Technologies
The platforms we build on.
We meet you on the stack you already run—and connect it end to end, from source systems and transformation to governed semantic models, reports, automation and AI.
Copilot & AI agents
Assistants and agents that answer questions, draft documents and take action on governed data, within your security model.
Our AI servicesWhat we do with AI
- Copilot Studio agents and multi-agent orchestration
- Copilot in Power BI and Microsoft Fabric data agents
- Generative AI applications on Azure OpenAI and Claude models
- Model Context Protocol (MCP) integrations with enterprise tools
- Evaluation sets, guardrails and monitoring
Microsoft Fabric
One SaaS platform for data engineering, warehousing, real-time analytics and Power BI, on a single copy of data in OneLake.
Our Fabric servicesWhat we do on Fabric
- Lakehouse and warehouse design with a medallion architecture
- Data Factory pipelines and Dataflows Gen2, monitored and alerted
- Direct Lake and import semantic models for Power BI
- Git integration, deployment pipelines and capacity governance
- Migrations from Power BI Premium, Dataflows Gen1 and Azure Synapse
Power BI
The reporting layer where most business decisions are made—fast, consistent and secure when the semantic model is right.
Our Power BI servicesWhat we do on Power BI
- Enterprise semantic models with DAX and calculation groups
- Row-level and object-level security keyed to Microsoft Entra ID
- Executive reporting to IBCS standards
- PBIP, PBIR and TMDL version control with automated deployment
- Governance, certified datasets and usage monitoring
Power Platform
Power Apps, Power Automate and Dataverse—low-code apps, workflows and RPA that let operations teams digitize at speed.
Intelligent automation & RPAWhat we do on Power Platform
- Canvas and model-driven apps on Dataverse
- Cloud flows, approvals and desktop flows (RPA)
- AI Builder document processing and process mining
- Environment strategy, security roles and DLP policies
- Application lifecycle management with Azure DevOps
Azure
The cloud services that move, secure and serve data—and host AI—around your analytics platform.
Our data engineering servicesWhat we do on Azure
- Azure Data Factory pipelines and Azure SQL data models
- Azure Functions and Logic Apps for integration and automation
- Azure OpenAI, Azure AI Search and Document Intelligence
- Azure DevOps CI/CD for data, models and reports
- Microsoft Entra ID groups and identities for secure access
Databricks
A lakehouse for large-scale data engineering, analytics and AI, governed through Unity Catalog.
Our data engineering servicesWhat we do on Databricks
- Lakehouse engineering with bronze, silver and gold layers
- Unity Catalog governance and SQL warehouses
- Power BI models on Databricks, reconciled to source
- Natural-language analytics with Genie spaces
Snowflake
A cloud data platform for warehousing and data sharing. We design Snowflake models that serve Power BI and AI well.
Our data engineering servicesWhat we do on Snowflake
- Dimensional data models and curated marts for reporting
- ELT pipelines and transformation with dbt
- Power BI on Snowflake: import and DirectQuery design and tuning
- Role-based access aligned with Power BI security
- Warehouse sizing and cost monitoring
dbt
SQL-based transformation with software-engineering discipline: version control, tests and documentation built in.
Our data engineering servicesWhat we do with dbt
- Modular staging, intermediate and mart models
- Schema and data tests that catch problems before reports do
- Documentation and lineage your team can browse
- Incremental models for large, fast-growing tables
- dbt on Snowflake, Databricks and Microsoft Fabric, with CI/CD
Tableau
Many organizations run Tableau alongside Power BI, or are consolidating onto one platform. We support both paths.
Plan a migrationWhat we do with Tableau
- Tableau-to-Power BI migration: inventory, prioritization and rebuild
- Calculation and data-source mapping to semantic models
- Side-by-side reconciliation before cut-over
- User training and adoption plans
- Coexistence on shared, governed data sources
Salesforce
CRM data drives demand, pipeline and customer analytics—when it is integrated with the rest of the business.
Our data engineering servicesWhat we do with Salesforce
- Salesforce data integration into Fabric, Databricks or Snowflake
- Incremental loads with hard-delete and schema-change handling
- Funnel, pipeline and campaign analytics in Power BI
- Joining CRM data with finance and operations for end-to-end views
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