Best Business Intelligence Companies in Australia
The 94 best Business Intelligence companies in Australia in 2026, ranked by funding and momentum. Funding, investors, founders, valuation, tech stack and live signals. Top: Marqo.
Ranking the top Business Intelligence companies in Australia by disclosed equity funding gives you a fast read on where real capital is concentrating, and right now that picture is sharper than it looks from the outside. Across 94 companies we're tracking, total disclosed funding sits at $78M, with Marqo leading at $18M, Prospecta close behind at $15M, and Unleash Live at $13M. No unicorns yet, but the investor roster, Boab, AirTree, Blackbird Ventures, Artesian, Right Click Capital, signals the sector is being taken seriously. The global BI market was valued at $28.2B in 2023 and is forecast to reach $56.2B by 2033 at a 7.1% CAGR, driven by cloud computing, AI integration, and big data analytics. Australia's slice of that is still forming.
So what's actually moving the needle this quarter? Coverage is flat, but the hot themes are predictive analytics, data analytics platforms, and business reporting tools, and median app install growth of roughly 19% YoY across business productivity software confirms that end-user adoption is accelerating. Augmented analytics is drawing serious attention globally, and Australian founders are building into that demand. Data security remains the structural constraint worth watching, particularly as enterprise clients tighten governance requirements. I'd keep an eye on which of these 94 companies clears $20M first.
- Business Intelligence Market
- Business Intelligence Market- Global Industry Analysis and forecast 20
Ranked: Best Business Intelligence companies in Australia
| # | Company | Disclosed funding | Last round | Stage | Founder | Founded | Tech stack | Recent signals |
|---|---|---|---|---|---|---|---|---|
| 1 | Marqo Provider of AI-native product discovery platform optimizing search relevance and conversion | $18M | 28 mo ago | Series A | Tom Hamer Co-Founder & CEO | 2022 | WebflowAmazon Web ServicesReact+22 | 1 launch · 1 partnership |
| 2 | Prospecta Platform offering data quality and integrity solutions | $15M | 66 mo ago | Series A | Ranjan Bakshi Founder & CEO | 2002 | WordPress Block EditorElementorWordPress+17 | 1 partnership |
| 3 | Hyper Anna Cloud-based data analytics and visualization solutions provider | $14M | 106 mo ago | Acqui-Hired | — | 2016 | — | — |
| 4 | Unleash live AI based platform offering image and video analytics solutions | $13M | 57 mo ago | Series A | Hanno Blankenstein CEO and Co-founder | 2016 | Cart FunctionalitySquarespace CommerceSquarespace+27 | 5 job openings |
| 5 | MogoPlus AI powered decision support software for banking industry | $10M | 11 mo ago | Seed | Mike Page CEO | 2012 | — | — |
| 6 | SourseAI Decision augmentation platform | $3M | 30 mo ago | Series A | Tanya Young Co-Founder & CEO | 2019 | — | — |
| 7 | Sauce Provider of AI platform analyzing customer feedback to identify product gaps | $2M | 43 mo ago | Seed | James Szklarz Co-founder | 2022 | Node.jsTailwind CSSReact+15 | — |
| 8 | PI.EXCHANGE Provider of cloud and AI-based predictive analytics solution provider | $2M | 57 mo ago | Seed | — | 2017 | Webflow EcommerceWebflowMailChimp+13 | — |
| 9 | Leximancer Statistical tool for test analysis | $1M | 212 mo ago | Seed | Andrew Smith Founder | 2001 | Cart FunctionalitySquarespace CommerceSquarespace+19 | — |
| 10 | Daitum Cloud-based decision analytics software | $200K | 87 mo ago | Seed | Luigi Barone Co-Founder | 2016 | WordPressMySQLPHP+29 | — |
Top 11 Business Intelligence companies in Australia
#1
Seed · Sydney, New South Wales · founded 2012$10.1Mraised▾
AI powered decision support software for banking industry. It analyzes unstructured data for customer decisioning in lending. The platform converts transactional data into actionable insights for lenders. Its solutions support different aspects of the lending lifecycle, including credit decisioning, affordability analysis, and financial hardship evaluation. The insights help lenders verify applicant information, make informed decisions, and optimize the customer experience.
- Jul 2025Seed$985.6K
- Oct 2020Seed$11.2K
- Jan 2020Seed$212.1K
- Nov 2017Seed$1.2M
#2
Series A · Melbourne, Victoria · founded 2022 · 17 employees$17.7Mraised▾
Provider of AI-native product discovery platform optimizing search relevance and conversion. The platform uses click-stream, purchase, and event data to deliver intelligent results. It offers features such as semantic relevance, typo tolerance, and multilingual comprehension. The platform adapts to shopper intent and behavior, shifting between results and conversational search. It automates ranking, boosts, and filters through AI, improving relevance and revenue.
- Feb 2024Series A$12.5M
- Aug 2023Seed$5.2M
- Oct 2022Seed$729.3K
- May 2022Seed—
#3
Series A · Sydney, New South Wales · founded 2019 · 21 employees$3.5Mraised▾
Decision augmentation platform. It is a platform for decision augmentation that offers data-driven decision-making solutions to business and IT professionals. It provides a decision intelligence platform created to optimize decisions made within subscription businesses. Business performance predicting and monitoring, forecasting, and anomaly detection are some of the features of the platform.
- Dec 2023Series A$2M
- Jul 2021Seed$1.5M
#4
Series A · Sydney, New South Wales · founded 2016 · 28 employees$12.8Mraised▾
AI based platform offering image and video analytics solutions. It offers video analytics software for analyzing video from sources like CCTV, drones, and smartphones. The software use cases include solar PV and power line fault detection, and traffic and public transport analytics.
- Sep 2021Series A$8M
- 2021Grant (prize money)$475K
- Dec 2018Seed$4.8M
#5
Series A · Chatswood, New South Wales · founded 2002 · 220 employees$14.7Mraised▾
Platform offering data quality and integrity solutions. It enables business users to create information through the use of business rules, workflows, and approval procedures. It allows organizations to analyze, cleanse, and manage data across many systems and applications. Its features include a single point of access for generating, organizing, updating, and viewing master data, data governance management, data visualization, and more. The offering sectors include oil, gas, manufacturing, pharmaceutical, engineering, chemical, etc.
- Dec 2020Series A$14.7M
#6
Seed · Sydney, New South Wales · founded 2022 · 4 employees$2.3Mraised▾
Provider of AI platform analyzing customer feedback to identify product gaps. The platform connects to live feedback sources and CSV files. It uncovers product opportunities and blindspots for various teams. The AI agents automate analysis and clustering, allowing product managers to focus on priorities. The platform helps teams prioritize product trends by business impact.
- Nov 2022Seed$2.3M
#7
Acqui-Hired · Sydney, New South Wales · founded 2016 · 32 employees$13.6Mraised▾
Hyper Anna is a cloud-based data analytics and visualization solutions provider. It uses machine learning solutions for enterprises to gather, analyze, visualize data, and gain insights for better decision-making. It consumes data generated across various activities and different formats within the enterprise and allows users to query the data using natural language. The features of the product include workflow automation, collaboration, integration, etc. The clients of the company include Microsoft, Westpac, TravelEdge, etc. It provides solutions to industries such as finance, human resource, sales public sector, etc.
- Aug 2017Series A$12.7M
- Oct 2016Seed$951.5K
#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 · Brisbane, Queensland · founded 2001 · 3 employees$1Mraised▾
Leximancer is a software tool designed for analyzing natural language text data. It uses statistics based algorithms which gives initial analysis in much faster time. It extracts semantic and relational information from text documents to identify high-level concepts. The output is in the form of a concept map, network cloud, quantitative data, concept thesaurus. It does not need any training sets and has a minimal setup time. It could be used for survey analysis, market research, social media monitoring, transcript analysis, etc.
- Sep 2008Seed$1M
- Grant (prize money)$64K
#10
Seed · Adelaide, South Australia · founded 2016 · 14 employees$200Kraised▾
Daitum is an AI and cloud-based decision analytics software. Claims to have a proprietary technology that seamlessly matches client's specific problem to the algorithm for optimal output.
- Mar 2019Grant (prize money)—
- Dec 2018Grant (prize money)$730.8K
- May 2017Seed$200K
#11
Seed · Brisbane, Queensland · founded 2014 · 20 employees—raised▾
Obzervr provides a SaaS-based suite for field force automation in the mining, oil & gas industry which includes the mobile application, a web portal for scheduling and administration, and a business intelligence tool for data visualization. Provides features for field data collection activities. capture asset management information, documents and information transfer to field technicians, capture photos and videos, chain of custody for environmental monitoring samples, land disturbance recording, journey management, maintenance management, etc.
- May 2016Seed—
Funding & investor landscape
Notable founders
Market landscape — 10 sub-themes by coverage
Share of Business Intelligence coverage by sub-theme.
Regulatory-risk over time rising
Funding & growth over time
funding rising · growth flat
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.