Are you a property developer?

At Houseprice.AI the team have produced this short video to give you an overview of how our app, Horizon, helps Property Developers.

We do what we do best, to let you do what you do best. Saving you time researching and increasing profitability.

Click the image to watch the video


Horizon - Insight

Drill down into any postcode in England and Wales
Check prices for sales and rental
Easily identify hotspots
Find the areas that will give you maximum yield
Check listing and historical comparables

Horizon - Reactive value reports

Sales and rental values
RICS Red Book compliant comparables
EPC Data
Location
Distance to amenities
Email, print, share on social media

Horizon - Projects

Add one property or your entire portfolio
Revalue at any time
Copy your property and value it before and after conversion
Group projects by any category
export to csv

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Houseprice.AI is a RICS Tech Affiliate

The Top 10 Cities Index April 2019

Do you want to know where the UK residential market is going?

Take a look at our latest report for April that analyses the UK residential property market and uses several AI based methods and new benchmarks to forecast future trends.

Our full reports include forward value predictions and reveals some interesting developments in both regional and urban property markets.

Click the image below to see a video introducing our 10 Cities report.

Click the image to watch the video


At Houseprice.AI we are committed to giving our clients advanced, accurate and granular data analytics and solutions.  If you would like a copy of the full version of this report, our Regional Overview reports, or to find out more about what we can do to help your business, please contact us at:
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Houseprice.AI is a RICS Tech Affiliate

Can your AVM value a New Build?

Using Machine Learning Houseprice.AI can

Unlike 95% of traditional AVMs, our estimates and predictive values are not solely based on linear regression and extrapolation of historic sales prices.

Our Machine learning process uses hedonic drivers which means that you can even vary these drivers to predict the effect of these factors on current and future value on residential property; a new build or a complete development with no sales history, or even one that has not even yet been built!

Click the image to watch the video


The methodology that we use is based on hedonic factors. This is a revealed-preference method which determines the relative importance of the variables which affect the value. We have over 50 different drivers of these variables drawn from the most comprehensive and proprietary datasets in the industry. We take into account Idiosyncratic, Geospatial and Macroeconomic variables to create one of the most accurate automated valuation models available on the market.

If you want to be at the cutting edge of residential valuation, getting fast, accurate values, we can save you time and money, with transparency, clarity and consistency.

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Please contact us if you have questions about Houseprice.AI , our AI data analytics app, want access to our API, or would like to schedule a demo.

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Houseprice.AI is a RICS Tech Affiliate

Houseprice.AI - our data, your knowledge

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Houseprice.AI

  • Market leading ML technology
  • Incredibly accurate valuations
  • Reactive value reports
  • Proprietary API

Houseprice.AI is a data company specialising in identifying real value. We have the most comprehensive and proprietary data sets in the industry and have developed industry leading Machine Learning algorithms.

Applications across a range of markets

Our clients include: surveyors, banks, developers, buyers, vendors, investors and agents.

A disruptor in the value of Real Estate
  • Saves time and cuts costs
  • Raises standards and simple to use
  • Superior market intelligence
Information packed reactive value report

Including: comparables, historicals, forecasts, sales values, listings, rental values, greenspace, neighbourhood, transport, economics, EPC and much more.

Project Management

From one property to an entire portfolio. Revalue at any time. Change property specs and obtain the value of the property after the improvements. Revalue an individual property or the entire portfolio at any time.

Out of the box valuation widget

A valuable lead generator that can be embedded in your website

Superior market intelligence

The HP.AI Risk/Reward index, is a proprietary index that further enhances residential real estate data knowledge and improve decision making and profitability.

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Please contact us if you have questions about Houseprice.AI , our AI data analytics app, want access to our API, or would like to schedule a demo.

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Houseprice.AI is a RICS Tech Affiliate

Unwrapping 2019

Having just exited 2018, and as we step blinking into 2019, the team at Houseprice.AI thought that we should take a look at the year ahead. So to start with, we want to talk about property predictions and their accuracy.


As the Chinese proverb goes, the appropriately named year of the Pig promises to be an interesting time and clearly not just for the property market. All, largely due, to the ever surprising package we call Brexit.
So even though all the presents of 2018 are now unwrapped, one is sitting there and as we give the box a squeeze, we still have no clue what this one marked 'Brexit' will actually look like because the tag still reads 'Only open on March 29th'.

To help us we have reviewed a number of possible outcomes and scenarios and we have combined a number of resources and estimates from the following sources: Bank of England (BOE), Office for Budget Responsibility (OBR), Institute for Fiscal Studies (IFS), Centre for European Reform (CER) , Centre for Economic Policy Research (CEPR) all of which offer current best estimates for the UK’s economy and either explicitly or implicitly, associated potential impacts on the UK's residential property market.

Now many readers will say, 'ahah here's yet another crystal ball, mystic Meg exercise'. However, prediction is actually our business, and we are pretty good at it when it comes to property. By using objective data, paired with Machine Learning (ML), all expressed within a probabilistic framework, we are able to estimate property values to average errors of 2-3%. Our approach is scientific, by this we mean it is expressed as how probably wrong we are, not how absolutely right we are.

However there are three points that need to be stressed.

Firstly, it must be stated that the following are scenarios not forecasts. The scenarios illustrate what could happen, not even necessarily what is most likely to happen under a set of key assumptions. It is therefore a spectrum of outcomes that we worked with.


Secondly, whilst Brexit is clearly the major domestic factor for the UK, the global macro-economic environment is clearly another major concern. We could obviously mention the current fall in global stock markets, the prospect of further trade tensions between the US and China, the start of Quantitative Tightening (QT) and the flattening and inversion of the yield curve. All of the above point to much increased economic downside risks in addition to Brexit. For example, the chart below is reason for concern, since flattening of the yield curve, historically, is more often than not, a pretty good predictor of housing property declines.

Thirdly, whilst real estate is one of the largest asset classes, it is also the most heterogeneous. By comparison, traded stocks, bonds and commodities whilst also very diverse are far more standardised, so a further caveat we must make is that individual properties values can vary very greatly within a single location. Using our ML based algorithms we have high confidence for the predictive accuracy of our appraisal predictions at both a micro and property specific level. The image below links to an interactive map and this example in Stevenage - postcode outer SG4 - shows that HP.AI's average prediction error was 1.10% for 93 Terrace properties that sold and that we predicted over the previous 12 trailing months.

It should be mentioned that this is just one sample postcode area randomly taken from over 2,100 postcode areas that we estimate precise individual property values for, every month, based on our estimates vs actual Land Registry transactions. In fact, if you click on the map image you can see the sample for 12 months up to November 2018 has over 530,000 property valuations. Incidentally why only 530,000? Well we have to calibrate our ML models on the others, so some 700,000 in the last 12 months along with another 15 million from previous years.

Click the image to go to the reactive map

So whilst we are probably wrong, but we are also probably more likely to be less wrong than someone who is authoritatively pointing a finger in the air and citing subjective and anecdotal evidence. The interactive map below shows how accurate our valuations are in every postcode in England & Wales.

Click the image to go to the reactive map
We hope you have a good week!

Eldred Buck is CEO and Co-Founder of Houseprice.AI Ltd. He has over 25 years experience in capital markets and banking, specialising in quantitative models and derivatives trading across all major asset classes. Previously he founded Eiger Trading Advisors, a leading fintech company.
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Christmas for AI

Vivienne Brooks is the CCO of Houseprice.AI She has a long history as a Technical Software Support Guru, is a graphic artist and also has a strong background in Marketing.
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Did you know that there is more to Houseprice.AI than values?

Do you want to improve your data analytics? Using AI and machine learning we can provide you with the tools to increase your profitability.
Our new  proprietary reports and benchmarks provide fast and objective comparative analyses between residential projects, from single family homes through to large scale developments.
The Insight module within our app,Horizon, distils billions of data points to help you identify emerging areas with steady home appreciation and high rental returns.
Our API delivers our proprietary data into your own applications and business processes and will give you a competitive edge over your competition.

We want to work alongside you and help you every step of the way, as little or as much as you require.

Need More Information?

Please contact us if you have questions about Houseprice.AI , our AI data analytics app, want access to our API, or would like to schedule a demo.

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Robert Marsden talks about the application of Houseprice.AI technology

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Artificial intelligence

Artificial intelligence is very much a buzz word right now and quite rightly so. However, to me what’s most important is the application of the technology.

How Houseprice.AI uses this technology

We provide a transparent and objective solution to help people to make some of the very large and important decisions. In the case of home owners probably the largest, most important decision they make in their lives. And, in the case of investors, clearly objective repeatable process is all important.

Why Houseprice.AI?

I have known the founders for many years. In the case of Eldred, over 20 years. He has a good track record of getting businesses off the launchpad, and in the case of Houseprice.AI, it really is in a peer group of one in Europe.

Providing an objective, repeatable and transparent methodology really is transformational in one of the largest asset classes in the world.

Robert Marsden is COO of Houseprice AI. Previously Investment Director with Fidelity Worldwide Investment, he is experienced in all the major asset classes and provides insight with a view to the perspective of users of pricing mortgage backed securities and RMBS style assets. During a 30 year career, he has been with Coal Pension Trustees Services, BlueCrest Capital Management, LLP, Mercer Investment Consulting, NCB and Lombard Odier.
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Please contact us if you have questions about Houseprice.AI , our AI data analytics app, want access to our API, or would like to schedule a demo.

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