Connecting customers to their best-fit insurance cover through the apps and AI they already use.
Price comparison sites have transformed car insurance, but consumer behaviour is changing fast. Consumers now want to find the best deal wherever they search and insurers need to reach them there. Equally, Brands need their apps to make genuinely competitive offers, to all their customers, not just a few. Matchbox connects consumers, brands and insurers so that the right priced offers reach the right customers — wherever they search and buy. More efficient distribution means lower costs and allows savings to be passed on in three ways: faster brand growth, stronger insurer margins, and better consumer prices.
Existing models limit the ability to offer insurance competitively to more than a fraction of your customers. Matchbox changes that ratio — improving supply and economics to make a genuinely competitive offers many more customers.
Brands with scale are unlocking new distribution models, data and economics that lift both sales and margins — with no increase to underwriting risk. Analysis points to a 10× uplift in sales for partners.
Talk to Matchbox about brands →You've built precise risk rating and pricing systems. Now you need distribution that's equally precise. Matchbox puts your best price in front of your best-fit customers — wherever they search and buy.
Matchbox analyses where you send your best prices today and redirects them to active customers in brand channels, on demand. Best-price quote share rises from around 3% towards 50%.
Talk to Matchbox about insurers →You want the right cover at the right price, without the runaround. Matchbox works inside the apps and with the AI assistants you already use — so the right offer finds you, wherever you start.
With your permission, Matchbox retrieves your existing data and completes quote forms automatically. Less effort. More relevant offers. Always best-priced.
Learn more →Matchbox identifies when a customer is ready for a quote, so brand apps make relevant offers at the just right moment - enhancing relevance.
With the customer's permission, Matchbox retrieves existing data and completes quote forms automatically - lifting quote volumes
Matchbox analyses where insurers send their best prices and has systems to help actively redirect them to active customers in newly efficient brand channels.
Quotes are benchmarked against the market in real time - allowing brand and insurer to promote and consumer to buy with confidence.
When a quote is "just off" market-leading and matches a target risk profile, Matchbox flags it and enables the insurer and brand to correct the price to win - doubling conversions.
A live deal and data registry feeds AI platforms and enables efficient AI search, AI advertising and with it a new route to direct acquisition by brand and insurers alike.
No dead ends. No unnecessary steps. Matchbox orchestrates the entire journey — from first prompt to purchase — so customers trust their apps to deliver their best-fit cover.
Not just the easy wins. Matchbox restructures supply, pricing and distribution economics so a far greater share of your customer base gets an offer worth taking — and buys.
Sales and margins move in the same direction — without increasing underwriting risk. Modelling points to a 10× uplift in sales for partners.
Consumers are searching differently. Insurance offers need to show up in AI assistants and brand apps alike — consistent, accurate, and always best-priced.

Decades of experience in technology, venture investment and digital innovation, including a decade with Motorola as mobile commerce director and Amadeus Capital Partners as managing partner for their seed fund.
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Over 20 years of investment banking experience, including 15 years at Goldman Sachs as Director of Research for Europe and Global Co-COO of Equity Research. Also Co-Head of the Access Fund strategy at Salica Investments.
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Played a central role in Aviva's sale of RAC and the doubling of profitability at AA Insurance Services. Senior marketing leadership at Aviva, RAC, Legal & General and Aetna International.
LinkedIn →Engagements begin with an advisory phase to co-design the right build and integration - to deliver proof of this distribution models efficiency and then scale results.