Melbourne · Data · AI · Automation · Cloud

We turn complex data, technology and AI challenges into scalable, automated solutions

Graylocus Solutions is a Melbourne-based technology consultancy delivering enterprise data engineering, migration, cloud platforms, intelligent automation and AI — built for reliability at scale.

4T+
Rows processed
220TB+
Data platforms
80%+
Manual effort cut

What We Do

Five disciplines
01

Data

Migrations, pipelines and platforms engineered for trust and scale.

02

AI

LLMs, agents, RAG and fine-tuned models applied to real operations.

03

Automation

Workflows, integrations and CI/CD that remove manual effort.

04

Cloud

Cloud-native, serverless and secure infrastructure on AWS, Azure and GCP.

05

Analytics

Warehouses, models and BI that make insight fast and reliable.

Services

Consulting and engineering across the data and AI lifecycle

Eight practice areas, delivered by engineers who have run them inside large enterprise environments.

01

Data Migration & Modernisation

Move critical data off legacy systems without breaking the business.

  • Database, cloud and legacy modernisation
  • Oracle and SQL Server migrations
  • AWS DMS-based migration & data warehouse moves
  • Validation, reconciliation and near-real-time sync
02

Data Engineering & Data Platforms

Enterprise data platforms built with metadata-driven architecture.

  • Data lakes, warehouses and lakehouse platforms
  • Batch and real-time pipelines, ETL/ELT
  • Data modelling and integration at scale
  • Snowflake, Databricks, BigQuery, Redshift, Spark, dbt
03

Data Quality & Governance

Make data trustworthy, traceable and compliant by design.

  • Automated data quality frameworks and profiling
  • Lineage, classification and observability
  • PII detection and protection
  • Enterprise governance operating models
04

Automation Services

Remove repetitive work and make operations predictable.

  • Business process and data processing automation
  • API automation and automated testing
  • CI/CD and cloud infrastructure automation
  • Scheduled workflows and reporting automation
05

AI & Machine Learning

Applied AI that ships into production, not proofs of concept.

  • Model fine-tuning and custom AI solutions
  • Generative AI and LLM integration
  • NLP, vector search and RAG architectures
  • Machine learning pipelines and MLOps
06

AI Agents & Intelligent Workflows

Agentic workflows that read, decide and act — with an audit trail.

  • Classify information and extract structured data
  • Prioritise tasks and automate decisions
  • Trigger downstream workflows and notifications
  • Escalate exceptions with full auditability
07

Cloud & Data Infrastructure

Scalable, secure cloud foundations across AWS, Azure and GCP.

  • Serverless and cloud-native data architecture
  • Infrastructure as code and CI/CD pipelines
  • Cloud data security and cost efficiency
  • Resilient, scalable data infrastructure
08

Business Intelligence & Analytics

From warehouse design to dashboards leaders actually use.

  • Data warehouse design and dimensional modelling
  • Enterprise reporting and semantic layers
  • Power BI, Tableau and Qlik delivery
  • Analytics platform enablement

Technology expertise

A deep, current stack — not a logo wall

Filter by discipline to see the platforms and tools we design, build and operate with every day.

Cloud

AWSMicrosoft AzureGoogle Cloud Platform

Data Platforms

SnowflakeRedshiftBigQueryDatabricks

Data Engineering

PythonPySparkSparkTalenddbtAirflow

Databases

OracleSQL ServerPostgreSQLMySQLMongoDBGreenplum

AWS Services

S3DMSGlueLambdaStep FunctionsSNSSQSAthenaEMRRedshiftRDSECSFargate

AI

Generative AILLMsAI AgentsNLPRAGVector SearchModel Fine-tuning

DevOps

GitLab CI/CDAzure DevOpsTerraformDocker

BI & Analytics

Power BITableauQlik

Impact / results

Technology That Delivers Measurable Impact

Examples of outcomes achieved in previous engagements. Results depend on scope, data and environment — they are not a guarantee of the same outcome for every client.

0%+

Reduction in manual effort

Automated data operations

0%

Less manual email triage

AI classification workflow

0%

Less manual data processing

Pipeline automation

0+ hrs

Saved per week

Reporting automation

0ms

API response times

Customer enquiry APIs

0T+

Rows processed

Large-scale data environments

0TB+

Data handled

Enterprise data platforms

  • Faster, lower-risk data migrations
  • Measurably improved data quality
  • More reliable, observable data pipelines
  • Scalable cloud infrastructure
  • Faster access to business insights
  • AI-powered operational efficiency

AI & automation

Intelligent workflows that do the work, then prove what they did

We design AI agents around existing business processes — reading, deciding and acting inside your systems, with observability and auditability built in.

01

Read

Ingest documents, emails and system events.

02

Classify

Categorise intent, priority and ownership.

03

Extract

Turn unstructured content into structured data.

04

Decide

Apply business rules and model reasoning.

05

Trigger

Kick off downstream workflows and notifications.

06

Escalate

Route exceptions to humans, fully audited.

Capabilities

  • LLM integration with private, governed data
  • RAG and vector search over enterprise content
  • Agentic workflows with tool use and guardrails
  • Model fine-tuning for domain-specific accuracy
  • Intelligent document and email processing
  • Human-in-the-loop review and audit trails
Discuss an AI workflow

Clients

Clients we’ve worked with

Organisations that have taken our services across retail, mining, financial services, government, utilities and not-for-profit.

  • Coles
  • Flybuys
  • PropApp
  • IndagoDigital
  • Deloitte
  • BHP
  • Macquarie Group
  • KPMG Australia
  • Fonterra
  • Public Transport Victoria
  • PZ Cussons
  • Sportsbet
  • Bureau of Meteorology
  • Cancer Council Victoria
  • Simplot
  • Cognizant
  • Syntel

How we work

A delivery model built for enterprise environments

Pragmatic, incremental and transparent — with production readiness considered from day one.

  1. 01

    Discover

    Understand systems, data, constraints and the business outcome.

  2. 02

    Design

    Architect the platform, pipeline or workflow with a clear delivery plan.

  3. 03

    Build

    Engineer it incrementally with testing, review and documentation.

  4. 04

    Automate

    Remove manual steps with orchestration, CI/CD and AI where it fits.

  5. 05

    Optimise

    Monitor, tune cost and performance, and harden for scale.

About

About Graylocus Solutions

Graylocus Solutions is an experienced technology consultancy specialising in enterprise data engineering, data migration, cloud platforms, automation and AI.

We work with organisations that depend on data being correct, available and fast — and that want less of it handled by hand. Our background spans large-scale migrations, petabyte-adjacent data platforms, governance frameworks and production AI workflows, which means we design for the operational realities of enterprise environments rather than the demo.

Senior by default

Engagements are led by consultants who have delivered inside large enterprise data teams.

Outcome focused

We measure success in reduced manual effort, faster insight and reliable platforms.

Melbourne based

Based in Melbourne and connected globally, working with teams across Australia, India and the United States.

Contact

Start a conversation

Tell us about your data, cloud, automation or AI challenge. We'll respond with a practical view of the approach, effort and risks.

Australia, India and the United States — remote and onsite engagements worldwide

Typical starting points: a migration assessment, a data platform review, or a proof-of-value AI workflow.