Best AI Infrastructure Companies in Australia
The 37 best AI Infrastructure companies in Australia in 2026, ranked by funding and momentum. Funding, investors, founders, valuation, tech stack and live signals. Top: Firmus.
- Valuates Reports
- MarketsandMarkets
Our analysis of 50 AI Infrastructure companies
$46.6b in tracked funding; 98% of the stack-profiled cohort runs cloud-native; funding activity peaked in 2025.
Ranked: Best AI Infrastructure companies in Australia
| # | Company | Disclosed funding | Last round | Stage | Founder | Founded | Tech stack | Recent signals |
|---|---|---|---|---|---|---|---|---|
| 1 | Firmus 🦄 Provider of AI cloud infrastructure with scalable performance and efficient design 67Funding top 7%AI top 20%Moat top 47%Tech top 49% All 7 signals ▾Fundingtop 7% AItop 20% Moattop 47% Techtop 49% Talentbottom 49% Marketbottom 46% Globalbottom 37% Funding: Raised $11.1B across 4 rounds · 4 rounds over 1 yrs (4.0/yr) AI: Classified as an AI company rank vs industry peers · Fliar Intelligence Index 67/100 | $11.1B | 5 mo ago | Series F | Tim Rosenfield Co-Chief Executive Officer | 2019 | TurbopackApple iCloud MailMicrosoft 365+14 | 1 job opening · 1 partnership |
| 2 | Relevance AI AI-powered image data analytics platform 57Tech top 24%Talent top 28%AI top 30%Funding top 37% All 10 signals ▾Techtop 24% Talenttop 28% AItop 30% Fundingtop 37% Moattop 48% Producttop 49% Growthbottom 40% Globalbottom 39% Marketbottom 36% Newsbottom 21% Tech: 55 technologies across 5/8 capability areas · Cloud: Cloudflare, Vercel Talent: 3 named leaders on record · 3 C-suite/founder profiles curated rank vs industry peers · Fliar Intelligence Index 57/100 | $13M | 16 mo ago | Series B | Daniel Palmer Co-Founder | 2020 | WebflowGSAPPostHog+22 | — |
| 3 | Curious Thing AI-based conversational candidate assessment solution for volume hiring | $8M | 52 mo ago | Seed | — | 2018 | Google Sign-inReactReact Router+18 | — |
| 4 | Strong Compute Provider of AI-based training | $8M | 51 mo ago | Seed | Calvin Ung Co-Founder | 2021 | — | 2 partnerships · 3 expansions |
| 5 | Daisee Developer of voice analytics software for contact centre quality assurance | $7M | 101 mo ago | Series A | Richard Kimber Founder & Board Director | 2017 | styled-componentsReactGatsby+13 | — |
| 6 | PI.EXCHANGE Provider of cloud and AI-based predictive analytics solution provider | $2M | 60 mo ago | Seed | — | 2017 | Webflow EcommerceWebflowMailChimp+13 | — |
| 7 | Katonic Provider of AI and cloud-based data science process automation solutions | $2M | 44 mo ago | Seed | — | 2020 | BootstrapAmazon Web ServicesEmotion+24 | — |
| 8 | TrueState Platform for building AI systems | $2M | 26 mo ago | Seed | William Ashford Founder & CEO | 2023 | — | — |
Top 9 AI Infrastructure companies in Australia
#1
Firmus 🦄Series F · Saint Leonards, Tasmania · founded 2019 · 25 employees$11.1Braised▾
Provider of AI cloud infrastructure with scalable performance and efficient design. It offers GPU-powered cloud compute, bare metal options, and AI storage solutions. The infrastructure is designed for running experiments, training models, and launching agents. The company focuses on modular, verticalized systems to optimize cost and power consumption. It engineers infrastructure from the silicon level up, co-designing compute, network, power, and cooling for system-wide efficiency. The company also provides resources for AI factories and research.
- Apr 2026Series F$505M
- Feb 2026Conventional Debt$10B
- Nov 2025Series E$327.6M
- Sep 2025Series D$219.8M
#2
Series B · Sydney, New South Wales · founded 2020 · 16 employees$12.8Mraised▾
AI-powered image data analytics platform. It leverages ML and enables users to extract business insights from unstructured data such as text and image files. The AI understands the meaning of text, audio, and images and analyses the sentiments and emotions from the file. Features include semantic search, AI tagging, image search, reports, and more.
- May 2025Series B$24M
- Dec 2023Series A$9.8M
- Dec 2021Seed$3M
#3
Seed · Sydney, New South Wales · founded 2023$1.5Mraised▾
Platform for building AI systems. The platform offers AI technology, enabling customers to implement AI solutions. Features include containerization of core services, integration of data with models, identity and access management, GPU lifecycle management, CI or CD configuration, security compliance, infrastructure scaling automation, secure data integrations, and more.
- Jun 2024Seed$1.5M
#4
Seed · Sydney, New South Wales · founded 2018 · 24 employees$8.4Mraised▾
AI-based conversational candidate assessment solution for volume hiring. Its offering is curiosity which has use cases in talent-hiring and student interview preparations, and an API for HR tech. The offerings make use of an AI-based conversational system that assesses the candidates through oral interviews. The system uses NLP (natural language processing), to provide results through knowledge-graph-based analytics.
- May 2022Seed$4.9M
- May 2019Seed$2M
- Feb 2019Seed$1.5M
#5
Seed · Sydney, New South Wales · founded 2021 · 13 employees$7.9Mraised▾
Provider of AI-based training. It takes pre-optimized reference libraries and speeds them up 20x. This turns a 60-hour training run into a few hours.
- 2022Seed—
- May 2022Seed$7.8M
- Mar 2022Seed$500K
#6
Seed · Sydney, New South Wales · founded 2020 · 24 employees$1.6Mraised▾
Provider of AI and cloud-based data science process automation solutions. It provides a platform for authentication, scaling, monitoring, and management of various models. It provides solutions to automatically train ML models and supports various deep learning frameworks such as Tensorflow, PyTorch, Scikit-Learn, XGBoost, Keras, Hugging Face, and FastAI.
- Dec 2022Seed$1.6M
#7
Series A · Sydney, New South Wales · founded 2017 · 38 employees$6.8Mraised▾
Developer of voice analytics software for contact centre quality assurance. The software transcribes calls, evaluates performance, and improves quality assurance standards. It analyses customer interactions, reveals compliance gaps, and identifies caller sentiment. The software uses artificial intelligence, natural language processing, and sentiment analysis. It provides insights about team performance.
- Mar 2018Series A$6.8M
#8
Seed · Melbourne, Victoria · founded 2017 · 26 employees$2Mraised▾
Provider of cloud and AI-based predictive analytics solution provider. It offers web-based software that predicts the performance of machine learning models created for a user-specific set of data. Its features include a recommendation engine, model repertoire, and immediate result capabilities. It is available in a subscription-based pricing model.
- Aug 2021Seed$2M
#9
Seed · Sydney, New South Wales · founded 2023—raised▾
Provider of AI-powered platform for social selling and lead generation. The platform helps sales teams build relationships and automate personalized outreach. It analyzes brand voice and prospect context to generate messages and comments. The platform also discovers ideal buyers and engages with prospects to build relationships. It provides tools to craft posts and convert engagers into personalized outreach sequences.
- Jul 2023Seed—
Funding & investor landscape
Notable founders
Market landscape — 10 sub-themes by coverage
Share of AI Infrastructure coverage by sub-theme.
Regulatory-risk over time rising
Funding & growth over time
funding rising · growth rising
How research on AI Chips & Accelerators is moving in Australia
A read on the academic research around AI Chips & Accelerators — which themes are gaining ground, the institutions and researchers driving them, and how the tone is shifting. Based on 9 Australia-affiliated papers.
- Newcastle University2
- University College London2
- ARC Centre of Excellence in Future Low-Energy Electronics Technologies1
- Division of Materials Science and Engineering1
- The University of Adelaide1
- Memristor2
- Convolutional neural network2
- Computer architecture2
- XNOR gate1
- Resistive random-access memory1
- Von Neumann architecture3
- Neuromorphic engineering2
- XNOR gate1
- Transistor1
- CMOS1
Common questions
Rohit lives in the feed. He covers what's moving right now — the funding rounds, launches and shifts breaking across the trade press — and ties them back to where the sector is heading.