Industries
Industry Expertise in AI & Data Services & Staffing
We don’t just deliver talent—we deliver industry-specific AI and data solutions that align with regulatory demands, operational realities, and future growth goals. Our teams combine technical expertise with deep sector knowledge to ensure your initiatives succeed from concept to scale.
Data & AI Modernization for Regulated & High-Scale Industries
We bring production-grade data and AI to Azure across regulated and high-scale industries—with security, MLOps, and FinOps from day one.
Healthcare
Outcomes:
Faster insights from EHR/claims, automated coding, reduced manual review
Reference workloads:
- FHIR data into Azure (FHIR Service → Data Lake → Synapse/Fabric)
- PHI de-identification using Azure Data Factory + custom ML
- Clinical notes NLP using Azure AI services & Azure OpenAI
- Secure data exchange across hospitals and partners
Guardrails:
HIPAA-aligned architectures, private endpoints, VNET isolation, Purview data governance.
Retail
Outcomes:
Better demand forecasting, higher conversion, fewer stockouts & returns
Reference workloads:
- Demand forecasting models on Azure ML
- Personalization & recommendations using Azure OpenAI and Cognitive Search
- Near-real-time ETL (Event Hubs, Stream Analytics, Data Factory) into Synapse/Fabric
- Power BI merchandising and margin dashboards
Guardrails:
FinOps cost controls, data governance, access policies via Entra ID & Purview.
Banking & Financial
Outcomes:
Real-time fraud detection, faster risk analytics, simpler regulatory reporting
Reference workloads:
- Streaming transactions (Event Hubs, Stream Analytics) into Synapse/Data Explorer
- Azure ML models for fraud, propensity, and churn
- Power BI for regulatory & risk dashboards
- Azure SQL Managed Instance and Cosmos DB for low-latency financial services
Guardrails:
Private Link, customer-managed keys, network isolation, strict RBAC and audit logs.
Manufacturing & Energy
Outcomes:
Higher asset uptime, optimized production, predictive maintenance
Reference workloads:
- IoT/telemetry ingestion (IoT Hub, Event Hubs)
- Time-series analytics with Azure Data Explorer and Synapse
- Predictive maintenance models in Azure ML and Azure AI Studio
- Geospatial analytics and digital twins
Guardrails:
Multi-region DR, service perimeters, performance and cost tuning.
Warehouse & Supply Chain
Outcomes:
- Faster fulfillment cycles
- Higher inventory accuracy
- Reduced labor costs
- Peak-season scalability
Reference workloads:
- Manhattan WMOS / Active WM implementation and go-live support
- WMS integration with SAP EWM, Oracle WMS, and 3PL systems
- AI-powered slotting, wave planning, and pick-path optimization
- Real-time inventory visibility using IoT sensors and Azure IoT Hub
- Labor management and engineered standards via LMS platforms
- Peak rush staffing and rapid scaling for Q4 and promotional events
Platforms Supported
Manhattan, Blue Yonder, SAP EWM, Oracle WMS, Körber
Guardrails:
- SOC 2 / ISO 27001 aligned data handling
- Change management frameworks for WMS go-lives
- Rollback and contingency planning for cutover weekends