WhenFresh are delighted to announce that UK-wide LIDAR data from Fusion Data Science is now available via the WhenFresh API – the one stop “data supermarket” for residential property attribute, risk, perils, environmental and geospatial data.
Fusion Data Science’s modular datasets provide highly accurate & current geospatial property measurements for a variety of Financial Service & Insurance applications, including:
> Building extent at ground and gutter level
> Building storey count
> Building volume, floor space and height
> Roof shape, slope & area
> Altitude above sea level
> Building ground slope & gradient
WhenFresh has drawn together over 200 high quality datasets in one place and provides access to our own proprietary datasets and public feeds (such as Land Registry) side by side with partner data from the likes of Zoopla, CLS, Airbus, Future Climate Info, JBA, Bluesky, and many, many more – so we are delighted to welcome Fusion Data Science to the WhenFresh family of data partners
To find out more about these new data items and how they can benefit your business – or if you are a data owner with datasets that have applications in the UK Lending, Insurance, Utility, Governmental or Property sectors, please Contact Us today.
Friday November 22nd 2019 saw the prestigious Insurance Times Awards event at the Grosvenor House Hotel, with WhenFresh beating 6 other finalists to scoop Gold in the ‘Excellence in Technology – Service Provider’ category.
WhenFresh CEO & co-Founder Mark Cunningham (proudly sporting his Movember moustache!) was delighted to receive this coveted award from Richard Beaven, Chief Operating Officer of award-sponsor Brightside Insurance, alongside comedian Greg Davies, who hosted the event.
In announcing WhenFresh as Gold award winners, Richard Beaven reported the judges had said: “WhenFresh impressed with their clear business model. We love what they do and they aren’t afraid to go in a different direction.”
It was a strong field, with the other 6 shortlisted finalists: Cytora (who were awarded Silver), Blocksure (Bronze), Adapt Ready, Albany Group, GB Group’s Loqate and a joint entry from Instanda, Deloitte Digital & AXA XL.
Mark Cunningham told Insurance Times: ”It means everything to win this award. It’s been three years of development, many millions of investment and a number of partners to get us there.”
To find out more about WhenFresh and the Residential property ‘Data Supermarket’ we’ve built for Insurance, Financial Services and other sectors, please contact WhenFresh today for a demo – and please follow WhenFresh on LinkedIn:
The WhenFresh API “Data Supermarket” was launched direct to end-users in 2018. However, big data users in sectors such as Insurance and Financial Services have been relying on WhenFresh data for years – but it has often been supplied via major resellers such as Experian, Equifax, GB Group, TransUnion, Acxiom… or other well-known suppliers for whom WhenFresh build white-label data products.
Wherever home insurers are employing property attribute, risk & perils data to simplify and speed up the application process, the road very often leads back to WhenFresh – who build the data products for many of the traditional “big name” big data suppliers.
November 2019 – London: Leading insurance industry media outlet Intelligent Insurer has just announced its global Hot 100 InsurTechs, with WhenFresh named alongside other industry disrupters such as Flock, Instanda, Lemonade, Neos, Previsico and Trov.
“We’ve been enjoying a good deal of media attention since launching the WhenFresh API ‘Data Supermarket’ direct to the UK home insurance sector” states WhenFresh Director of Marketing, David Morley. “We’re delighted to be named in Intelligent Insurer’s global Hot 100 InsurTechs – especially as it comes hot on the heels of WhenFresh being announced as finalists for the Insurance Times Awards, joining the Insurtech UK eco-system as a full member and announcing our sponsorship of the excellent Instech London network”.
Click here to try the free demo of the WhenFresh API and see the range of individual property-level attributes, risk, peril, environmental, geospatial and valuations data that we can instantly provide for any UK residential property simply by entering the address.
Or visit Intelligent Insurer to view the global Hot 100 InsurTechs.
With one-third of customers giving up on lengthy question sets, will insurtech powered zero-questions-asked insurance quotes revolutionise the process?
InsTech London describes itself as the The Insurance Technology Innovation Community and runs regular, inexpensive evening events at the Steelyard venue in the City of London – and we’re delighted to announce that WhenFresh have become one of the organisations newest sponsors.InsTech London is jointly run by InsurTech influencers & thought-leaders Paolo Cuomo, Robin Merttens & Matthew Grant and the website states: “The primary purpose of InsTech London is to pull together a group of innovators, entrepreneurs, investors and professionals from across the market and enable them to meet like-minded folk and provide them with a hub to explore together ways to maximise the opportunities offered by technology.”
WhenFresh CEO & co-Founder Mark Cunningham has already spoken at one event and we’d highly recommend you check out their forthcoming events here if you’re not already familiar with them.
The Insurance Times features insurance & insurtech thought-leaders from WhenFresh, Willis Re, Davies Group, BDO, Previsico and Axis Digital Ventures in this intriguing piece. Read the full feature here (reproduced by kind courtesy of Insurance Times) or login to your Insurance Times account here.
“The truth is that a good number of insurers, banks and other big data users have been using WhenFresh data for years, but we’ve often been the ‘secret ingredient’ in a wider solution…”
The Insurance Times have just released the shortlists for its coveted annual Awards – and WhenFresh are delighted to have been announced as finalists in the Excellence in Technology category.
The WhenFresh API is is the accessible “data supermarket” for residential UK home insurers and provides instant access to hundreds of attribute, risk, perils, environmental, geospatial and valuation data points for a wide range of applications, including form prefill, risk, pricing and reinsurance. To try the WhenFresh API for free, visit https://my.api.whenfresh.com/try-it-out or call us on 020 7993 5818.
Congratulations also to our friends at Uinsure who have also reached the finals in the Insurer Innovation of the Year. WhenFresh data powers Uinsure innovative and disruptive “zero questions” solution.
Winners will be announced at the Awards dinner event at the Grosvenor Hotel on Friday 22nd November 2019 – and full details of the event and finalists can be viewed here.
9am-11.30am, 25th June 2019 – WhenFresh/CLS Data offices, St Pauls, London
WhenFresh hosted its first Breakfast Briefing event for Insurers, supported by key data partners: Zoopla, Airbus, CLS Data, BlueSky, Fusion Data Science, Cranfield and Terrafirma – to discuss how to reduce residential home insurance quote forms to one simple question: “What is the address?”
It’s not possible to get a high level of accuracy for property insurance from the question ‘what’s the address?’ … Or is it?
A team that has brought a multitude of big data sources together in what it has called a “data supermarket” suggests that it is.
At its recent big data briefing, insurtech firm WhenFresh explained how its API uses more than 200 private and public data feeds, from sources such as Airbus, Zoopla and Bluesky among others, to autofill inbound insurance quote forms using just the address of any residential property in the UK.
Mark Cunningham, CEO and co-founder, said: “The idea of the API (application programming interface) is to composite data sets from a multiplicity of data sources and make it easy to use, so you could be looking at any aspect of form filling, or enrichment or looking at book value or reinsurance.”
Information can include the type of building, number of rooms and when a house was built, as well as the soil type it is built on, whether it is likely to flood, and the height and proximity of trees and other buildings nearby.
The company launched its big data insurtech direct to insurers in April 2019 and Cunningham said the tech firm had already done integrations “in less than half a day with proper blue blood insurers”, adding, “this is easy to use stuff”.
Speakers at the briefing, from a range of WhenFresh’s data providers, explained how different data types can spot and prevent fraud and offer a deeper understanding of the insurance risk in real time.
Richard Donnell, Zoopla research and insight director, said the property marketing, software and property attributes data business supplies its listings data to WhenFresh.
“It’s a rich data set of property attributes, flagging when properties have been listed for sale or rent, there’s a whole range of triggers and flags that you can do around that data.
“As I see it, the property listings is the tip of the iceberg and is part of a much bigger data set that we’re looking to explore as a business around leads and consumer interaction, understanding what’s driving demand for property, and the likelihood of it to sell.
“The big data scientists at Zoopla are now building up all sorts of AI and machine learning models around property descriptions to model forecasts.”
Donnell said Zoopla provides around five or six years of history and reasonably good coverage. But he added: “There’s a lot more we could do subject to whatever demand there is for more of this information and things that correlate to what drives loss around insurance and that sort of thing.
“We’ve got a pretty good track record of understanding of collateral value and home valuations with our Hometrack business, which is a data analytics business leveraging data around collateral values.”
CLS Data Limited provides data around transacting or holding property meaning they can map risks from the title of property and its physical characteristics.
Andy Lucas, marketing development director at CLS, said: “[The data] allows you to drill down, tracking through various titles linking into Companies House data to understand the directorship, and is it a phoenix company sitting behind this transaction?
So that automatically gives you some triggers for fraud detection, it allows portfolio analysis to link in the financials of the ownership to see if [the owner] Mrs Brown isn’t Mrs Brown at all and she is transacting on behalf of somebody else and is a potential fraudster.”
Also speaking at the briefing, Rob Carling, senior business development manager at BlueSky, highlighted how data from his firm’s aerial photography, LiDAR, thermal mapping, tree mapping, Ordnance Survey and GIS, could help insurers manage subsidence risks better.
He said trees are a big influence on house subsidence as they suck more moisture out of the ground in hot weather. Looking to the future he added: “We think aerial photography will go 3D. This means you can fly around the property and do fly throughs. This is the way this data is moving.”
Speakers from Airbus, Fusion Data Science, Cranfield University and Terrafirma all highlighted how the data their organisations provides to When Fresh helps to build a richer more accurate picture.
From Airbus’ big data sets from its satellites mapping flood risks, subsidence and soil types, Cranfield University’s in-depth study of the 1,000 different types of soil in the UK and what it means for the houses built on them to Terrafirma’s mining, ground and environmental information and Fusion Data Science’s software that models the world in 3D using AI to calibrate sensor data and satellite imagery, all the data providers help build a clearer picture of risk, one which looks like it is only going to keep getting more accurate.
Article reproduced courtesy of Intelligent Insurer. To login to Intelligent Insurer or to claim your 2 week free trial click here.