What we build on AWS
We use the core AWS data and AI services to take you from scattered data to production-ready analytics and AI.
Data Lake on Amazon S3
Structured data lakes on S3 with AWS Glue catalogues, partitioning and governance that keep storage costs predictable.
Amazon Redshift Warehousing
Analytics warehouses modelled for fast reporting across sales, finance and operations.
Generative AI with Amazon Bedrock
Assistants and document-processing workflows using foundation models through Bedrock, grounded in your own data.
Machine Learning with SageMaker
Demand forecasting, churn and propensity models built, deployed and monitored on SageMaker.
Serverless Data Pipelines
Event-driven ingestion with Glue, Lambda and Step Functions that runs reliably without servers to manage.
Dashboards on QuickSight or Power BI
Business-facing dashboards connected directly to your AWS data, in the BI tool your teams prefer.
HOW WE APPROACH
Strategy to outcome, without the noise
Assess & Design
1
We map your data sources, reporting needs and AWS footprint, then design an architecture sized for your volumes and budget.
Build & Integrate
2
We build the data lake, pipelines, models and AI services in your AWS account, with IAM security and cost monitoring from day one.
Hand Over & Scale
3
We hand over infrastructure-as-code, documentation and runbooks so your team can operate and extend the platform.
INDUSTRY SOLUTIONS
Not generic AI. Domain-specific intelligence systems tuned for the metrics, data structures, and decisions that matter in your sector.
OTHER PLATFORMS
