Systems cannot exchange data directly
Two established systems need to exchange information but use incompatible structures, interfaces or data formats.
berNow Technologies builds the missing cloud layer between systems that cannot communicate cleanly. We connect source systems, transform and enrich data, support migrations and automate operational workflows around the process you actually run.
Our approach
Many organisations work with a mix of established software, specialist applications, partner platforms and legacy systems. The business process often depends on data moving between those systems, but the tools were not designed to exchange information cleanly. Our work starts there: understanding the operational gap before choosing the technical shape of the solution.
A typical berNow solution retrieves data from one or multiple source systems, converts formats, maps structures, applies business rules, enriches records with operational context and delivers prepared data to target applications, cloud services, machines or partner systems. The result is practical middleware that makes system-to-system data exchange reliable without forcing every process into a standard product.
Custom workflows can cover data integration, data transformation, data migration, legacy-system integration and business-process automation. Our custom software development focuses on the cloud applications and middleware needed to connect existing systems and automate specialised business processes.
Based near Berlin in Brandenburg, berNow Technologies develops specialised cloud integration and data-processing solutions for organisations with complex operational requirements.
Integration challenges
Custom integration projects usually start with an operational problem rather than a technology choice. These are typical situations where a dedicated cloud layer can make an existing system landscape work better.
Two established systems need to exchange information but use incompatible structures, interfaces or data formats.
Information has to be collected from multiple systems, validated, transformed and enriched before another application can use it.
An established system cannot or should not be replaced, but still needs to participate in modern cloud workflows.
Recurring exports, imports, spreadsheets or other manual hand-offs need to become reliable automated data flows.
Historical or operational data must be mapped, cleansed, transformed and validated before it can be moved into a new environment.
External data needs to be converted, checked or enriched before it can be used by internal operational applications.
Systems may expose useful interfaces, but no suitable off-the-shelf connector exists for the required process.
Employees currently move information manually between applications because no single system covers the complete operational workflow.
Service areas
Connect databases, exports, operational systems and partner data sources so information can move reliably.
Create a stable cloud layer between existing systems when direct integration is impractical or brittle.
Convert structures, formats and business rules so data becomes useful in the receiving environment.
Extend the useful life of established systems by connecting them to modern workflows and cloud applications.
Reduce repetitive hand-offs by turning system events and prepared data into operational actions.
Use berNow's application and hosting framework to start from proven building blocks instead of a blank page.
Project process
A Custom Cloud project turns the actual business process into a practical integration path, with enough structure to reduce risk and enough flexibility to fit the systems already in use.
We identify the systems involved, the information being exchanged and the operational outcome the process needs to achieve.
We define source and target systems, mappings, transformations, validation rules, dependencies and relevant edge cases.
We define interfaces, automation, error handling, monitoring, security requirements and the appropriate cloud architecture.
The solution is implemented using proven berNow framework components where appropriate and tested against realistic operational scenarios.
The integration is moved into production and can be extended as systems, data volumes or operational requirements change.
Why berNow
Specialised products
Recurring operational requirements have also led to specialised berNow SaaS products. They demonstrate how integration, data transformation and workflow automation can be applied to real industry-specific processes.
A brewery CRM and operations platform for customer communication, orders, stock, fulfilment, delivery and invoicing workflows.
Explore brewNow brewery software →Postal mail pickup planning and route optimisation based on practical participation, opening-hour, capacity and route-planning requirements.
Explore LaasNow mail pickup planning →Preparation of enriched postal sorting-machine data by combining address and planning data from multiple logistics systems.
Explore GaFoSio postal sorting integration →FAQ
Often, yes. The goal is frequently to connect existing systems rather than replace them. The practical options depend on what interfaces or data-access methods the systems provide.
No. Depending on the systems involved, integrations may use APIs, databases, files, exports and imports or other available interfaces.
Yes. Data migration can include mapping, transformation, cleansing, validation and controlled transfer into a new target environment.
Yes. Depending on the process, data flows can run continuously, on a schedule or in response to defined events.
Not necessarily. One of the main reasons for building middleware is to keep useful existing systems while creating the missing connection between them.
We start by understanding the operational process, involved systems, data flows and required outcome. From there we can define the interfaces, transformations, edge cases and a practical implementation approach.
Consultation
Tell us which systems need to exchange data and where the current process breaks down. We can map the workflow and outline a practical cloud integration approach.