Governance that follows the data
Unity Catalog gives every table, model, feature and file one permission model with lineage attached. When an agent retrieves data, you can show who was allowed to see it and where it came from.
PARTNERS | DATABRICKS
The data foundation your AI needs
Cloud Combinator builds and runs Databricks on AWS for teams whose AI ambitions have outgrown their data. Governed, unified, and ready for the agents you want to put on top.
Data + AI Platform
DATABRICKS PARTNERSHIP
What this partnership brings to your AI builds
The reason to care about a Lakehouse is what you can build on it. This is where the Databricks and AWS combination earns its keep.
One platform for the whole lifecycle
Feature engineering, training, fine tuning, evaluation and serving in the same place as the data, tracked in MLflow. No copying datasets into a separate ML environment and losing the audit trail on the way.
Retrieval that stays current
Vector search sits next to your live tables, so a knowledge assistant or research agent answers from today's data rather than a snapshot someone exported last quarter.
Best of both, not either or
We use Databricks for governed data, training and serving, and AWS Bedrock where a frontier model or an agent runtime is the better fit. Your architecture is picked on merit rather than on which logo we walked in with.
Explore related solutions:
Built with
- Databricks on AWS
- Unity Catalog
- MLflow
- Vector Search
- AWS Bedrock
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Case Studies | Healthcare & Life Sciences
Accelerating Medical Imaging AI with Amazon SageMaker HyperPod
Cloud Combinator re-architected Sinkove's training infrastructure on AWS, cutting model training time and compute costs while removing the scaling limits of in-house GPU clusters.
- Training time cut by up to 40%
- GPU capacity scaled without owning hardware
- NVIDIA Inception AWS credits extended for cost efficiency
Scaling for Super Bowl LX: How Cloud Combinator Partnered with Volta to Optimise Game Day
High-scale event optimisation using Cloud Combinator's AI and cloud solutions for a world-class Super Bowl experience.
- Handled 15,000+ concurrent executions on game day
- Zero downtime through peak Super Bowl traffic
- US-region deployment with sub-second fan responsiveness
Building with CentralNest: An AWS Foundation for AI-Powered Surveying
Cloud Combinator architected the AWS cloud foundation behind CentralNest's computer-vision platform for accurate house-removal quotes.
- Quotes generated in minutes with no home visit required
- Consolidated AWS billing and optimised spend through the Solution Provider Program
- Targeting a £1.4bn UK removals industry
CONTACT US
Ready to build the data foundation your AI needs?
Start with a focused 20-minute conversation about your data, AI and agentic system goals — no pressure, no commitment.
Why talk to us:
Databricks on AWS delivery
Governed data foundation
ML lifecycle and audit trail
AWS Bedrock where it fits best
Start with a focused 20-minute conversation about your goals — no pressure, no commitment.