Wave Tech
Engineering
AI into operation.
Multidisciplinary engineering teams built to deploy AI in complex environments.
The engineering side of Wave Group.
Wave Tech is the systems engineering and AI delivery division of Wave Group. We design, integrate and deploy the software, AI and infrastructure behind complex operational systems.
Our work connects models, data, applications and existing technology into dependable environments built for real organisational use.
About Wave TechHow we engineer systems that have to perform.
We work from the operation outward, defining the architecture and bringing software, AI, data and infrastructure together into one coherent system.
01
Define
Operation · Data · Requirements
We map the workflows, data, integrations and constraints already in place, then set the system boundaries around them.
02
Architect & Build
APIs · Backend · AI · Agents
We design backend services, APIs, data pipelines and, where AI belongs, LLM APIs and agent orchestration as one architecture.
03
Deploy & Integrate
Environments · Access
We connect the system into existing platforms and data sources, with the environments and access controls around it.
04
Operate & Scale
Reliability · Performance
We keep the architecture evolving as data volumes, integrations, users and AI workloads grow.
Four engineering disciplines brought together around the system, not treated as separate services.
Enterprise Systems Engineering
Architecture, backend systems, APIs and integrations designed around complex operations.
AI Infrastructure
LLMs, model APIs and multi-agent systems connected into real operational workflows.
Data & Intelligence Engineering
Pipelines, processing, NLP and analytical layers that turn distributed data into usable intelligence.
Cloud & Platform Engineering
Cloud environments, security, deployment and reliability for systems that have to keep running.
Built and ready for real-world use.
A portfolio of Wave-owned products designed to move quickly into real organisational use, with an existing technical foundation that can be configured and adapted around specific operational needs.
Complex systems, engineered around real operations.
Our work spans AI infrastructure, financial platforms and high-volume data environments where architecture, integration, reliability and operational continuity matter as much as the interface itself.
AI Infrastructure
Agents · Orchestration · Multi-source data
Multi-agent systems built around complex workflows.
AI systems that coordinate multiple agents, combine information from several sources and carry human review inside the wider architecture.
Crisis Intelligence Agent · Books By People
Financial Systems
Backoffice · Transactions · Analytics · Ledger
Architecture for operations where accuracy and control matter.
Backoffice architecture, external market data, analytical layers and blockchain-ready infrastructure, built around operational rules rather than features.
Private Investment Fund · Spend
Big Data Engineering
APIs · Ingestion · Synchronisation · Reliability
Engineering data flows that have to remain dependable.
External APIs, synchronisation, backend reliability and reporting consistency across large volumes of advertising, campaign and lead data.
Parallax
Have a system that has to work?
Bring the operation, the architecture problem or the system that needs to change. We can define the technical path and take responsibility from there.