AI strategy and advisory
Where to apply generative AI, and what production will require.
Company
About Coplanar AI
An Australian AI and cloud consultancy. Based in Melbourne. Working with organisations across Australia and the Asia-Pacific.
Coplanar AI Pty Ltd is an Australian AI and cloud consultancy focused on helping organisations adopt and operationalise modern cloud and artificial intelligence technologies.
We combine cloud engineering, software development, data, automation and generative AI to build practical systems that move beyond experimentation and into production.
From initial discovery and proof-of-concept through implementation and managed operations, we work with organisations to build secure, scalable and maintainable technology platforms.
The name refers to things that sit on the same plane. In practice that means the model, the data, the cloud platform and the workflow are designed together, so they can be operated as one system.
BasedMelbourne, Australia
ServingAustralia and APAC
RegistrationABN 14 702 093 696
How we work
Engineering first. Outcomes focused.
We describe platforms accurately. AWS, Anthropic Claude, Google Cloud and Microsoft Azure are technology ecosystems we build with. We do not present those names as partnerships, certifications or endorsements.
- 01
A written scope
Discovery produces a problem statement, constraints and success criteria. That is what a proof of concept is measured against.
- 02
Architecture before scale
Cloud, data, identity and the model boundary are designed before a prototype is treated as a production system.
- 03
No invented proof
We do not publish customer names, percentages or testimonials we cannot stand behind. Example engagements on this site are types of work, not case studies.
- 04
An owner at the end
Delivery includes how the system will be run. Managed services are available when the organisation wants that to remain with us.
Practice
What the company actually does.
Advisory, proof-of-concepts, project delivery, embedded engineering, managed operations and help for internal teams adopting AI engineering practices. The detail sits on the services, AI and cloud pages.
Proof-of-concept to production
A working build, then the security, scale and operating plan.
Cloud and application modernisation
Foundations and the applications that need to move with them.