Keeping technical systems in operation

From concept to a working solution.

Digital requirements keep growing, while existing systems in mid-sized companies and the public sector have often evolved organically over years. Digitalisation and AI therefore operate under specific constraints: ongoing operations must not be disrupted, and decisions must be sustainable over the long term.

We support organisations in analysing requirements, data and existing architectures — creating a solid foundation for sound technical and strategic decisions. The result: solutions that work reliably, robust and adaptable, delivering real value in day-to-day operations.

Services overview → Integrating AI sensibly

Selected clients & project partners Since 2012 · Clients in Germany & Switzerland

What we do / 01

Technical foundations for systems that have to last.

Databases as a stable foundation

In business- and process-critical systems, databases directly determine stability, performance and scalability. Slow queries, growing data volumes or unsuitable data models quickly become operational risks.

Migration between database platforms, including to open systems
Targeted query, index and model optimisation
Separation of transactional and analytical workloads
Monitoring and observability of productive database systems

Outcome: performant, maintainable, operationally reliable database architectures.

POS and checkout systems as core systems

POS and checkout systems are not classic frontend applications but business- and process-critical core systems with strict requirements for stability, performance and standards compliance. Failures or inconsistencies have an immediate operational impact.

Integration of specialised hardware
Low-level components, drivers and protocols
Standardised interfaces
Consistent transaction processing

Focus: reliability, longevity and controlled extensibility.

Control, orchestration, integration

Modern systems rarely consist of a single application. In distributed and hardware-adjacent environments, components must interact precisely and transparently.

Time- and event-driven processes
Connected devices and subsystems
Transaction-oriented core systems
Integration of AI-supported decisions

Priority: determinism, traceability and system stability.

Complex media systems

Interactive exhibitions, trade fair installations and visitor centres place high demands on technology and conceptual design. Content, control and hardware must interact reliably under real-world conditions.

Architecture of static and dynamic content
Media and sensor orchestration
Indoor positioning (RTLS / BLE) for context-aware content
Peripheral integration: industrial cameras, barcode and QR code scanners
Administration and monitoring for long-term operation

Goal: maintainability and flexible content evolution across years.

Approach / 02

Technical decisions with operations in mind.

Digital systems in mid-sized companies and in the public sector are rarely new. They have evolved over many years, support business- and process-critical operations, and must run reliably under real-world conditions. Our way of working is shaped by this reality — we work with existing systems, not around them.

— 01

Understand what exists first

Productive systems, data flows and dependencies form the basis of every technical decision. Only once these are clearly understood can sustainable solutions emerge.

— 02

Stability before actionism

Ongoing operations take priority. We avoid uncontrolled interventions, short-term experiments and decisions that introduce long-term risk.

— 03

Step-by-step evolution

We evolve complex systems in a controlled and traceable way — without unnecessary breaks or radical transformations.

— 04

Technology follows the goal

We use technologies where they make sense technically, organisationally, in regulatory terms and in the long term — not because they are trending.

— 05

Transparent collaboration

We work closely with existing teams, make decisions traceable and communicate trade-offs openly.

— 06

From assessment to implementation

On request we also take on concrete software implementation — guided by the same principles. .NET and Java on the backend, Angular on the web.

Case studies / 03

How we make complex systems stable and usable.

Logistics

Evolution of business-critical custom software

A mid-sized logistics provider relies on custom software from online order to invoicing. BrixWare acts as a long-term technical partner — architecture, evolution and stable operation from one source.

Partnership long-term Role Architecture & operation

Case study →

Ticket vending

Technical support for complex systems

Hardware-adjacent development and service-based backend components in the relaunch of a high-traffic ticket vending ecosystem — embedded in operational and security concepts, without risk to overall stability.

Role Team partner Focus HW integration & services

Case study →

Museum & trade fair

Complex media systems in real-world operation

Media system architectures for exhibitions and visitor centres: orchestration of content, hardware and interactive components — including administration and monitoring for long-term operation.

Scale Multi-year installations Focus Integration & operation

Case study →

Product development

BrixWire — our own long-running product

With BrixWire we develop and operate our own software product for the publishing space. Working on our own system sharpens our sense for maintainability, operational safety and realistic evolution cycles.

Own product brixwire.com Operation continuous

Case study →

AI integration / 04

AI integration is not a model problem.

The models are available, the APIs stable. AI integration gets demanding where it actually takes place — in evolved system landscapes such as classic .NET or Java environments, and under regulatory frameworks like GDPR and the EU AI Act.

We help assess use cases, integrate AI into existing architectures and implement robust integration points — mindful of the technical and regulatory constraints involved. Productive systems remain in charge — AI complements them in a decoupled, explainable and switch-offable way.

Go to the topic page “AI integration” →

Company / 05