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HumaieLet’s talk

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Let’s make it more human.

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Whether you’re just starting to use AI in your workflow or a seasoned pro, we’d love to hear from you.

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Here, there, and with you.

Hobart

24 Davey Street
Hobart TAS 7000

Melbourne

477 Collins Street
Melbourne VIC 3000

Sydney

Suite 302, 13/15 Wentworth Avenue
Sydney NSW 2000

A little clarity

Good questions. A place to start.

Answers to common questions about our process, services, and how we work.

What does Humaie do?

We help organisations build AI capability safely and at scale — combining education, expert guidance, and our secure Multiplayer AI platform to turn isolated experiments into shared organisational intelligence.

Who is Humaie for?

We work with forward-thinking enterprises, government, and not-for-profits who want to use generative AI responsibly, build internal capability, and accelerate meaningful use cases.

How do we start using AI in our organisation?

We usually begin with AI 101 sessions and use-case workshops to build foundational understanding, surface opportunities, and rapidly validate them before scaling. This ensures your people are confident, building on their curiosity.

What is your typical project timeline?

Use-case development projects typically take 6–8 weeks. Scale and Grow is normally a scoped engagement.

What results can we expect?

Faster decision-making, stronger compliance, and measurable capability uplift — with organisations cutting work cycles from months to days and building lasting internal AI expertise.

Where is our data stored for the Humaie Platform?

All data is securely hosted on Microsoft Azure in Australia, meeting enterprise security and compliance requirements.

How do you handle privacy and risk?

At Humaie, privacy and risk management are built into every layer of our platform and client solutions. Our approach ensures that: Your data remains yours – All customer data is processed within your tenancy or a secure, regionally hosted environment. Data is never used to train, fine-tune, or improve external models. Strict access controls – Multi-factor authentication, role-based access, and workspace and project-based data separation ensure that sensitive information stays compartmentalised and auditable.