Hiizzy Takes On the 500,000-Fall-Through Problem With a Transaction-Ready Sales Model
A Jersey-founded PropTech has gone live in Manchester, Liverpool and Leeds with AI-assisted listings designed to front-load legal groundwork before a single offer lands. The UK residential sales process loses an estimated £1.5bn a year to failed transactions - and Hiizzy is betting that earlier data is the fix.

The Problem in Numbers
The UK home-buying machine is slow and leaky. (cite index="53-7">The average period from offer acceptance to completion runs at around 120 days, and approximately 500,000 transactions fall through annually at an estimated economic cost of £1.5 billion.</cite> That figure has resisted every procedural nudge thrown at it for two decades. Hiizzy thinks the failure point is structural, not behavioural: material information reaches buyers far too late.
What Hiizzy Actually Does
(cite index="53-1">Property technology company Hiizzy has launched a home-selling platform targeting Greater Manchester, Liverpool and Leeds, aiming to make properties transaction-ready from the point of listing.</cite> The mechanism is straightforward on paper: (cite index="53-4">the service brings together legal documents, seller information, forms and regulated searches before an offer is agreed, with the aim of reducing duplication and avoidable delays.</cite>
(cite index="48-7">It also provides AI-assisted listing tools, property marketing, direct communication between sellers and buyers, and access to professional services.</cite> HM Land Registry and Street Data are among the platform's data partners, giving the upfront pack a degree of official provenance rather than relying solely on seller-supplied information.
Pricing is fixed-fee. (cite index="53-5">Homeowners can sell directly to buyers through a fixed-fee, no-commission model, with pricing starting at £179 per month.</cite> (cite index="48-9">Listings can also be placed on Zoopla.</cite> The no-commission angle places Hiizzy in the same disruption bracket as earlier online agency models, but the transaction-readiness framing is materially different: the pitch to buyers is certainty, not just cost savings for sellers.
Why the North First
(cite index="48-13,48-14">Allan Wood, co-founder and chief commercial officer at Hiizzy, said the Manchester, Leeds and Liverpool tri-city region was selected as a launchpad partly because it combines significant property transaction volumes that recently surpassed London's for the first time in 20 years.</cite> That regional data point matters: a platform launching into a high-volume, price-sensitive market outside London gets a stress test that a Kensington pilot never would.
(cite index="51-6">Hiizzy won the Start-up category at last year's Jersey Tech Awards,</cite> and (cite index="47-2,47-3">has been selected for PwC's 2026 Scale PropTech Programme, chosen from over 700 companies</cite> - validation that at least some institutional eyes see the model as credible. The PwC cohort selection is notable because it signals buy-side interest from lenders and conveyancers, both of whom stand to benefit from standardised upfront data.
The Conveyancing Parallel
Hiizzy is not operating in a vacuum. (cite index="52-2">Analysis of 500 property transactions using a lawtech model from Conveyo shows fall-throughs below 5%,</cite> compared with the sector-wide average of roughly 25-30%. The directional evidence for front-loading legal process is building. (cite index="49-6,49-7">Buyers benefit from listings where key information is accessible and standardised upfront, reducing the cost, time and uncertainty of progressing a purchase, while conveyancers, lenders and advisors downstream face fewer repeated information requests.</cite>
The addressable market for Hiizzy's model therefore runs wider than sellers: every downstream professional whose workflow depends on consistent, early data has an incentive to push sellers toward transaction-ready platforms.
The Trademark Signal
The appetite for new property technology business models is visible in intellectual property filings as much as in press releases. According to AIBD analysis of IPO (TMD) data, Class 42 UK trademark filings, covering software and technology services (the classification most PropTech firms use to protect digital platforms), reached 8,075 in Q3 2026, up 9.2% on the prior period. That rate of filing reflects a sector still in active product differentiation mode, with new entrants staking IP claims rather than ceding the field to incumbents.
What the Numbers Don't Yet Show
Hiizzy is angel-funded and operating in three cities. The £1.5bn fall-through cost is real, but capturing a fee of £179 a month against a market that processes roughly 1 million completions annually means the unit economics depend entirely on volume and conversion of the no-sale-no-fee model into paid subscriptions. (cite index="22-11">A July 2026 survey of more than 340 self-managing landlords found 92% still ran their lettings on spreadsheets or paper rather than on dedicated software</cite> - a reminder that even the most obvious PropTech gaps take longer to close than pitch decks suggest.
Broader adoption numbers do point upward. (cite index="25-5">AI leasing assistant adoption among letting agents increased from 8% in 2024 to an estimated 23% by early 2026,</cite> suggesting the sector can shift fast once a use case proves itself operationally. If Hiizzy's tri-city trial generates fall-through data comparable to what Conveyo has shown in conveyancing, a Series A conversation will follow.
For now, the bet is simple: give buyers the information they need before they make an offer, and the 120-day nightmare starts to shrink. It sounds obvious. It has taken the industry 30 years to try it properly.
