RB
Founder and technical lead
Dr Richard Billingsley
Agent systems, AI, robotics, research direction, product architecture and commercialisation.
Sydney AI
An Australian embodied-AI company developing Patricia.
The project has grown from research in 2025 into agent software, physical prototypes and a focused commercialisation program.
Current stage
From technical foundations to demonstrations, integration and partner validation.
Our development story
Incorporation marks the next stage, not the beginning.
Work leading to Patricia began with investigation of embodied AI, VLA, reinforcement learning and robot systems. Focus then moved to the agent side: procedures, memory, interaction and controlled action.
Sydney AI Pty Ltd was formed in 2026 to develop, fund and commercialise the resulting Patricia program.
Team and contributors
A focused team with complementary roles.
The team combines technical leadership with testing, communications and specialist support, adding capacity as the roadmap requires it.
Testing and evaluation
Reliability and usability support
Testing behaviours, documenting results and helping distinguish repeatable performance from one-off demonstrations.
Communications and engagement
Public progress and community connection
Supporting social media, demonstrations, stakeholder communication and accessible presentation of the project.
Growing network
Specialist contributors and partners
Hardware, research, care-setting, development and commercial expertise added as the roadmap requires it.
Technical leadership
Experience brought into the Patricia program.
The work below belongs to the founder’s earlier career and is not presented as work completed by the newly incorporated company.
RoboCup and human–robot interaction
Research and development work associated with social robotics, language and planning, including the UTS Unleashed 2019 RoboCup@Home championship team.
Language, planning and computer vision
Academic and applied work across natural-language processing, AI planning, reinforcement learning, vision and agent systems.
AI used in operating products
Earlier systems for financial information, news analysis, forecasting, e-commerce and data-intensive applications.
Research programs and multidisciplinary work
Experience developing applied research, working with industry and supervising technical contributors.
Mathematics, business and AI
Cambridge mathematics, Stanford Sloan business education and a University of Sydney PhD in artificial intelligence and natural-language processing.
AI policy and publications
Research publications and written evidence on the long-term social and industrial effects of artificial intelligence and robotics.
How we work
Build, test, invite expertise and keep moving.
Evidence before theatre
Demonstrations should reveal the system, not hide it behind editing.
Purpose before novelty
A task matters because it helps someone or supports a viable service.
Open to challenge
Users, workers and specialists should be able to change the design.
Commercial discipline
Social benefit needs a sustainable delivery and support model.
Company registration
Sydney AI Pty Ltd
Registration details are provided here as an image rather than repeated throughout the website.
Work with the team