Accelerating Enterprise AI and Analytics with Databricks.

Databricks Deployment Snapshot

20,000+

ORGANISATIONS

$5.4B

RUN RATE

65%+

YOY GROWTH

MODULES WE DEPLOY

Delta LakeMLflowUnity CatalogGenAI

Production AI on the lakehouse — financial risk modelling, demand forecasting, churn prediction, and supply chain optimisation.

KEY HIGHLIGHTS

Why enterprises standardise on Databricks.

Databricks' scale and platform depth, relevant to every enterprise data and AI platform evaluation.

20,000+ Organisations

60%+ of the Fortune 500 including adidas, AT&T, Mastercard, and Unilever

$5.4B Run Rate

65%+ year-over-year growth — one of the fastest-growing enterprise data platforms

Unified Architecture

Delta Lake, MLflow, and Unity Catalog in a single environment, eliminating tool sprawl

Production AI

Financial risk modelling, demand forecasting, churn prediction, and supply chain optimisation on the lakehouse

WHAT WE DELIVER

Four capabilities we build on Databricks.

Each capability represents a live practice area. GenXAI designs, implements, and sustains these Databricks solutions for enterprise clients.

Data Lakehouse Architecture and Engineering

We design and build the data lakehouse on Databricks, defining the ingestion layer, Delta Lake table structure, transformation logic, and consumption layer for BI and ML workloads, and build production-grade data ingestion, transformation, and orchestration pipelines using Delta Live Tables, Apache Spark, and Auto Loader.

Machine Learning and AI Engineering

We build, train, and deploy machine learning models on Databricks using MLflow for experiment tracking, model registry, and deployment management.

Enterprise Analytics and Data Governance

We configure Databricks SQL as the analytics serving layer, connecting Power BI, Tableau, and other BI tools to governed Delta Lake datasets, and implement Unity Catalog for enterprise data governance covering data lineage, access control, data classification, and compliance documentation.

GenAI and LLM Application Development

We build GenAI applications and LLM-powered workflows on Databricks using model serving, vector search, and AI Gateway capabilities.

FAQ

Frequently Asked Questions

Questions we hear often from data engineering and analytics leaders evaluating Databricks.

We implement data lakehouse architectures covering data engineering, machine learning, analytics, data governance (Unity Catalog), and GenAI application development.

We build demand forecasting, credit risk and fraud detection, customer churn prediction, predictive maintenance, pricing optimisation, and customer segmentation models.

START WITH THE RIGHT PARTNER

Ready to build your enterprise AI platform on Databricks?

Whether you are building a lakehouse from scratch, migrating from a legacy warehouse, or putting ML and GenAI into production, we can help.