We make Databricks work for your business — faster, safer, and at lower cost:
- Optimised setup – cloud integration, security, and architecture designed for scale
- Reliable pipelines – data ingestion and transformation with Delta Live Tables and Autoloader
- Production-ready machine learning – model deployment, MLOps, and Feature Store governance
- Enablement – hands-on training and knowledge transfer so your team grows with the platform
Production-ready machine learning
From MLflow tracking to Feature Store governance, we help you deploy and manage machine learning models with full MLOps practices — reliable, repeatable, and governed.
- Deploy models with confidence – take models from notebooks into production with MLflow tracking, versioning, and serving
- Streamline feature management – build and share reusable features with the Feature Store, fully governed in Unity Catalog
- Establish MLOps best practices – automate training, testing, and deployment pipelines to ensure repeatability and compliance
Platform and architecture review
We provide a comprehensive review of your existing Databricks environment to identify risks, inefficiencies, and opportunities for improvement:
- Architecture & Security – assess workspace design, identity integration, and access controls
- Data & Pipeline Health – evaluate Delta tables, workflows, and resource efficiency
- Governance & Best Practices – check Unity Catalog setup, compliance, and MLOps readiness