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 Azure Azure API Management Azure Service Bus Azure Data Factory Azure Data Explorer SAP S/4HANA Microsoft Dynamics 365 MuleSoft Apache Kafka REST / GraphQL Terraform Kubernetes Docker Prometheus + Grafana ELK Stack InfluxDB

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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