The division that builds and operates.
Wave Tech is the systems engineering side of Wave Group. Wave Tech takes responsibility for what follows: architecture, engineering, deployment and the operation of the system in production.
Explore how we workBuilt for systems that carry real operations.
We bring together software architecture, AI engineering, data and infrastructure to solve problems where multiple systems, workflows and sources of information have to operate as one.
Our role goes beyond application development. We define the architecture, connect models and services, engineer the software around them and establish the infrastructure needed for the system to remain reliable as the organisation uses and evolves it.
- Part of
- Wave Group
- Working from
- Skopje · Belgrade
From operational complexity to systems built for production.
We take complex requirements, existing systems and operational constraints and turn them into architecture, engineered software, deployment and ongoing operation.
Understand
The operation behind the requirement
We start with the operation: users, workflows, existing systems, data, constraints and the failure points that actually matter.
Define
What the system has to do
We turn the problem into clear system boundaries, requirements, priorities and the technical constraints that will shape the build.
Architect
The system before the code
We design service boundaries, data models, APIs, integrations, security boundaries and where AI, models or agents belong when they are part of the solution.
Build
Engineer the system
Backend services, integrations, data pipelines and AI components are engineered together around the architecture, with working software validated early.
Validate
Test under real conditions
We validate behaviour with real users, representative data, edge cases and the failure scenarios that matter before production.
Deploy
Production infrastructure
We prepare environments, release paths, access controls and infrastructure so the system can move into production reliably and safely.
Operate & evolve
Reliability after launch
We maintain and evolve the system as load, data, integrations and operational requirements change.
Engineering the systems behind the operation.
We bring together software architecture, AI systems, data engineering and infrastructure to solve technically demanding operational problems.
Enterprise Systems Engineering
Architecture for software that carries complex operations.
We design backend systems, service boundaries, APIs and integrations around how the organisation actually works.
- System architecture
- Backend engineering
- API & integration architecture
- System modernisation
AI Systems & Infrastructure
Models, agents and tools engineered into real workflows.
We design LLM-based and multi-agent systems that connect models, tools, data and human decision-making as part of the wider system.
- LLM & model APIs
- Multi-agent systems
- Agent orchestration
- Human-in-the-loop AI
Data & Intelligence Engineering
Infrastructure for turning complex data into usable intelligence.
We engineer ingestion, processing, synchronisation and analytical layers for systems that depend on large or distributed data sources.
- Data pipelines
- NLP & machine learning
- Data synchronisation
- Decision intelligence
Cloud, Security & Platform Engineering
The technical foundation systems depend on.
We design cloud environments, deployment architecture, access controls and reliability as part of the wider system.
- Cloud architecture
- Deployment environments
- Security & access
- Reliability & scale
Start where you are.
Come with a defined system, an architecture problem or a capability gap inside an existing engineering team. We can take responsibility from the point where you need us.
Defined system
You know what needs to be engineered.
We take responsibility for the architecture, engineering and integration required to carry the system forward.
Problem-led
You know what needs to change.
We work from the operation backwards, defining the system, boundaries and technical approach before unnecessary complexity is introduced.
Specialist capability
You need deeper expertise inside an existing team.
We work alongside internal engineering teams where architecture, AI, data or infrastructure capability is needed for a specific technical challenge.
The outcome
One accountable engineering path.
Different starting points. Clear technical ownership.
Start where the technical problem gets difficult.
Come with a defined system, an architecture challenge or a problem that still needs shaping. We can enter at the point where deeper engineering responsibility is needed.