Your data has
a pulse.
We find it.

We don't build prototypes. Every system we ship runs in production monitored, documented and ready to scale.

Every engagement is scoped and priced before we start. No hourly billing, no scope creep. You know exactly what you're getting.

You deal directly with AWS L6 pedigree technical leadership not a junior team managed from a distance.

Every engagement starts with a discovery audit. Low risk, fast results, real proof before any major commitment.

We select the right tool for your problem, team, and budget. AWS or GCP, Databricks or Snowflake we meet you where you are.

Managed retainers keep your systems sharp models retrained, pipelines monitored, outcomes improving month on month.

Data Foundation

For businesses whose data isn't ready for AI.

• Modern data warehouse and lakehouse design
• Automated data pipelines and ingestion
• Data governance, quality and lineage
• BI and self serve analytics foundation
• The platform that makes all future AI workloads possible

AI Driven ROI

For businesses ready to monetise their data.

• AI agents that automate manual processes from end to end
• Customer churn prediction and retention models
• Marketing AI and intelligent audience targeting
• Predictive analytics and next best action engines
• Analytics automation and AI generated reporting

End to End Platforms

Our team brings hands-on experience building full data platforms from zero to production in under 9 months, including ingestion pipelines, feature stores and model serving with real-time analytics at sub-second query performance at scale.

Production Models

Our Technical Director built churn prediction, LTV modelling, recommendation engines and click-pricing models, all deployed to production. LLM Ops work at AWS automated 100+ manual processes at 10x productivity gains.

Multi Agent Systems

Our team has designed and shipped multi-agent systems for document processing, workflow automation and clinical transcription, with NLP, embeddings pipelines and search personalisation at scale.

WooliesX Scale

Our ML Lead built marketing mix models, predictive customer behaviour systems and audience targeting engines at WooliesX serving millions of customers, including graph neural network and ALS recommendation engines.

Fraud & Risk ML

Our ML Lead is a former Tech Lead at Block/Afterpay who built ML inference platforms at 200,000+ QPS, and deployed real-time ML into insurance quoting at Suncorp. The team includes a PhD in deep learning and a qualified actuary, a rare combination for FSI and insurance AI.

AI Driven Engineering

Our team has built AI agents that write, test and deploy data pipelines, significantly reducing manual engineering overhead. Repo-driven pipelines via Dagster with AI-accelerated development.

Start Small

Every engagement begins with a scoped discovery audit. Low risk, fast results, real proof before a larger commitment.

Fixed Price Always

We scope tightly and price fixed. No hourly billing, no surprises. You know exactly what you get before we start.

We Actually Build

Unlike strategy firms, we deliver working production systems. Our team architects and ships not just recommends.

Then We Stay

Post delivery managed retainers keep your systems sharp, models updated, and outcomes improving month on month.

Discovery Call

30 minutes. Honest assessment of where you are and what's possible.

Data Maturity Audit

Scored across 5 dimensions. Written report with dollar ROI estimate.

Fixed Price Build

Scoped, priced, and delivered to production. Cost agreed before we start.

Managed Retainer

Models retrained, pipelines monitored, outcomes improving over time.

Data Infrastructure

Is your data actually accessible?

Data Quality & Governance

Can you trust your data?

Analytics & BI Maturity

Are insights driving decisions?

AI / ML Readiness

Is your data ready for models?

People & Process

Does your team know how to use it?

Cloud Platform

AWS, GCP or Azure. We work with your existing cloud or help you choose based on total cost of ownership and team familiarity.

Data Warehouse

Snowflake, Databricks, BigQuery or ClickHouse, selected based on your query patterns, data volume, and budget requirements.

AI / LLM Layer

OpenAI, Anthropic, or open source (LLaMA, Mistral), chosen based on compliance requirements, latency needs, and cost model.

Orchestration

Airflow, Prefect, or dbt, selected based on your team's existing workflow, pipeline complexity, and operational maturity.

A decade of enterprise technology sales at Dell EMC and UiPath across Australia and New Zealand. Specialising in AI, automation, and data across FSI, healthcare, and enterprise operations.

Former AWS Data Science Manager L6 and WooliesX ML Lead. Architected platforms processing 10+ PB daily, implemented GenAI and LLMOps delivering 10× productivity gains, and built recommendation engines serving millions of customers.

Former Tech Lead at Block/Afterpay, building ML inference platforms at 200,000+ QPS. Qualified actuary and PhD in deep learning. Deployed fraud detection and real-time insurance ML at Suncorp, delivering multimillion-dollar business impact.