Pipelines, reporting and AI from one team on your cloud or ours.
One team, three disciplines
Pipelines, dashboards and AI usually come from three vendors. We cover all three, so your models and your reports read the same numbers.
1
Data Engineering
Pipelines, lakehouses and governance that hold up under real volume.
2
Data Analytics
Power BI done properly one set of definitions, reports people open twice.
3
Data Science
GenAI, agents, vision and forecasting shipped to production.
Clean it once, serve it to everyone. Built in house or on GCP, AWS and Azure.
Google Cloud
BigQuery · Cloud Storage · Dataflow · Pub/Sub · Datastream · Dataplex · Vertex AI
Amazon Web Services
Redshift · S3 · Glue · Kinesis · DMS · Lake Formation · SageMaker
Microsoft Azure
Fabric · OneLake · Data Factory · Synapse · Databricks · Purview
Data Analytics
We fix the model underneath first, then build reporting on top of it in Power BI.
Dashboards & reporting
Executive dashboards · Operational reporting · Self-service BI · Embedded analytics · Mobile reporting.
Semantic & metrics layer
Certified datasets · Metric standardization · DAX & model design · Performance tuning · Row-level security.
Analytics by domain
Sales & distribution · Marketing · Supply chain · Manufacturing · Finance · Logistics.
Data Science
Built on the governed foundation underneath, monitored after launch.
Generative AI
Agentic AI
Computer vision
Predictive & prescriptive
AR, VR & Immersive experience
Interactive dashboards
MLOps
Responsible AI & Governance
Where requirements conflict or volumes are unknown, we say so before building.
Discover
Map sources, volumes and the decision to support.
Design
Architecture, cost model and a scope that names what is out.
Build
Phased delivery, something usable at the end of each.
