Digital Transformation

IT Integration & Cloud Migration

Seamless connection of ERP, MES, SCADA, and cloud systems. API-based integration, data platform build-out, and Azure cloud migration - for efficient data flow between legacy and new systems.

REST/GraphQLAPI standards

Azurecloud platform

99.9%uptime SLA

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Our Services

System Integration at Every Level

From the shop floor to the cloud - connecting all critical systems and ensuring free, secure data flow across the enterprise.

ERP/MES System Integration

Connecting SAP, Microsoft Dynamics, Infor, and custom MES systems with OT-layer data. Real-time production data in ERP, automated material movements, and production planning.

SAP S/4HANADynamics 365ISA-95

Azure Cloud Migration

Phased migration of on-premise infrastructure to Azure. Infrastructure as Code (IaC) on Terraform, CI/CD pipelines, auto-scaling, and cost optimization. Hybrid and full-cloud models.

AzureTerraformCI/CD

API Gateway & Integration

Enterprise API management platform (Azure API Management, Kong) deployment. REST, GraphQL, and event-driven architectures. API-enabling legacy systems, versioning, and rate limiting.

REST APIGraphQLEvent-driven

Industrial Data Platform

Time-series data (InfluxDB, Azure Data Explorer), relational data, and documents on a unified data platform. Data lakehouse architecture, data catalog, master data management.

Data LakehouseInfluxDBADX

Middleware & ESB

Enterprise Service Bus and middleware solutions for complex, multi-system environments. Message transformation, routing, retry logic, and dead-letter handling. MuleSoft, Azure Service Bus integration.

MuleSoftService BusESB

DevOps & Operations

Kubernetes-based containerization, automated deployment pipelines, monitoring (Prometheus, Grafana), and log aggregation (ELK stack). 24/7 SLA-backed managed operations service.

KubernetesDockerPrometheus

Implementation

Integration in 4 Phases

Discovery & Mapping

Mapping existing systems, data flows, and integration points. Data quality assessment, interface documentation, and integration architecture plan.

Architecture Design

Defining target architecture: hub-and-spoke vs. point-to-point vs. event mesh. Technology selection, security model, and SLA definitions.

Iterative Development

2-week sprints, system by system. Develop → test → staging → production. Parallel running during cutover to minimize risk.

Operations & Evolution

Monitoring, alerting, capacity planning, and continuous improvement. Quarterly architecture review aligned with changing business needs.

Technologies

Proven Technology Stack

Microsoft AzureAzure API ManagementAzure Service BusAzure Data FactoryAzure Data ExplorerSAP S/4HANAMicrosoft Dynamics 365MuleSoftApache KafkaREST / GraphQLTerraformKubernetesDockerPrometheus + GrafanaELK StackInfluxDB

Connect Your Systems - No Commitment

Free IT integration assessment - we'll show where the bottlenecks are and how existing data can be used more effectively.

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