Selected work

Built from real-world challenges.

A selection of systems Wave Tech has taken from complex requirements and early-stage ideas through architecture, engineering and into scalable real-world use across AI, data, fintech and digital infrastructure.

AI infrastructure

Crisis Intelligence Agent

Multi-source AI monitoring and proactive crisis alerts

From scattered signals to early crisis awareness.

Wave designed and built an AI intelligence agent that continuously brings together information from multiple sources, interprets developments in context and identifies situations that may require immediate attention.

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The project started from the need to reduce the time between an important event emerging and the right people understanding why it matters.

Rather than creating another passive monitoring tool, Wave built an always-on intelligence layer that evaluates incoming signals and proactively surfaces potential crises, anomalies and important developments. Relevant context can then be delivered directly through channels such as WhatsApp, helping teams recognise situations earlier and respond faster.

AI Agents · Multi-Source Intelligence · Crisis Monitoring · Proactive Alerting

Books By People

AI infrastructure for digital certification

From a certification model to AI infrastructure.

Books By People started with a new certification model that required a technical foundation capable of supporting much more than a conventional publishing workflow.

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Wave translated that concept into product architecture and a scalable platform designed around the way certification needs to operate in the real world.

At the centre of the platform is an analysis layer Wave developed in-house, bringing structured process, submitted evidence and AI-assisted assessment together in one auditable environment. The system is long-term digital infrastructure for publishers, contributors and reviewers, and what began as a certification concept is now the platform behind a broader publishing ecosystem.

AI Infrastructure · Platform Engineering · Certification Systems · Workflow Architecture

Research and strategy

Opinion Intelligence

Public opinion intelligence for an undisclosed telco client

Understanding public reaction before acting.

Wave applied Opinion Intelligence in a telco context to turn large volumes of public discourse into structured intelligence around a high-impact commercial decision.

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The work was designed around understanding how audiences may react to pricing, value propositions and communication before those decisions become part of the wider public narrative.

The approach combines broader public-opinion analysis with controlled narrative testing, allowing different strategic directions to be evaluated against real audience signals. Instead of relying only on assumptions or retrospective research, the system creates an evidence layer around sentiment, emotional triggers and likely reception before action is taken.

Opinion Intelligence · AI · Public Opinion · Decision Intelligence

The Opinion Intelligence analysis workspace: a chat history of classified stories beside the upload panel, analysis mode and audience targeting controls, with the total comments analysed shown alongside.
Financial systems

Private Investment Fund Backoffice

With a multi-agent AI intelligence layer

From investment operations to AI-assisted decision infrastructure.

Wave built the digital operating foundation for a private investment fund, combining a purpose-built backoffice system with an independent AI intelligence layer.

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The work spans product definition, architecture, engineering and integration, creating a scalable environment where the fund’s operational data and external market intelligence can work together.

Alongside the core platform, Wave built a multi-agent analytical system that brings together market, fundamental, news, sentiment and macroeconomic information. Specialised AI agents analyse that information from different investment perspectives, while a central orchestration layer synthesises signals, risk assessments and recommendations for human review, extending the backoffice from an operational system into a broader decision-support infrastructure.

Investment Technology · Multi-Agent AI · Data Intelligence · Risk Analysis

Spend

AI and blockchain-ready financial infrastructure

From financial strategy to production-grade fintech infrastructure.

Wave led the business modelling, technical architecture and system development behind a financial ecosystem designed for global fintech operations.

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The engagement started at the structural level, defining how the business model, transaction flows and technology should work together, before moving into engineering and production architecture.

The result is a scalable financial infrastructure designed around secure transaction processing, integration-ready architecture and blockchain capability built into the wider system from the beginning. The project demonstrates Wave’s ability to take a complex financial concept from modelling and architecture through to production-oriented technology.

Fintech · Blockchain · Architecture · Platform Engineering

Big data

Parallax

Big data infrastructure for performance marketing

Turning high-volume advertising data into dependable intelligence.

Wave worked on Parallax as a data-intensive product where reliability depends on far more than the interface users see.

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We strengthened the technical foundation behind the platform so large volumes of advertising, campaign and lead information could move through the system continuously and remain dependable under real production conditions.

The engagement grew into work across data architecture, external integrations, synchronization, backend reliability and reporting consistency. The result is a stronger big-data foundation designed to continue operating as accounts, sources, data volumes and analytical requirements grow.

Big Data · Data Engineering · Integrations · Platform Reliability

The Parallax campaign dashboard on a laptop: submission growth over time, creative CTR and campaign performance, with audience insight and top-performing creative cards around it.
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Complex architecture, AI infrastructure, data integration or a system that has reached its limits. We can start with the technical problem and work outward from there.