Quantium launches Gemini Enterprise practice with Google

Quantium has launched a Gemini Enterprise practice with Google Cloud, becoming one of a select group of AI-native companies globally in Google Cloud's Gemini Enterprise transformation programme.

The new practice will build and deploy AI agents for enterprise clients on Google Cloud infrastructure. It will also provide access to sandbox development environments and technical resources to help teams move from prototypes to production.

The announcement formalises Quantium's artificial intelligence and data analytics work from its Sydney base into a dedicated services line focused on what the companies describe as agentic AI. The term refers to systems designed to carry out tasks with a degree of autonomy across business processes.

For Quantium, the partnership aligns its consulting and implementation work more closely with the cloud environment many large customers already use. The practice will serve clients across sectors including retail, financial services, healthcare, government and professional services.

Adam Driussi, Co-Founder and Chief Executive Officer of Quantium, said the company is already using the technology with customers.

"We are already building and deploying AI agents in production for enterprise clients. The partnership with Google Cloud gives our clients access to that capability directly within the infrastructure they're already running on, which matters when you're deploying agents at enterprise scale," Driussi said.

He said the new practice builds on the company's experience in regulated and operationally complex sectors.

"We've spent 23 years building deep industry expertise across retail, financial services, healthcare, government, and professional services. That knowledge is what makes agents useful in complex organisations, and it's what we're proud to bring to this partnership," he said.

Partner model

Google Cloud is using partners to expand adoption of its Gemini tools among large organisations, particularly among companies looking to move beyond trials and limited internal pilots. The model relies on specialist firms that can design workflows, integrate systems and oversee deployment within existing enterprise technology estates.

Paul Migliorini, Vice President of Google Cloud Australia & New Zealand, described Quantium's role as spanning both execution and advisory support.

"Partners are central to how businesses adopt AI, Quantium is a leading voice in helping many customers organise to transform around these new and highly transformative capabilities," Migliorini said. "With Quantium's dedicated Google Cloud AI practice, we are providing the specialised expertise and guidance our customers need to bridge the gap between AI experimentation and scale. By evolving their pilots into agentic workflows, we are helping our customers put AI into production and drive measurable impact across their business."

The launch comes as technology vendors and consultancies compete to define the market for enterprise AI agents. Many businesses have spent the past two years testing generative AI in small use cases, but wider adoption has often been constrained by governance requirements, integration work, data access limits and uncertainty over operational returns.

Against that backdrop, cloud providers have increasingly sought to package models, infrastructure and implementation support into more structured programmes for corporate buyers. Quantium's new practice fits that shift by offering a dedicated path for clients that want AI systems built on Google Cloud rather than as stand-alone experiments.

Sector focus

Founded in 2002, Quantium has built its business around data analytics, decisioning and applied AI. Its work has ranged from customer intelligence and demand forecasting to fraud detection and broader generative AI programmes. The company counts Woolworths Group, Commonwealth Bank, Telstra, Discovery and Dollar General among the organisations it has worked with.

That background may prove relevant as companies look for industry-specific AI deployments rather than generic chatbot projects. In sectors such as retail and banking, the commercial case for AI often depends less on the model itself than on whether it can be tied to existing decision systems, compliance processes and operational data.

Google Cloud, for its part, is positioning Gemini within a broader stack that includes infrastructure, models, data management, security tools and developer software. For customers, the appeal of a partner-led approach is often that it reduces the amount of custom assembly required when moving from testing to production.

The companies did not disclose financial terms. Quantium said the practice would provide specialist expertise in agentic AI development to customers across industries, with a focus on building AI agents for enterprise use on Google Cloud infrastructure.