Partners and supporters

Different people can move Patricia forward in different ways.

We welcome practical collaboration around social value, technical evidence, commercialisation and responsible deployment.

What helps most now

Real tasks, informed feedback, technical collaboration, introductions and development funding.

People & families Care providers Government & grants Developers & researchers Hardware partners Funders & investors

People, families and advocates

Define what useful and respectful really means.

People receiving support and those close to them can identify needs that technology teams overlook.

Possible value

A familiar way to ask for help or connect
Support for agreed routines and independence
More continuity across people and devices

How to contribute

Suggest a worthwhile, bounded task
Review language, appearance and control
Identify risks and unwanted behaviour

Care and supported-living organisations

Find tasks that fit real workflows rather than a laboratory story.

Providers can help select activities, define staff handover and determine whether Patricia saves effort or improves continuity.

Possible value

Routine communication and follow-through
Remote presence and visitor support
Observable non-clinical activities

How to contribute

Design-partner conversations
Workflow and safety review
Future supervised evaluation setting

Government and grant programs

Support Australian capability with a clear social and commercial pathway.

Patricia brings together embodied AI, responsible agent design and potential care-sector benefit in an Australian-owned software program.

Public-interest case

Independence, connection and continuity of support
Responsible AI and human control
Australian embodied-AI capability

What funding enables

Hardware integration and reliability
User research and safety evaluation
Commercial validation and pilot preparation

Developers, researchers and future team members

Help solve hard problems without losing the human purpose.

Relevant areas include agent architecture, robot learning, VLA, navigation, simulation, evaluation, interaction design and accessible interfaces.

Possible collaboration

Research studies and student projects
Platform or sensor integration
Evaluation methods and scenarios

What we value

Working evidence over fashionable claims
Clear interfaces and reproducibility
Respect for users and operational settings

Robot, hardware and technology partners

Make embodiments serviceable, safe and useful.

Patricia should remain portable across suitable platforms while making good use of each robot’s mobility, sensing and interaction abilities.

Partnership areas

Robot APIs, navigation and manipulation
Safety, charging and remote support
Local compute, sensors and connectivity

Mutual opportunity

Compelling application demonstrations
Australian integration and support
Feedback from demanding real settings

Funders, investors and commercialisation supporters

Back a staged path from technical foundations to repeatable value.

The immediate objective is evidence: demonstrations, partner validation, a bounded pilot design and a commercial model grounded in actual work.

Why the approach can scale

Software and procedure value across embodiments
Multiple settings sharing core capabilities
Research foundations already moved into a prototype

Near-term use of support

Engineering and integration capacity
Testing, safety and partner evaluation
Commercialisation and market development

A concrete next step

Tell us what you can bring—and what you need to see.

Start a conversation