LoweLabs
Data + AI lab · 001

Build your Future.

Collaboratively define, design and build Data + AI Products that Delight Customers, Improve decisions and optimise performance.

Bring us a hard problem ↗

Strategy → Product → Data → AI → Engineering → Governance → Scale →   Strategy → Product → Data → AI → Engineering → Governance → Scale →

01 / Why LoweLabs

Outcomes. Not pilots. Strategy that works.

With over 25 years of experience, we're building something exciting. Combining our experience developing high performing organisations with the very latest technology we are helping to define what's possible. We want to challenge you, and supersize your ambition by showing you how to scale your ambition with AI!

02 / What we bring
View all capabilities

Experience. Results.

Engage with our team to collaborate on your end-to-end product journey, or leaverage our expertise by embedding it where you need it most.

01

AI Product Strategy & Design

Use-case discovery, product strategy, service design and prototyping.

02

Applications & Agents

GenAI apps, copilots, agents, RAG, evaluation and guardrails.

03

Data Products & Platforms

Trusted foundations, data products, analytics engineering and governance.

04

Decision Intelligence

Predictive models, optimisation, next-best-action and decision services.

05

AI Assurance & Governance

Privacy, model risk, controls, traceability and responsible AI.

06

AI Enablement & Operating Model

Operating model, capability uplift, vendor strategy and portfolio governance.

03 / Accelerators + products
View all products

Start ahead. Not from scratch.

Reusable LoweLabs IP that compresses the path from an important problem to a working solution. Use it as-is, configure it, or make it the foundation of a tailored product build.

01Data product

B2B Intelligence

Synthetic segments for customer and business profiles designed for Australian organisations.

Australian market · Synthetic data · Customer · Business

02Accelerator

Customer 360 Accelerator

A reusable starting point for bringing fragmented customer data together into an actionable view.

Customer 360 · Data model · Identity · Activation

03Framework

AI Agent Ops Framework

The operating controls needed to move agents from experiments into dependable business workflows.

AgentOps · Evaluation · Observability · Controls

04Tools

Regulatory Planning.

Rapidly identify where data and AI initiatives may have material regulatory, privacy or governance gaps.

Readiness · Privacy · AI governance · Evidence

04 / Ways to start

Frame. Start. Prove. Scale.

2 weeks

Get Started

Prioritise customer and performance opportunities and define the first buildable bet.

4–6 weeks

Prototype

Build a working prototype with users and real data to test value and risk.

8–12+ weeks

Build

Take the strongest idea to production with product, data, AI and engineering.

Flexible

Expert Pod

Add focused senior capability to an existing team when it matters most.

05 / Sample experience
View all work
01 / Financial Services

Next-best-action engine

Combine behavioural signals, decision logic and experimentation to improve relevance.

02 / Telco

Customer Segmentation

Developed new customer segments, triggering the re-design of GTM / Channel Strategy.

03 / Operations

AI operations automation

Use operational data, knowledge and agents to identify exceptions and recommend action.

05.5 / How we work

Built together. Made to last.

Start with the outcome

Customer and business value decide what gets built.

Build with users

Prototype early and let evidence shape the product.

Design for production

Architecture, controls and economics start on day one.

Leave capability behind

Build alongside client teams so they get stronger.

06 / Technology ecosystem
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