Noizend founders George Tulloch and Paul Monsted pitching to a VC within the City of Sydney LGA
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cutting edge Physics AI

Noizend is building the physics-informed AI to measure, predict and eventually cancel low-frequency noise, the part of noise pollution that concrete, distance and regulation haven't been able to stop. This page is a high-level look at our mission, our progress and the team behind it.

01 / Why this problem, why now

Noise is a global problem.
We're engineering a solution.

Long-term exposure to environmental noise is now cited as a top environmental risk to health, and the hardest part to control is the low end. Below 200 Hz, sound travels for kilometres, bends around barriers and passes straight through the walls built to stop it.

We started Noizend to give consultants, operators and communities a defensible way to measure the noise, predict where it goes, and eventually cancel it, not with more concrete, but with physics AI, microphones and speakers delivering a technological solution.

02 / What we've built

One pipeline: measure, predict, cancel.

Noizend Shield ships as three products in sequence, each de-risking the next.

Available first

Noizend Analyse

Turns a short microphone survey into a full 20–500 Hz noise map of a site, evidence-grade data for regulators, councils and operators. Shipping shortly.

In development

Noizend Predict

Forecasts the noisy periods before they happen, so operators can act ahead of a breach instead of reacting to a complaint.

In development

Noizend Control

Active cancellation at the source and at the boundary, physics AI, microphones and speakers targeting the low frequencies passive measures can't stop.

03 / The market

A market being rebuilt around the low end.

Noise control has been a materials industry for a century, mass, insulation, distance. The physics-AI segment of that industry is where the growth is.

$8.2B

forecast size of the global active noise & vibration control market by 2030, up from $6.3B in 2026

27%

annual growth rate of Australia's energy storage systems market, Noizend's first target vertical

250GW+

global battery storage capacity passed in 2025. Every gigawatt is a new site with a noise problem

Figures from third-party market research (active noise & vibration control market sizing aggregated across multiple 2026 industry reports; Australian energy storage market sizing from Grand View Research / Mordor Intelligence; global BESS capacity from Rystad Energy), not Noizend's own projections.

The infrastructure that generates the most low-frequency noise (battery storage, data centres, ports, mining, renewables) is being built at a pace and a proximity to communities, it has never been built at before.

And the part of the noise control market built for that specific problem, active, AI-driven control, is growing roughly twice as fast as the traditional passive-materials market it sits inside.

04 / Why this is hard to copy

The industry is built for a problem this isn't.

Noise control today is dominated by passive materials: barriers, enclosures, insulation. Below 200 Hz, that toolkit runs out of road.

The status quo

Passive, static, modelled

Mass and enclosures sized for mid- and high-frequency noise. Designed once against a generic acoustic model, then left to do the same job regardless of how the source actually operates.

Noizend

Active, adaptive, measured

Physics-informed AI built specifically for the 20–500 Hz band standard materials don't reach. Measures the real noise field, and can respond as conditions on site change.

05 / How this becomes a business

Three products, one customer relationship.

Noizend sells into the same customer as it grows: the operator responsible for a site's noise compliance.

Analyse

Project-based: a measurement campaign and a defensible noise report, sold directly to site operators, councils and acoustics consultancies.

Predict

Recurring: ongoing monitoring and forecasting for sites that need continuous compliance evidence, not a one-off report.

Control, plus a channel

Noizend's MOU with AKA Acoustics gives a path to market through an established acoustics consultancy, alongside direct sales as Control moves from pilot to commercial deployment.

06 / Who's building it

The people building it.

Founder and CEO

Paul Monsted

B.Comm, LL.B, LL.M.

Commercial lead & project management. Founded Australia's first online payment technology company. Author of textbook on the Company Secretary.

Founder and CTO

George Tulloch

PhD Candidate - UTS FEIT

Acoustic engineering and AI development. A technologist raised in an Australian solar start-up, now leading Noizend's sound-field modelling and active noise control.

07 / Where we're at

Early, and moving.

Backed by grants and support from the NSW Government and the City of Sydney.

Research partnership with UTS's Centre for Audio, Acoustics and Vibration.

Accepted into NVIDIA's Inception program, with a technology donation from Autodesk's Technology Impact Program.

Selected for the Supercharge Australia clean-tech incubator, and pitched in the final week of Blackbird Giants Cohort 11.

Made formal submissions to the NSW and Commonwealth inquiries into data centres, and featured on ABC's Dr Karl's How Things Work discussing low-frequency noise research.

Approached by major Australian and international energy companies for pilot noise-reduction work at battery storage sites.

Backed and supported by
City of Sydney
NSW Government
University of Technology Sydney
University of Technology Sydney
University of Technology Sydney
University of Technology Sydney

Interested in investing in Noizend?

We're not running an open raise on this page. If you'd like to learn more about Noizend and discuss investing, get in touch directly.

Email info@noizend.com

This page is general information about Noizend and does not constitute an offer, invitation or recommendation to acquire securities or any financial product, and should not be relied on as investment or financial advice.

Reducing noise pollution and protecting people at home, at work, and in their community, using Physics AI.

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