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LAB3 Tech Stack

Azure-native platform engineering and cloud services for ANZ enterprises

IT Services and IT Consulting Melbourne, Australia 201–500 employees Founded 2017 Privately Held

LAB3 is a Melbourne-based cloud and DevOps consultancy built almost entirely on the Azure ecosystem—30+ services across compute, security, data, and AI. The hiring mix (engineering-heavy, with dedicated data and security tracks) and active project list (MLOps, RAG pipelines, SIEM analytics, cloud migrations) signal a move beyond infrastructure consulting toward AI/data delivery. Pain points cluster around legacy-to-cloud migrations, AI governance, and model observability—classic friction points for enterprises scaling AI programs without the internal expertise.

Tech Stack 131 technologies

Core StackAzure DevOps Terraform Azure Data Factory Azure AD Azure Azure Cognitive Services Azure Security Center Azure Cloud Adoption Framework Microsoft Sentinel Azure Log Analytics Azure Defender for Cloud Azure Migrate Azure Management Groups Azure Monitor Azure Portal Azure Policy Azure Key Vault Azure Automation Azure Storage Azure Entra Azure Firewall Azure Network Security Groups Azure Private Endpoints Azure Virtual WAN Azure IAM Azure RBAC Azure Resource Manager Azure Bicep Azure Kubernetes Service Azure Load Balancer+100 more

What LAB3 Is Building

Challenges

  • Migrating legacy services to azure
  • Scalability challenges
  • Automation optimisation
  • Cloud adoption challenges
  • Improving ai governance
  • Monitoring model drift and bias
  • Optimising llm latency and cost
  • Scaling ai programs
  • Reducing risk in ai delivery
  • Improving analytic fidelity

Active Projects

  • Advanced siem analytics via kql
  • Cloud adoption workshops
  • Azure assessments and implementation
  • Proof-of-concept prototypes
  • Sharepoint online site creation with system integrations and automation
  • Hybrid retrieval architecture for enterprise clients
  • Mlops implementation with azure ml/databricks
  • Rag pipeline development
  • Ai governance standards
  • Reference architecture development

Hiring Activity

Accelerating45 roles · 40 in 30d

Department

Engineering
25
Data
6
Sales
6
Consulting
4
Security
3

Seniority

Senior
20
Mid
12
Principal
12
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About LAB3

LAB3 delivers platform engineering, cloud infrastructure, and managed services to mid-market and enterprise clients across Australia, New Zealand, and the United States. The company operates as a services firm anchored in Microsoft Azure, offering workshops, assessments, and implementation across cloud adoption, security operations, data platforms, and AI/ML workloads. Projects span proof-of-concept prototypes, hybrid retrieval systems for LLM applications, MLOps pipelines, and advanced SIEM analytics. The business model combines on-site consulting (cloud adoption workshops, architecture reviews) with managed service delivery and proof-of-concept work for clients early in their AI and modern-data journeys.

HeadquartersMelbourne, Australia
Company Size201–500 employees
Founded2017
Hiring MarketsAustralia, New Zealand

Frequently Asked Questions

What cloud platforms does LAB3 specialize in?

LAB3 operates primarily on Microsoft Azure, with expertise across 30+ Azure services including compute (AKS), security (Sentinel, Defender, Entra), data (Data Factory, Cognitive Services), and AI (Azure ML). The company also works with Databricks for MLOps.

What countries does LAB3 operate in?

LAB3 operates in Australia (LAB3 Pty Ltd, headquartered in Melbourne), New Zealand (LAB3 NZ Ltd), and the United States (LAB3 USA Inc). Current hiring is active in Australia and New Zealand.

How this profile is built

LAB3's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.