flowmoco

Flowmoco is a technology services firm offering software development, data engineering and cloud architecture. The organisation provides technical delivery and managed support to enterprise clients. Headquarters country: United Kingdom (inferred from project locations and regional references). Regions of operation include Europe and global clients in the payments and telecommunications sectors as indicated by case projects.

Services and Capabilities

• Web and mobile application development — delivery of front-end and hybrid applications for iOS, Android and web platforms.
• Data engineering and analytics — design and deployment of data platforms, big data processing pipelines, data quality verification and analytics workflows.
• Backend systems integration — connecting data-rich backends to diverse enterprise systems, including legacy hosts such as IBM AS/400.
• Cloud architecture and infrastructure — architecture and deployment of secure, resilient hosting environments including private cloud and Kubernetes-based deployments.
• API design and low-code integration — construction of API-driven integration engines and low-code platforms to connect multiple data sources and services.
• Operational support and knowledge transfer — ongoing support SLAs and training for client internal teams to manage delivered systems.

Industry Focus

• Payments and financial services — integration with payment systems, pricing engines and transaction processing platforms.
• Telecommunications — invoice verification and large-scale billing data validation for telco operators.
• Public safety and local services — mobile platform providing coastal safety, tide and weather information for regional users.
• Nonprofit and events — global support application connecting personnel for a foundation serving military sports events.

Technology and Delivery Approach

• Systems integration — connecting legacy hosts (for example IBM AS/400) with modern backends and cloud services.
• Data platforms and pipelines — continuous processing of large datasets for verification, analytics and reporting.
• Cloud-native deployment — use of container orchestration (Kubernetes), managed private cloud and secure hosting configurations.
• Automation and APIs — API-driven integration layers and low-code engines to automate data flows between systems.
• Delivery practices — architecture-led design, followed by implementation and either handover with training or provision of support SLAs for ongoing operations.