Build smarter, faster enterprises with Azure AI
Established in 2004, we help organizations move from strategy to execution by delivering AI solutions that drive real business impact.
An Artificial Intelligence Company That Excels in Visual Recognition, Solving Real-World Problems for Businesses
Conch is your trusted Microsoft Azure AI & Data partner. We design, build, and operate modern data and AI platforms that turn ideas into production-ready solutions. From advanced analytics with Azure Synapse and Microsoft Fabric to AI innovation with Azure AI and Azure OpenAI, and real-time insights through Event Hubs and Azure Data Explorer—we deliver it all with security, MLOps, and FinOps built in.
Enterprise-grade Data & AI Solutions on Azure—designed for scale, security, and success.
- Modern Data Platforms
- AI & Generative AI Solutions
- Machine Learning at Scale
- Real-Time & Batch Data Integration
- Cloud-Native Applications
- Security, Governance & Cost Optimization
Everything you need to go live on Azure
Discovery & ROI
Current-state review, target Azure architecture, TCO/ROI view, delivery roadmap
Docs & Handover
Architecture diagrams, runbooks, SOPs, admin training, acceptance criteria, exit/handoff plan
Data Platform
Azure Data Lake Storage Gen2, Synapse / Fabric, governance & cost controls, Power BI setup
App Platform
AKS, Azure Container Apps, and App Service with CI/CD (GitHub Actions/Azure DevOps)
Transforming Industries With Intelligent AI Solutions
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
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.
All the Technology Your Business Needs
Azure Data Platform
- Governed Data Lake on ADLS Gen2 with Microsoft Purview for cataloging and lineage
- Synapse Analytics and Microsoft Fabric Lakehouse for enterprise analytics and warehousing
- Data transformation & modeling via Azure Data Factory, Synapse Pipelines, or Fabric Data Engineering
- Power BI semantic models and dashboards for business-ready insights
- Cost visibility & optimization using Azure Cost Management
Azure AI & Azure OpenAI (ML & GenAI)
- Azure ML pipelines with feature store patterns and model registry integrated into CI/CD
- Online & batch model serving via Managed Endpoints or AKS with monitoring, drift detection & rollback
- RAG patterns using Azure OpenAI, Azure AI Search, and vector indexes
- Responsible AI workflows, evaluation, grounding & human-in-the-loop
Streaming & Integration
- Near real-time ingestion with Event Hubs, IoT Hub, Stream Analytics
- Batch & CDC pipelines using Data Factory & Synapse Pipelines
- Quality checks, retries, DLQ, idempotency & replay patterns
- Schema evolution, contract testing & observability
App Modernization
- Microservices on AKS and Azure Container Apps with autoscaling
- API governance & developer portals using API Management
- CI/CD with GitHub Actions or Azure DevOps
- SLOs, error budgets & SRE best practices
Operational Databases
- Azure SQL Database / Managed Instance
- Cosmos DB for global scale and low latency
- Azure Database for PostgreSQL/MySQL
- Backup/DR strategy & performance tuning
Security & Governance
- Entra ID RBAC, PIM & Conditional Access
- Azure Policy, Blueprints & Defender for Cloud
- Key Vault, CMEK & secret management
- Purview for cataloging, lineage & DLP
Observability & FinOps
- Azure Monitor, Log Analytics, App Insights
- SLOs, DR tests & incident playbooks
- Budgets, alerts, Advisor insights, cost savings
- Outcome: Faster time-to-value, reduced costs, strong SLAs
Amazon Web Services (AWS)
Google Cloud
Microsoft Azure
IBM
Our Clients
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