What Cloud Shuttle does

Cloud Shuttle is a founder-led data engineering and AI engineering consultancy headquartered in North Wollongong, Australia, with additional operating bases in Sydney, Melbourne, Brisbane, and Auckland, New Zealand. Founded in 2020, the firm serves enterprise and individual engineering customers across Australia and New Zealand with a portfolio spanning hands-on consulting, public workshops, corporate in-house training, and career-development programs for data and AI engineers.

The company's delivery model is built on a multi-cloud infrastructure footprint (AWS, Azure, GCP, Fly.io, Railway) and a modern data/AI stack including Snowflake, Databricks, ClickHouse, Kafka, dbt, LangGraph, Langfuse, and Terraform. Cloud Shuttle has developed proprietary technical assets — the Drover Ontology, RLM Harness, Zero-Token AST Sync, and a Fly.io Egress Proxy Pattern — that differentiate its consulting and workshop offerings from generic training providers. The firm also operates the DataEngBytes community, with a 5,000+ engineer newsletter and 6+ recurring meetups.

Revenue is generated through four channels: (1) consulting and fractional data/AI engineering retainers for enterprise clients in fintech, retail, healthcare, logistics, and energy; (2) public workshops at $595–$1,995 per seat; (3) corporate in-house workshops at $6,500–$24,000 per engagement; and (4) career-track workshops at $1,499–$3,199 per participant. The team is small (~2 core members), with broader delivery capacity supplemented by an extended practitioner network.

Name

Cloud Shuttle

Legal name

Cloud Shuttle

Website

https://cloudshuttle.com.au

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

1–10 employees

Short description

Cloud Shuttle is a founder-led data and AI engineering consultancy based in Australia and New Zealand, serving enterprise clients with multi-cloud consulting, proprietary AI tooling, and a multi-channel workshop and community program.

Ownership category

akta.pro rank

Product category

Data Engineering Consulting

NAICS

Computer Systems Design and Related Services (54151), Computer Facilities Management Services (541513)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Cloud Architecture & Migration Integration (BPAEAAAH)

akta.pro secondary industries

Cloud Data Platforms & Analytics Migration (BPAEACAI), Cloud Managed Services (Operations, Monitoring, Patching) (BPAEACAF), Cloud Computing & Infrastructure (AWS/Azure/GCP, Virtualization) (EDABAFAB)

Keywords

• Data engineering consulting
• AI engineering services
• Data platform development
• Cloud migration services
• LLM evaluation workshops

Headquarters

HQ city

Oatley

HQ country

Australia

HQ region

Oceania

Offices5 records

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Marketing or Sales, Technology or R&D, Operations

Revenue model

1. Data & AI Engineering Consultancy: Embedded consulting engagements scoping, building, and operating data platforms and AI systems. Billed as project engagements or part-time fractional data leadership retainers. Typical deployment timelines of days, not months. Vendor-agnostic delivery across client's existing environments.
2. Public Workshop Cohorts: Per-person ticketed workshops for AI Mastery Week (June 2026) sold via Luma platform. Individual day tickets range $595–$1,995 per person. Bundle discounts available (15% off full series). Topics span Prompt Engineering, LLM Evaluations, AI Agents, and Enterprise Architecture.
3. Corporate/In-House Workshop Delivery: Flat-fee corporate engagements for private in-house delivery. Ranges from $6,500–$24,000 AUD excl. GST depending on workshop (W1: $6,500–$13,500; W2: $8,500–$16,500; W3: $12,500–$22,000; W4: $18,000–$24,000). Up to 15 participants. 10–15% bundle discount for full series. Add-ons for customisation and travel.
4. Career Workshop Programs: Longer-format career acceleration programs: Graduate Data Eng (6 weeks, $1,499/person), Modern Data Eng (4 weeks, $2,499/person), Lead Data Eng (3 days, $3,199/person). Delivered as cohort-based virtual live sessions.

Pricing tiers

Go-to-market motion3 records

Distribution channels3 records

Marketing channels6 records

Core offering

Cloud Shuttle is a vendor-agnostic data platform and AI engineering consultancy that embeds with client teams across Australia and New Zealand to design, build, and operate modern data platforms, pipelines, and AI evaluation systems. Core delivery spans lakehouses, warehouses, streaming, orchestration, cloud infrastructure (AWS/Azure/GCP/Fly.io), and production-grade AI systems including RAG pipelines, LLM agents, and evaluation frameworks. The firm also runs paid public workshops (AI Mastery Week) and corporate training programs taught by the same practitioners who deliver client engagements.

Product overview

Cloud Shuttle is a founder-led data engineering consultancy operating across Australia and New Zealand, offering both professional services and training programs. Their core consulting services span Data Platform Engineering (lakehouses, warehouses, streaming via Snowflake/Databricks/ClickHouse/Kafka), AI Engineering (RAG pipelines, LLM agents, evaluation frameworks using LangGraph/Langfuse), Cloud & Infrastructure (Terraform/Kubernetes on Fly.io/AWS/Azure/GCP), Analytics & Observability (Metabase/Grafana), Migration & Modernisation, and Fractional Data Leadership. Complementing services, they offer a progressive AI Workshop Series (W1–W4: Prompt Engineering Mastery, Mastering AI/LLM Evaluations, Building Practical AI Agents, Enterprise AI Architecture) and data engineering workshops (Graduate, Modern, Lead levels). The company organizes ANZ community programs including engineering meetups and DataEngBytes conferences. AI Mastery Week is their flagship public cohort event (June 2026). Their approach embeds consultants with client teams for hands-on delivery of data platforms, pipelines, and AI evaluation practice.

Differentiator

Problem solved

Functional benefit

Products and services

• Data Platform Engineering Design and build scalable data platforms for enterprise and mid-market clients: lakehouses, warehouses, streaming systems, and orchestration pipelines. Tech stack spans Snowflake, Databricks, ClickHouse, and Kafka. Embedded delivery model for ANZ organisations.
• AI Engineering Build production-grade AI systems including RAG pipelines, LLM-powered agents, and LLM evaluation frameworks using LangGraph, Langfuse, and related tooling. Targets teams shipping GenAI in production across ANZ.
• Cloud & Infrastructure Right-sized cloud environments across Fly.io, Railway, AWS, Azure, and GCP with Infrastructure-as-Code (Terraform), Kubernetes, cost control, and security implementation for ANZ teams.
• Analytics & Observability Fast analytical systems and BI layers using ClickHouse Cloud, Metabase, Superset, Grafana, and Langfuse for AI observability. Designed for production analytics and AI workload monitoring.
• Migration & Modernisation Legacy-to-modern data stack migrations including Matillion to dbt transitions, Hevo, Fivetran, Airbyte, and Iceberg adoption. Embeds with client teams for hands-on delivery.
• Fractional Data Leadership Part-time principal engineering and advisory services covering data engineering strategy, hiring, and code review for data organisations. Functions as ongoing fractional data leadership retainer.
• Prompt Engineering Mastery (W1) Foundation AI workshop turning prompting from guesswork into a repeatable skill. Covers few-shot prompting, chain-of-thought, and programmatic prompt optimisation. All levels audience. Public cohort $595/person; corporate in-house flat fee $6,500–$13,500 (1–2 days).
• Mastering AI/LLM Evaluations (W2) Workshop building the trust layer for production-grade LLM applications. Covers deterministic evaluation harnesses, LLM-as-Judge, and Red Teaming for AI/ML teams. Public cohort $795–$1,495/person; corporate in-house flat fee $8,500–$16,500 (1–2 days).
• Building Practical AI Agents (W3) Workshop transitioning from linear prompting to autonomous AI systems. Covers ReAct patterns, tool integration, state/memory, multi-agent orchestration, and MCP/A2A protocols for developers. Public cohort $1,195–$1,995/person; corporate in-house flat fee $12,500–$22,000 (2–3 days).
• Enterprise AI Architecture (W4) Architecture workshop for CTOs and technical leaders covering enterprise AI stack, AI Gateway, MCP integration, multi-agent orchestration, governance, and the AI Skill Factory operating model. In-house only; flat fee $18,000–$24,000 (2 days, up to 15 participants).
• AI Mastery Week Public ticketed cohort running 22–26 June 2026 at Stone & Chalk Tech Central, Haymarket Sydney. Four-day progressive AI workshop series covering prompt engineering, LLM evaluations, AI agents, and enterprise AI architecture. 15% bundle discount when purchasing the full series; early-bird pricing closes 3 June.
• Graduate Data Engineering Workshop 6-week intensive cohort program for recent graduates or analysts mastering cloud and pipeline basics. Covers Python, SQL, Spark, cloud infrastructure, ETL, and orchestration. $1,499 per person, virtual live, limited to 25 seats.
• Modern Data Engineering Workshop 4-week industry-standard program learning the modern data stack and best practices including dbt, Snowflake, and production workflows. $2,499 per person, cohort-based virtual live delivery.
• Lead Data Engineering Workshop 3-day intensive cohort program for senior engineers and leads covering architecture, costs, and team scalability. $3,199 per person, virtual live, leadership-level curriculum.

Quantifiable outcome

• 99% reduction in LLM prompt context size (from 4.5 MB to 61 KB) via Drover Git Delta Mode, reducing token costs from $210.72 to $0.46 per refactoring task
• +4 more outcomes

Named customers4 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability15 records

Feature4 records

Scale indicators4 records

Recent moves5 records

Expansion highlights5 records

Broad incumbents

• Mantel Group: ANZ-focused data, cloud, and AI consultancy group that owns Eliiza, Paragraph, and Lumachain. Competes for the same ANZ enterprise data/AI budgets with a broader portfolio and deeper bench than Cloud Shuttle.
• Accenture: Global systems integrator with large ANZ data and AI practice. Competes for the same enterprise data platform, migration, and AI engineering deals at the upper end of the market, often against Cloud Shuttle's enterprise customers.
• KPMG Australia: Big Four firm with a data and AI engineering practice in ANZ serving enterprise and regulated clients. Directly competes for healthcare, financial services, and government data platform and AI mandates.
• Deloitte Australia: Big Four firm with significant data, analytics, and AI engineering capability in ANZ. Overlaps with Cloud Shuttle on cloud migrations, data platform modernization, and AI evaluation/governance work for regulated industries.

Direct peers

• Quantium: ANZ-based data science and analytics consultancy (now part of Woolworths Group) with heritage in retail and financial services data platforms. Comparable in ANZ focus, target verticals, and emphasis on data engineering and analytics outcomes.
• Nous Group: ANZ management and digital consultancy with a data and technology practice serving enterprise and public sector clients. Comparable in boutique scale, ANZ focus, and emphasis on practitioner-led delivery.
• Eliiza: ANZ boutique data and AI engineering consultancy (now part of Mantel Group) specializing in MLOps, data platforms, and production AI. Closely comparable in size, geography, vendor-agnostic delivery, and focus on productionizing AI for ANZ enterprises.
• Thoughtworks: Global technology consultancy with deep data engineering and platform modernization heritage and a substantial Australian business. Comparable in target customers, technology-agnostic stance, and emphasis on engineering-led delivery for complex data and AI workloads.
• Slalom: Global technology consultancy with a strong data, cloud, and AI engineering practice and significant ANZ presence (Sydney, Melbourne, Auckland). Closely comparable in target customer (enterprise and mid-market), vendor-agnostic delivery model, and emphasis on modern data platforms and AI.
• Datalytyx: ANZ data engineering and analytics consultancy specializing in cloud data platforms, Snowflake, and modern data stack delivery. Comparable in size, vendor-agnostic stance, and ANZ enterprise customer base.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Cloud Shuttle