AI & Digital Engineering — Melbourne

AI & Digital Engineering Consultancy
Modernise. Build. Ship.

We take mid-market businesses from legacy systems to production AI — modernisation, data infrastructure, intelligent software, and the data science to prove it works.

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AI Capabilities

AI that delivers outcomes, not demos

Production AI capabilities with real metrics from real deployments.

AI Agents & Orchestration

Multi-agent systems that plan, execute, and adapt complex workflows autonomously.

2,000 invoices/month at 97% accuracy

Computer Vision & Document AI

Image recognition, document extraction, quality inspection, and OCR pipelines.

50K docs/month, 8hr → 20min processing

LLM Integration & RAG

Retrieval-augmented generation over your data. Sourced answers, not hallucinations.

3x faster than manual search

Predictive Analytics

Forecast demand, detect anomalies, predict churn, and optimise operations with ML.

84% reduction in unplanned downtime

Conversational AI

Voice agents, chatbots, and copilots that handle real conversations with real users.

40% call reduction, 24/7 coverage

MLOps & Responsible AI

Monitoring, drift detection, guardrails, and governance for production AI systems.

Drift detected in 4hrs, auto-retrained

What we build

AI-native product capabilities from strategy through to production. One team, end to end.

AI Product Strategy

Most AI projects fail because they solve the wrong problem. We run structured discovery to find where AI creates real value in your business — then build the roadmap to get there.

AI Experience Design

AI features fail when users don’t trust them. We design human-AI interactions that are transparent, useful, and intuitive — from prompt interfaces to model output presentation.

AI-Native Mobile

Mobile apps with intelligence built in — on-device ML, real-time AI features, camera-based recognition, and smart notifications that learn from user behaviour.

AI-Powered Platforms

Web platforms with AI at the core — RAG systems, agent architectures, intelligent dashboards, and LLM-powered features that transform how your team and customers work.

AI Engineering

The core of what we do. Custom models, fine-tuning, evaluation pipelines, and production ML infrastructure — AI that works reliably at scale, not just in a notebook.

AI Operations

AI doesn’t end at deployment. We provide MLOps, model monitoring, drift detection, guardrail management, and responsible AI governance to keep your AI systems reliable.

Application Modernisation

Your legacy platform is the bottleneck. We migrate, re-platform, and decompose monoliths into modern, cloud-native architectures — building the foundation that makes AI possible down the line.

Data Infrastructure

Your data is the fuel for AI. We build the pipelines, warehousing, and governance that turn siloed, messy data into a strategic asset — the foundation that makes AI and analytics possible.

Infrastructure, Security & DevOps

Cloud architecture, CI/CD, security hardening, and monitoring. The foundation everything else runs on — from your applications to your AI systems.

Data Science & Analytics

Measurement is where most businesses fall short. We build the performance frameworks, predictive models, and BI infrastructure that prove what’s working — and what isn’t.

CTO Advisory

Fractional CTO capability for mid-market businesses. Technology strategy, architecture review, vendor evaluation, team structure, and modernisation planning — without the full-time hire.

Measured in outcomes, not effort

Real numbers from production AI systems we\u2019ve built and deployed.

Document AI

50K documents/month

8 hours → 20 minutes daily processing

AI pipeline that extracts structured data from contracts, invoices, and compliance documents with 99%+ accuracy.

Predictive ML

84% less downtime

72-hour failure prediction window

Sensor-data ML model predicting equipment failures before they happen. Deployed across 3 manufacturing facilities.

AI Agents

2,000 invoices/month

97% accuracy, fully autonomous

Multi-agent system that processes invoices, matches to POs, flags discrepancies, and drafts responses without human intervention.

Venture Studio

We build with AI ourselves.

Horizon Labs is also a venture studio. We build and run our own products alongside client work — AI-powered platforms, data infrastructure, content systems, and analytics tools. That hands-on experience with both AI and digital engineering shapes how we approach every client engagement.

AI in Our Own Stack

We run production AI systems internally — so we know what works, what breaks, and what matters when you’re the one on call at 3am.

Concept to Revenue

We take AI product ideas from validation through to revenue-generating products with real users and real data.

Practitioner Mindset

Every client engagement benefits from the operational experience we get building and running our own AI products.

Learn More

Engineers who ship

Horizon Labs is an AI and digital engineering consultancy. We started building custom software in 2018, went deep on AI as it moved into production, and now cover the full journey — modernisation, data infrastructure, AI, and measurement.

Our team works across application modernisation, cloud infrastructure, data pipelines, LLM-powered platforms, and intelligent automation. We bring the delivery experience of a mature consultancy with genuine, hands-on AI engineering depth.

Why teams choose us

End-to-end: modernisation, data infrastructure, AI, and measurement under one roof
AI engineering depth: custom models, fine-tuning, RAG, agents, and MLOps
Legacy modernisation: monolith to microservices, cloud-native, API-first
Data infrastructure: pipelines, warehousing, governance — the foundation AI needs
Your IP, your code — no platform lock-in, no vendor dependency
Melbourne-based with a bias toward shipping

Teams we’ve worked with

From enterprises to startups, we partner with teams building digital products and AI-powered solutions.

How we work

From discovery to scale. Working AI products every two weeks.

Discover

We map your workflows, data assets, and business goals to find where AI creates real value. Feasibility testing on your actual data — not theoretical potential.

Design

AI-native UX, model architecture, and evaluation criteria — designed together. We prototype with real AI outputs so you see exactly what users will experience.

Build

Two-week sprints. Working AI features every fortnight. Models with evaluation suites, monitoring, and guardrails — production-grade from the first deployment.

Operate

AI doesn’t end at launch. We monitor accuracy, detect drift, retrain models, and optimise costs. Your AI gets better over time, not worse.

Our AI stack

Model-agnostic. Framework-flexible. Production-grade.

Models

ClaudeGPT-4GeminiLlamaMistralWhisperCustom

Frameworks

LangChainLlamaIndexVercel AI SDKHugging FaceGuardrails AI

Infrastructure

PyTorchSageMakerPineconeW&BONNXMLflow

Evaluation

LangSmithCustom Eval SuitesA/B TestingRegression Tests

AI & Digital Engineering ConsultancyModernise. Build. Ship.