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Sydney fintech LendUs raises $5m for AI home-loan broking

Sasha Cole by Sasha Cole
July 13, 2026
in Funding
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Keys with a house model, Euro bills, and charts suggesting real estate and financial themes.

Photo: Jakub Zerdzicki / Pexels

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Sydney mortgage fintech LendUs has raised a $5 million seed round led by Carthona Capital to embed AI-powered home-loan broking inside the apps and websites of other brands, comparing more than 30 lenders in minutes.

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The round, first reported by Startup Daily, attracted close to double its committed capital before the company capped it, according to the outlet.

LendUs was founded in 2023 by 26-year-old chief executive Dean Mendelowitz, a former data scientist at buy-now-pay-later group Zip, alongside Brad Lindenberg and Graham Mendelowitz.

The founding team carries notable fintech history. Lindenberg sold US instalments business QuadPay to Zip for $403 million, and Graham Mendelowitz founded specialist lender MKM Capital, later acquired by MA Financial Group.

What LendUs actually does

LendUs is not pitching another consumer comparison site. It sells a white-labelled, plug-and-play broking layer that brands, member organisations and digital platforms can drop into their own ecosystems.

The platform combines data analytics, Open Banking and AI to compare more than 30 lenders, pair borrowers with a home-loans adviser, and complete most of an application in minutes. A cashback program sits on top.

Startup Daily reports the company has already signed more than 20 integrated partnerships, and that over 10,000 users have compared home loans through the platform to date.

Mendelowitz told Startup Daily the raise would fund investment in AI to automate application preparation and strip out manual work from the mortgage process. FluentSea has not independently verified the company’s traction figures, which come from the founders.

A crowded, fast-automating market

LendUs is entering a segment of Australian home lending that is automating quickly, and where mortgage brokers now originate the clear majority of new loans.

The larger incumbent Lendi Group has rebuilt its platform around agentic AI. As iTnews reported, applications running through Lendi’s AI-driven “Guardian” experience move about 60 per cent faster, and its brokers now complete six to seven applications a day, up from three.

Lendi integrates with more than 30 lenders and supports roughly 1,300 brokers nationally, a scale LendUs will have to reckon with as it courts distribution partners.

The difference in approach is instructive. Lendi is applying AI to make its own broker workforce faster; LendUs is trying to make broking a feature that non-lenders can offer their existing customers, without building a broking business themselves.

LendUs is also not the only fintech chasing embedded mortgage tooling. Startup Daily has previously covered broker platform Effi, which raised a $1.2 million seed round to build AI tools for brokers, underlining how much venture interest is pointed at the plumbing of Australian home lending.

Why it matters for Australia

The home loan is the single largest financial decision most Australians make, and the channel through which they get one is shifting under them.

Embedding broking inside third-party apps could widen access to lender comparison for borrowers who never visit a broker, potentially improving competition against the major banks. It could also concentrate a sensitive, regulated process inside AI systems that most consumers cannot see.

That raises real questions for the sector. Automated application preparation touches credit advice, responsible-lending obligations and Open Banking data, all areas the Australian Securities and Investments Commission and the Consumer Data Right regime watch closely.

There is a sovereignty and skills angle too. LendUs, Lendi and Effi are Australian-built companies keeping this AI capability, and the data-science jobs behind it, onshore rather than importing broking technology from offshore vendors.

Our analysis: The capital and the founders’ track record give LendUs credibility, but distribution is the whole game for embedded finance. Twenty partnerships and 10,000 users are an early signal, not a moat. The company’s advantage will come from whether large consumer brands trust it to run a regulated broking flow under their name, and whether its AI genuinely shortens approvals without cutting corners on responsible lending. On both counts, it is competing against better-capitalised incumbents already deploying agentic AI at scale.

Sources: Startup Daily, SmartCompany, iTnews, Startup Daily (Effi).

Tags: embedded financefintechmortgageseed fundingSydney
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Sasha Cole

Sasha Cole

Sasha covers Australian AI startups, venture funding and founder stories for FluentSea.

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