, scalable use.

03/

Build

Build and validate pipelines, models, analytics and AI workloads across representative production scenarios.

03/

Build

Build and validate pipelines, models, analytics and AI workloads across representative production scenarios.

04/

Enable

Enable engineering and business teams, monitor reliability and usage, and extend the platform through governed data products.

04/

Enable

Enable engineering and business teams, monitor reliability and usage, and extend the platform through governed data products.

The next step

Ready to put Databricks to work?

Tell us what you want to improve. We’ll help define the right scope, implementation plan and next step.