Artist Partners is an Australian data and AI engineering firm. We design and build the systems that make data useful — platforms, models, semantic layers and the software on top of them — working inside our clients’ teams.

Past clients

Capral
Dexus
Telstra
Westpac
Suncorp
Bunnings
Foxtel
Shaw and Partners
Savills
Melbourne Airport
Sydney Theatre Company
Redkite
Foyer Foundation
Zeus Street Greek
Lucas Collective

What we do

We design the system. Then we build it.

Four capabilities, drawn from what we have shipped.

01

Data platforms
and engineering

The foundation everything else runs on.

Databricks and Unity Catalog. Medallion architectures. Ingestion from the systems that run a business — SAP, plant MES, CRM, ad platforms. Terraform, OIDC and CI/CD, so the platform is reproducible.

02

Applied machine
learning

Measured against the method it replaces.

We establish the baseline first, then build against it. For Capral we replicated the existing rule-based estimate across historical orders before training anything, so the comparison held.

03

Semantic layers
and measurement

So the business can ask its own questions.

Connecting activity to outcome across dozens of systems, then modelling it so someone who does not write SQL can ask a question in English and get a reliable answer.

04

Product
engineering

Software we design, build and run.

Multi-tenant platforms, conversational interfaces, agentic workflows. We built ANAMA and we operate it, which keeps us close to the cost of the decisions we recommend.

Selected work

AI/ML use cases we have
designed and built.

Aluminium extrusion billets stacked against open sky

Capral · ASX:CAA

Predicting when an order will arrive

SAP ECC order data joined to plant MES telemetry on Databricks, with features engineered under point-in-time discipline and results measured against the rule-based method it replaced.

31%Lower date error
+14ptDIFOT
4Systems joined

Read the case study

The public ground plane at Atlassian Central, a Dexus development in Sydney

Dexus · ASX:DXS

One measurement spine across fifty-two systems

Three legacy design references held 343 component-level tracking requirements. We consolidated them into 44 business measures across 26 properties, then built a semantic layer that lets marketing teams query it in plain English.

343→44Measures
52Systems connected
26Properties
A trading floor, treated black and white

Shaw & Partners

A daily market brief, built by a pipeline

A 7:00am market summary that was assembled by hand each morning, rebuilt as a Databricks pipeline. An analyst reviews and approves every draft before it sends.

90minAnalyst time returned daily
06:30Draft ready for review
100%Human approved
ANAMA, a field of connected points, treated black and white

ANAMA · Our own platform

The platform we built and run

A marketing intelligence platform we designed, built and operate. We carry its on-call and its migrations, which is the closest thing to a reference we can offer.

40+Venues live
18Source connectors
3Markets

How we work

Our engineers work inside your team.

We work where the work is.

Our people join your standups, your repositories and, when it matters, your factory floor. On the Capral engagement we spent time at Penrith, Bremer Park and Campbellfield before designing a single feature.

We are a team of builders.

Our deliverables are repositories, pipelines, models and running software. We write a document when a document is the clearest way to explain something.

Senior people do the work.

The people who scope your engagement are the people who write the code. Our CTO is completing a PhD in statistics. Our Head of AI holds two AI patents.

We build capability as we go.

We work inside your platform and your repositories, using patterns your team can extend. Capral’s SAP extraction pattern was designed for reuse across their wider Databricks programme.

We agree what success means up front.

Every phase is gated, and the first one is free. Before a build starts we agree the evaluation dataset, the baseline calculation and the success threshold in writing.

Partners

We partner where it changes what we can build.

Databricks
Anthropic
Microsoft
Adobe