Australian technology consultancy DiUS has signed a strategic collaboration agreement with Amazon Web Services (AWS) to help enterprises harness generative artificial intelligence (GenAI) for productivity gains and business innovation.
The agreement provides DiUS with deeper alignment to AWS programs, and enhanced access to co-funding opportunities, enabling accelerated progress across AI implementation journeys.
DiUS will focus on sectors where it has domain expertise; this includes financial services, retail, industrial applications, healthcare, and media and entertainment.
"Our strategic collaboration agreement with AWS enables us to amplify the impact of the work we're doing to help organisations adopt, implement and scale generative AI," Joe Losinno, co-founder at DiUS, said.
"We're not just infusing AI into platforms and products; we're also bringing hard-won expertise in the processes, practices and organisational shifts needed to embed generative AI and deliver real business outcomes."
The Melbourne-based consultancy is the first Advanced AWS Consulting Partner in Australia and New Zealand to achieve both AWS Machine Learning and Applied AI Competencies.
It has been an AWS partner since 2012.
DiUS specialises in helping businesses mature beyond basic AI implementations like copilots and chatbots towards agentic AI systems capable of planning, acting and adapting based on context.
"This strategic collaboration agreement builds on DiUS' more than a decade-long track record of delivering customer innovation with AWS," Chris Casey, director of partnerships for AWS Asia Pacific and Japan, said.
"By combining DiUS' deep technical expertise with AWS' generative AI capabilities, we're making it easier for Australian organisations to adopt and scale AI solutions that drive real business outcomes."
Recent client work includes developing production-ready prototypes for Pendula, an Australian-founded customer engagement platform that has expanded into the UK market.
The Pendula collaboration was for an agentic solution that let marketers query complex conversation data using natural language, built on Amazon Bedrock's managed environment.