As Australia continues to adopt new-age technology solutions, the region has steadily advanced its artificial intelligence-based innovations. The AI market has grown substantially across the country, and multiple businesses have set up shop in cities like Melbourne to build out AI solutions of their own. Learn more about some of the local companies building tomorrow’s AI-powered solutions.
AI Companies in Melbourne
- LexX Technologies
- Brane
- See-Mode Technologies
- ConnexAI
- Marqo
AI Companies in Melbourne to Know
LexX Technologies develops intelligent digital tools for technicians responsible for maintaining equipment, machinery, infrastructure and assets. Its AI SaaS offerings include its xAssist product, a generative AI copilot tool equipped with natural language processing and machine learning capabilities. xAssist helps with troubleshooting and gathering safety insights.
Brane is a social networking platform that leverages artificial intelligence to match users with like-minded peers. It works to foster connections among businesses, clubs and communities while keeping user data private. Once users customize their profiles, Brane automatically matches them to others based on interests and location.
See-Mode Technologies is a medical technology company developing AI-augmented ultrasound reporting software. Its platform automatically reads and assesses ultrasound images. The company’s solution works to uncover additional insights in medical imaging, helping clinicians produce more accurate reports and improve patient outcomes.
ConnexAI built a customer engagement solution that helps enterprise businesses customize their customer journeys, optimize their workforce, gamify features and contact center operations using AI. Its generative and conversational AI tools — including AI Agent, AI Analytics and AI Voice — aim to help teams enhance their internal processes and transform customer interactions.
Marqo provides businesses with a vector database and search engine for text and images. The company’s solution helps developers expedite the prototyping, iteration and deployment of over 150 embedding models. This enables them to build AI applications and optimize their retrieval stack with techniques like reranking, hybrid search and filtering.
