About Alive Data
Consumer intelligence,
built by household.
A global, AI-enabled consumer intelligence company. We turn real-world signals movement, spend, lifestyle and attributes into one continuously refreshed, household-level view of the Australian consumer. Privacy-safe by design.
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Founder Quote
“I started Alive Data because brands were drowning in data but still guessing about the people behind it. We’ve spent years building the technology to resolve real-world signals to the household so a marketer can finally see who their customer is, where they’re going, and what they’ll do next, without compromising anyone’s privacy. That’s the company we’re building: consumer intelligence that’s precise, predictive, and trusted.”
Hanni Ishkan
Founder & CEO, AliveData
Our Approach
One profile. Every signal. Resolved to the household.
Proprietary spatial technology resolves billions of monthly signals to the household not a postcode, not a guess. Deterministic where we can be, modelled where it adds reach, layered with 700+ attributes into one living profile.
Household-level precision at national scale is what off-the-shelf data can’t match.
Why Alive Data
Built to Travel.
Australia is our flagship market: live today and mapped at a household level. The same privacy-safe methodology scales into Asia Pacific, the USA, the GCC and EMEA through local data partnerships.
- Live
Our flagship market 20 million consumers mapped at household-level precision, built from 30 billion monthly signals across movement, spend, attributes and transactions.
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- Coming online · TBA
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Bringing the same consistent, privacy-safe standard to Europe, the Middle East and Africa through strategic partnerships as the region comes online.
The Team
The people behind the platform.
Hanni Ishkan
Founder & CEO
Tim Loane
Head of Data & Technology
Naveen Angaru
Advisor
Siva Sadasivam
Financial Advisor
Trust by Design
Trust, built in not bolted on.
Consumer first
The consumer is an interested party with rights over their data.
Privacy at source
Every contributor warrants compliance before data enters.
Audited
Contributor onboarding + annual audits by dataset.
Opt-out that follows
Up- and down-stream opt-out across the whole data flow.