AI & Data Engineering · Sydney · Auckland · Melbourne

Enterprise intelligence, engineered for the regulated world.

Kloud9 AI partners with Australia & New Zealand's most demanding institutions — banks, insurers, retailers — to design AI agents, RAG systems and modern data platforms that actually ship to production. Without the slide-deck theatre.

Book a discovery call Or read our case studies →

What we build

Production AI, not pilots.

Most enterprise AI dies in proof-of-concept. We design for the audit trail, the failover, the compliance review and the day-two operations — from the first whiteboard.

06 Core capabilities

/ 01

Agentic AI Systems

Multi-agent orchestrations for back-office automation — access provisioning, claims triage, compliance review. Built on Azure AI Foundry, Bedrock, and LangGraph with full observability.

Foundry Bedrock LangGraph MCP

/ 02

RAG & Knowledge Assistants

Domain-grounded chatbots over policy libraries, contracts and operational runbooks. Permission-aware retrieval, citation transparency, and hallucination guardrails built in.

Azure AI Search Vector DBs Entra RBAC

/ 03

Modern Data Platforms

Lakehouse architectures on Databricks & Snowflake. Star-schema dimensional models, Cortex Analyst-ready semantic layers, and DBT-driven transformation pipelines.

Databricks Snowflake DBT Iceberg

/ 04

Intelligent Automation

End-to-end process automation bridging Power Automate, Azure Functions, ServiceNow and Teams Adaptive Cards — with kill switches, feature flags and proper environment hygiene.

Power Platform Logic Apps ServiceNow

/ 05

AI Governance & Risk

Architecture review services, AI risk registers and ISO 42001-aligned governance frameworks. Because APRA CPS 230 and the EU AI Act don't care how clever your model is.

CPS 230 ISO 42001 Privacy Act

/ 06

Cloud Foundations

Landing zones, network segmentation, private-endpoint enforced PaaS, and managed-identity throughout. Internal-mode APIM, ExpressRoute, and zero-trust egress as the default.

Azure AWS Terraform

— A note on philosophy

Most AI consultancies sell possibility. We sell the unglamorous middle — the integration patterns, the runbooks, the kill switches, the disaster recovery — so the clever part actually survives contact with production.

Kloud9 AI · Engineering Principles · 2026

94%

Of our deliveries reach production within initial scope

$48m

Aggregated annual run-cost saved across active engagements

11×

Average operational throughput uplift on automated workflows

Production data incidents recorded in deployed engagements to date

The platform

A stack chosen for regulated workloads — not novelty.

We're hyperscaler-fluent across both major Australian sovereign regions and certified across the four platforms that matter for ANZ enterprise data & AI.

Cloud & Infrastructure 04

Data & Lakehouse 06

AI & Models 06

Integration & Automation 06

Governance & Observability 06

Cloud & Infrastructure

Australia East and Sydney region-resident workloads with private-link-only PaaS, zero-trust egress, and ExpressRoute connectivity into client networks. Terraform-managed, environment-segregated.

Microsoft Azure

Amazon AWS

Terraform

Azure ExpressRoute

Where we operate

Sectors we know by heart.

Domain fluency matters. Our delivery teams understand APRA prudential standards, retail loyalty mechanics, PHI risk equalisation, and the Privacy Act amendments — so we don't waste your three-week onboarding window.

Banking & Capital

Major banks, neobanks, mutuals. Lending automation, AML/KYC intelligence, and customer-facing copilots — APRA CPS 230 aligned end-to-end.

Insurance & Health

PHI funds, general insurers, and life. Claims triage, underwriting copilots, and member-facing RAG assistants — built for high-stakes decisioning.

Retail & Loyalty

Supermarket chains, loyalty programs, and FMCG. Personalisation engines, demand forecasting, and merchant intelligence platforms.

Government & Tertiary

Federal departments, state agencies, and Group of Eight universities. IRAP-aware design, sovereign data residency, and procurement-pathway delivery.

Engagement model

A delivery cadence that doesn't burn the runway.

Our engagement structure — battle-tested across a dozen tier-one institutions — collapses the typical 9-month enterprise AI delivery into a defensible 14 weeks.

01 / DISCOVER

Architecture & opportunity mapping

Two-week immersion to map current-state systems, identify the highest-ROI automation surface, and produce a pre-flight architecture review document — APRA, ISO 42001 and Privacy Act considered upfront.

2 weeks

02 / DESIGN

Reference architecture & ARD

Detailed solution design — draw.io diagrams, sequence flows, ownership zones, kill-switch design, environment topology — delivered as a client-template-conformant Architecture Reference Document.

3 weeks

03 / BUILD

Vertical-slice delivery

A working production-shaped slice: one real workflow, end-to-end through the actual systems, observed and gated. Not a demo — a deployable artefact your platform team can take ownership of.

6 weeks

04 / HARDEN

Production cutover & handover

SRE-grade runbooks, observability dashboards, on-call playbooks, and operations training. We don't leave until your team can answer the 3am page without us.

3 weeks

The founder

Built by a practitioner,
not a partner deck.

Kloud9 AI is led by someone who still writes the architecture documents, still sits in the engineering reviews, and still answers the production page. Because that's the only way to keep the consultancy honest.

Melbourne · Founder

Niranjan Rupanarayan

Founder & Chief Architect

A lead enterprise architect with 15+ years across Fortune 100 institutions in Australia, New Zealand, the UK and North America — designing and shipping production-grade Data & AI solutions that translate directly to business value. The kind of work that survives the procurement panel, the audit, and the on-call rotation.

Outside of Kloud9 AI, Niranjan is an active angel investor backing early-stage founders building in the AI space — from agentic infrastructure to applied vertical AI products.

"Most enterprise AI fails not because the model is wrong — but because nobody designed for the day after go-live. We start there, and work backwards."

Experience

15+ years

Engagements delivered

40+ programmes

Industries

Banking · Insurance · Retail

Markets

AU · NZ · UK · NA

Microsoft Azure Certified AWS Certified Snowflake Certified Databricks Certified TOGAF

— Trusted across

NAB · Westpac NZ · Flybuys · Coles · Bupa · David Jones

Selected work

Engagements shipped.

A representative slice. Some clients prefer not to be named — most logos above are public; the following are de-identified by request.

Tier-1 Bank · AU14 wks

Automated user access provisioning digital worker

Mailbox-triggered Power Automate → Azure Foundry agent triage → Teams Adaptive Card approval → ServiceNow execution. Three-zone bounded ownership architecture with App Configuration kill switches.

87% Reduction in mean access fulfilment time

Health Insurer · AU10 wks

Star-schema dimensional model on Snowflake

Eight-dimension SCD Type-2 model with five transactional and three aggregate fact tables. Cortex Analyst-ready semantic layer covering GAP, RCTI, trail commission and clawback — full DDL with COMMENT enrichment.

3.2× Analyst self-service query velocity

Retail · AU/NZ16 wks

NOC AI agent & observability copilot

Internal-only Azure-hosted agent integrating Splunk, New Relic and ServiceNow over Internal Mode APIM. Zero internet exposure, ExpressRoute-only, Managed Identity throughout, Azure Firewall Premium egress.

62% First-tier triage cost displaced