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Wollongong Startup SkyBridge AI Secures $12 Million Series A Funding

A local machine-learning firm focused on supply-chain resilience has just secured $12 million in Series A funding-and it's solving problems that matter far beyond our city.

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By Wollongong Tech Desk · Published 25 July 2026, 10:00 am · written 2 July 2026

2 min read

Updated Sat, 29 Aug· 29 August 2026, 8:20 am

AI-assisted · risk-based human review

AI-assisted journalism under human editorial accountability and risk-based review. AI may assist with research, summarising and drafting. Where public source links underpin the article, they are shown below. Sensitive material is held for human review; some lower-risk material may be published automatically after sourcing, accuracy and safety checks. The Daily Wollongong covers Wollongong news. It is provided for general information only and is not professional, legal, financial, or medical advice. Read about our editorial care →

Links to sources include (but not limited to): startupdaily.net

Wollongong Startup SkyBridge AI Secures $12 Million Series A Funding
Photo: Maksym Kozlenko / Wikimedia Commons (CC BY-SA 3.0)

Amid global uncertainty-from geopolitical tensions reshaping energy infrastructure to natural disasters disrupting humanitarian logistics-Wollongong's SkyBridge AI has emerged as a quiet but formidable player in enterprise resilience technology.

Founded in 2023 by four engineers who met at the University of Wollongong's Innovation Hub on Northfields Avenue, SkyBridge has spent three years refining machine-learning models that predict supply-chain fractures before they happen. The startup, which operates from a converted warehouse in the Port Kembla precinct, announced its Series A round of $12 million USD yesterday, led by venture capital firm Hakuhodo DY Holdings, with backing from Australian Climate Ventures.

"What we're doing," explains the company's public materials, "is giving enterprises the ability to see three to six months ahead in their supply networks-to identify weak points, redundancies, and risk concentrations that traditional software can't surface."

The timing couldn't be sharper. With Ukraine's infrastructure under sustained bombardment, Venezuelan earthquake responses hampered by logistics failures, and trade routes subject to geopolitical whiplash, corporations managing global operations face unprecedented uncertainty. SkyBridge's platform ingests data from shipping manifests, port authorities, weather systems, and geopolitical risk indices, then applies neural networks trained on two decades of disruption data.

The startup has already signed three Fortune 500 clients-none publicly named, per their confidentiality agreements-in manufacturing, pharmaceutical distribution, and food logistics. Early-stage pilots reportedly identified cost-savings between 4 and 7 per cent through optimized routing alone.

What makes SkyBridge distinctly Wollongong is its grounding in Australia's own supply-chain vulnerabilities. The city's port and heavy-industry heritage meant the founders understood, viscerally, how a single disruption-a strike, a weather event, geopolitical pressure on resource exports-cascades through entire networks. That local knowledge became their intellectual foundation.

The funding injection will allow SkyBridge to double its engineering team from 18 to 36 staff and expand its offices along Crown Street's burgeoning innovation corridor. The company is also partnering with UOW's Faculty of Engineering to pilot predictive models for renewable-energy supply chains-a natural extension of work already underway.

For a city historically defined by steel and coal, there's a pleasing symmetry: Wollongong's next competitive advantage may well rest on the ability to predict-and prevent-the cascading failures that define our interconnected world.

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Source material used in preparing this article is listed below so readers can check the original record.

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Published by The Daily Wollongong

Covering technology in Wollongong. Written by AI from the linked sources and not reviewed by a journalist before publishing. Sources are linked where available. Spotted an error or need a correction? Contact corrections@dailynetwork.news. Our reasonable editorial care.

Beta: AI-assisted and human-overseen. Details may be imperfect, so please verify anything important.

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